A tutorial about the API for the description of a monitoring infrastructure currently discussed inside the OCCI working group.
The slides start by giving the basic concepts, proceed with a description of the entities that implement the monitoring infrastructure, and conclude with a step by step definition of a non-trivial monitoring infrastructure.
The extension of the OCCI framework to describe a monitoring infrastructure.
A demo explains how the infrastructure is generated starting from the OCCI specification.
The source of the demo (in Java) is available in the repository of the OCCI working group.
CyberLab Training Division :
Intel VTune Amplifier is a commercial application for software performance analysis for 32 and 64-bit x86 based machines, and has both GUI and command line interfaces. It is available for both Linux and Microsoft Windows operating systems. Although basic features work on both Intel and AMD hardware, advanced hardware-based sampling requires an Intel-manufactured CPU.
Whether you are tuning for the first time or doing advanced performance optimization, Intel® VTune Amplifier provides a rich set of performance insight into CPU & GPU performance, threading performance & scalability, bandwidth, caching and much more. Analysis is faster and easier because VTune Amplifier understands common threading models and presents information at a higher level that is easier to interpret. Use its powerful analysis to sort, filter and visualize results on the timeline and on your source.
It is available as part of Intel Parallel Studio or as a stand-alone product.
VTune Amplifier assists in various kinds of code profiling including stack sampling, thread profiling and hardware event sampling. The profiler result consists of details such as time spent in each sub routine which can be drilled down to the instruction level. The time taken by the instructions are indicative of any stalls in the pipeline during instruction execution. The tool can be also used to analyze thread performance. The new GUI can filter data based on a selection in the timeline.
For More Details.
Visit: http://www.cyberlabzone.com
After a model has been deployed, it's important to understand how the model is being used in production, and to detect any degradation in its effectiveness due to data drift. This module describes tech- niques for monitoring models and their data.
COIT20270 Application Development for Mobile PlatformsWeek 4.docxmary772
COIT20270 Application Development for Mobile Platforms
Week 4: Designing UI’s with Views
Dr. R. Balsys, CQU, 2012.
Source: Beginning Android Programming with Android Studio, J.F. DiMarzio, 2016
Week 4 – Designing UI’s with Views
Objectives, to understand how to use:
basic views
TextView views
Button, ImageButton, EditText, Checkbox, ToggleButton, RadioButton and RadioGroup views
ProgressBar views
AutoCompleteTextView views
Picker views – TimePicker and DatePicker
CQU - COIT20270 Application Development for Mobile Platforms
Basic Views
Basic views allow you to display text and perform selection. This includes-
TextView
Button
ImageButton
EditText
Checkbox
ToggleButton
RadioButton
RadioGroup
CQU - COIT20270 Application Development for Mobile Platforms
3
TextView view
This basic view allows you to display static text
<TextView> elements are contained in the main.xml file in the res/layout directory
CQU - COIT20270 Application Development for Mobile Platforms
4
Other Basic Views
Other basic views you will use include:
Button – a push button widget
ImageButton – a Button with an image on it
EditText – subclass of TextView with editable text
CheckBox – a button with checked and unchecked states
RadioGroup and RadioButton – RadioGroup is used to group RadioButton’s
ToggleButton – displays states using a light indicator
CQU - COIT20270 Application Development for Mobile Platforms
5
…Other Basic Views
Use “fill_parent” for android:layout_width or android:layout_height so that the basic view fills the parent view space
Use “wrap_content” for android:layout_width or android:layout_height so that the basic view tightly bounds the content only
The android:src value is used to define the image for an ImageButton
You can use the style attribute to set the style of a CheckBox to a star
RadioButtons in a RadioGroup automatically toggle off when one is selected
CQU - COIT20270 Application Development for Mobile Platforms
6
…Other Basic Views
Use android:orientation=“horizontal” to place RadioButtons horizontally, rather than in the default vertical layout
The android:id of a view is used by View.findViewById() to identify each unique view by its Id
The setOnClickListener() method is used to define a call-back for handling a click on a view
CQU - COIT20270 Application Development for Mobile Platforms
7
ProgressBar View
The ProgressBar view is used to indicate progress of some background task
The default view is indeterminate, merely showing cyclic animation, that you stop when the activity is complete
You hide a ProgressBar by setting its Visibility attribute to View.Gone. This stops the ProgressBar and removes the it from the view
You can change the look of the ProgressBar using the constants: Widget.ProgressBar.Horizontal, Widget.ProgressBar.Small, Widget.ProgressBar.Large, Widget.ProgressBar.Inverse, Widget.ProgressBar.Small.Inverse, Widget.ProgressBar.Large.Inverse
CQU - COIT20270 Application Development for Mobile.
1 Object tracking using sensor network Orla SahiSilvaGraf83
1
Object tracking using sensor network
Orla Sahithi Reddy, email:[email protected]
Abstract—With the help of sensor networks we can keep
track on the events using low and tiny powered devices.
In the paper, we are going to analyze and compare
multiple object tracking methods. Instead of using a
single sensor we use multiple sensors and space them, so
it gives us information. Wireless sensor networks has
node with sensor capabilities and place in object
proximity for detecting them. Sensor networks are
applicable in many fields. Depending on the object
tracking in sensor network ranging from defense and
military applications to earth sciences and
environmental, habitat monitoring, traffic monitoring,
surveillance and military reconnaissance and cross-
border which involves habitat monitoring, infiltration
and other commercial applications.
Index Terms—energy efficient object tracking, object
tracking, quality of tracking, wireless sensor networks,
multi target tracking, routing
I. INTRODUCTION
We Need to have a gathering of frameworks which
cooperate to follow an item rather than a solitary
sensor. Due to this strength, ability and productivity of
the arrangement. Various sensors mitigate the issue of
single purpose of disappointment. A Single costly
sensor expands the danger of disappointment over the
zone of intrigue. Every sensor hub has a sensor ready,
a processor and a remote handset. Normally, a
following application research can be ordered in two
different ways. In recent years, Wireless sensor
network is one of the rapidly growing area[1]. To
begin with, the issue of precisely evaluating the area
of article and second being in organize information
preparing and information conglomeration model for
following item. Article can be situated out commonly
by two activities; by update from the sensors or
questioning the sensor for information to find the item.
Checking of articles would require less time than
following of new item.
Regularly, a remote sensor organize comprises of
enormous number of sensor hubs and is wanted to find
an item in the sensor arrange by playing out a routine
occasionally. This included following the article and
assembling data.
This is a term paper submitted for course requirement fulfillment of
“Advanced Wireless Networks”.
Sahithi Reddy Orla is current student in Wright State University
Computer Science and Engineering Department, Fairborn, OH
45324, USA (e-mail: [email protected], UID: U00916256).
We have to have a particular calculation to process or
track the area of the article with the assistance of
information There are different sorts of item following
strategies which can be looked at and broke down. In
remote sensor systems we have sensor hubs to find an
item in the system. This procedure is done
occasionally including gathering information from
sensor hubs.
There are two sign ...
Wearable Gait Classification Using STM SensortileShayan Mamaghani
- Successful and efficient classification of gait behavior.
- Automated real-time discrimination.
- Used STM Sensortile in a dual sensor data acquisition module and a Beaglebone for processing.
- Utilized the FANN neural network library to train and test the system.
Threshold based filtering technique for efficient moving object detection and...eSAT Journals
Abstract Detection and tracking of moving objects are an important research area in a video surveillance application. Object tracking is
used in several applications such as video compression, surveillance, robot technology and so on. Recently many researches has
been developed for video object detection, however the object detection accuracy and background object detection in the video
frames are still poses demanding issues. In this paper, a novel framework called Threshold Filtered Video Object Detection and
Tracking (TFVODT) is designed for effective detection and tracking of moving objects. TFVODT framework initially takes video
file as input, and then video frames are segmented using Median Filter-based Enhanced Laplacian Thresholding for improving
the video quality by reducing mean square error. Next, Color Histogram-based Particle Filter is applied to the segmented objects
in TFVODT framework for video object tracking. The Color Histogram-based Particle Filter measures the likelihood function,
particle posterior and particle prior function based on the Bayes Sequential Estimation model for improving the object tracking
accuracy. Finally, the objects detection is performed with help of Improvisation of Enhanced Laplacian Threshold (IELT) to
enhance video object detection accuracy and to recognize background moving object detection. The proposed TFVODT
framework using video images obtained from Internet Archive 501(c) (3) for conducting experiment and comparison is made with
the existing object detection techniques. Experimental evaluation of TFVODT framework is done with the performance metrics
such as object segmentation accuracy, Peak Signal to Noise Ratio, object tracking accuracy, Mean Square Error and object
detection accuracy of moving video object frames. Experimental analysis shows that the TFVODT framework is able to improve
the video object detection accuracy by 18% and reduces the Peak Signal to Noise Ratio by 23 % when compared to the state-ofthe-
art works.
Keywords: Object segmentation, Object tracking, Object Detection, Enhanced Laplacian Thresholding, Median
Filter, Color Histogram-based Particle Filter
Slides for the presentation given at the Webist 2021 conference
Abstract:
A research team that wants to validate a new IoT solution has to implement a testbed. It is a complex step
since it must provide a realistic environment, and this may require skills that are not present in the team. This
paper explores the requirements of an IoT testbed and proposes an open-source solution based on low-cost
and widely available components and technologies. The testbed implements an architecture consisting of a
collector managing several edge devices. Security levels and duty-cycle are tunable depending on the specific
application. After analyzing the testbed requirements, the paper illustrates a template that uses WiFi for the
link layer, HTTPS for structured communication, an ESP8266 board for edge units, and a RaspberryPi for the
collector.
The extension of the OCCI framework to describe a monitoring infrastructure.
A demo explains how the infrastructure is generated starting from the OCCI specification.
The source of the demo (in Java) is available in the repository of the OCCI working group.
CyberLab Training Division :
Intel VTune Amplifier is a commercial application for software performance analysis for 32 and 64-bit x86 based machines, and has both GUI and command line interfaces. It is available for both Linux and Microsoft Windows operating systems. Although basic features work on both Intel and AMD hardware, advanced hardware-based sampling requires an Intel-manufactured CPU.
Whether you are tuning for the first time or doing advanced performance optimization, Intel® VTune Amplifier provides a rich set of performance insight into CPU & GPU performance, threading performance & scalability, bandwidth, caching and much more. Analysis is faster and easier because VTune Amplifier understands common threading models and presents information at a higher level that is easier to interpret. Use its powerful analysis to sort, filter and visualize results on the timeline and on your source.
It is available as part of Intel Parallel Studio or as a stand-alone product.
VTune Amplifier assists in various kinds of code profiling including stack sampling, thread profiling and hardware event sampling. The profiler result consists of details such as time spent in each sub routine which can be drilled down to the instruction level. The time taken by the instructions are indicative of any stalls in the pipeline during instruction execution. The tool can be also used to analyze thread performance. The new GUI can filter data based on a selection in the timeline.
For More Details.
Visit: http://www.cyberlabzone.com
After a model has been deployed, it's important to understand how the model is being used in production, and to detect any degradation in its effectiveness due to data drift. This module describes tech- niques for monitoring models and their data.
COIT20270 Application Development for Mobile PlatformsWeek 4.docxmary772
COIT20270 Application Development for Mobile Platforms
Week 4: Designing UI’s with Views
Dr. R. Balsys, CQU, 2012.
Source: Beginning Android Programming with Android Studio, J.F. DiMarzio, 2016
Week 4 – Designing UI’s with Views
Objectives, to understand how to use:
basic views
TextView views
Button, ImageButton, EditText, Checkbox, ToggleButton, RadioButton and RadioGroup views
ProgressBar views
AutoCompleteTextView views
Picker views – TimePicker and DatePicker
CQU - COIT20270 Application Development for Mobile Platforms
Basic Views
Basic views allow you to display text and perform selection. This includes-
TextView
Button
ImageButton
EditText
Checkbox
ToggleButton
RadioButton
RadioGroup
CQU - COIT20270 Application Development for Mobile Platforms
3
TextView view
This basic view allows you to display static text
<TextView> elements are contained in the main.xml file in the res/layout directory
CQU - COIT20270 Application Development for Mobile Platforms
4
Other Basic Views
Other basic views you will use include:
Button – a push button widget
ImageButton – a Button with an image on it
EditText – subclass of TextView with editable text
CheckBox – a button with checked and unchecked states
RadioGroup and RadioButton – RadioGroup is used to group RadioButton’s
ToggleButton – displays states using a light indicator
CQU - COIT20270 Application Development for Mobile Platforms
5
…Other Basic Views
Use “fill_parent” for android:layout_width or android:layout_height so that the basic view fills the parent view space
Use “wrap_content” for android:layout_width or android:layout_height so that the basic view tightly bounds the content only
The android:src value is used to define the image for an ImageButton
You can use the style attribute to set the style of a CheckBox to a star
RadioButtons in a RadioGroup automatically toggle off when one is selected
CQU - COIT20270 Application Development for Mobile Platforms
6
…Other Basic Views
Use android:orientation=“horizontal” to place RadioButtons horizontally, rather than in the default vertical layout
The android:id of a view is used by View.findViewById() to identify each unique view by its Id
The setOnClickListener() method is used to define a call-back for handling a click on a view
CQU - COIT20270 Application Development for Mobile Platforms
7
ProgressBar View
The ProgressBar view is used to indicate progress of some background task
The default view is indeterminate, merely showing cyclic animation, that you stop when the activity is complete
You hide a ProgressBar by setting its Visibility attribute to View.Gone. This stops the ProgressBar and removes the it from the view
You can change the look of the ProgressBar using the constants: Widget.ProgressBar.Horizontal, Widget.ProgressBar.Small, Widget.ProgressBar.Large, Widget.ProgressBar.Inverse, Widget.ProgressBar.Small.Inverse, Widget.ProgressBar.Large.Inverse
CQU - COIT20270 Application Development for Mobile.
1 Object tracking using sensor network Orla SahiSilvaGraf83
1
Object tracking using sensor network
Orla Sahithi Reddy, email:[email protected]
Abstract—With the help of sensor networks we can keep
track on the events using low and tiny powered devices.
In the paper, we are going to analyze and compare
multiple object tracking methods. Instead of using a
single sensor we use multiple sensors and space them, so
it gives us information. Wireless sensor networks has
node with sensor capabilities and place in object
proximity for detecting them. Sensor networks are
applicable in many fields. Depending on the object
tracking in sensor network ranging from defense and
military applications to earth sciences and
environmental, habitat monitoring, traffic monitoring,
surveillance and military reconnaissance and cross-
border which involves habitat monitoring, infiltration
and other commercial applications.
Index Terms—energy efficient object tracking, object
tracking, quality of tracking, wireless sensor networks,
multi target tracking, routing
I. INTRODUCTION
We Need to have a gathering of frameworks which
cooperate to follow an item rather than a solitary
sensor. Due to this strength, ability and productivity of
the arrangement. Various sensors mitigate the issue of
single purpose of disappointment. A Single costly
sensor expands the danger of disappointment over the
zone of intrigue. Every sensor hub has a sensor ready,
a processor and a remote handset. Normally, a
following application research can be ordered in two
different ways. In recent years, Wireless sensor
network is one of the rapidly growing area[1]. To
begin with, the issue of precisely evaluating the area
of article and second being in organize information
preparing and information conglomeration model for
following item. Article can be situated out commonly
by two activities; by update from the sensors or
questioning the sensor for information to find the item.
Checking of articles would require less time than
following of new item.
Regularly, a remote sensor organize comprises of
enormous number of sensor hubs and is wanted to find
an item in the sensor arrange by playing out a routine
occasionally. This included following the article and
assembling data.
This is a term paper submitted for course requirement fulfillment of
“Advanced Wireless Networks”.
Sahithi Reddy Orla is current student in Wright State University
Computer Science and Engineering Department, Fairborn, OH
45324, USA (e-mail: [email protected], UID: U00916256).
We have to have a particular calculation to process or
track the area of the article with the assistance of
information There are different sorts of item following
strategies which can be looked at and broke down. In
remote sensor systems we have sensor hubs to find an
item in the system. This procedure is done
occasionally including gathering information from
sensor hubs.
There are two sign ...
Wearable Gait Classification Using STM SensortileShayan Mamaghani
- Successful and efficient classification of gait behavior.
- Automated real-time discrimination.
- Used STM Sensortile in a dual sensor data acquisition module and a Beaglebone for processing.
- Utilized the FANN neural network library to train and test the system.
Threshold based filtering technique for efficient moving object detection and...eSAT Journals
Abstract Detection and tracking of moving objects are an important research area in a video surveillance application. Object tracking is
used in several applications such as video compression, surveillance, robot technology and so on. Recently many researches has
been developed for video object detection, however the object detection accuracy and background object detection in the video
frames are still poses demanding issues. In this paper, a novel framework called Threshold Filtered Video Object Detection and
Tracking (TFVODT) is designed for effective detection and tracking of moving objects. TFVODT framework initially takes video
file as input, and then video frames are segmented using Median Filter-based Enhanced Laplacian Thresholding for improving
the video quality by reducing mean square error. Next, Color Histogram-based Particle Filter is applied to the segmented objects
in TFVODT framework for video object tracking. The Color Histogram-based Particle Filter measures the likelihood function,
particle posterior and particle prior function based on the Bayes Sequential Estimation model for improving the object tracking
accuracy. Finally, the objects detection is performed with help of Improvisation of Enhanced Laplacian Threshold (IELT) to
enhance video object detection accuracy and to recognize background moving object detection. The proposed TFVODT
framework using video images obtained from Internet Archive 501(c) (3) for conducting experiment and comparison is made with
the existing object detection techniques. Experimental evaluation of TFVODT framework is done with the performance metrics
such as object segmentation accuracy, Peak Signal to Noise Ratio, object tracking accuracy, Mean Square Error and object
detection accuracy of moving video object frames. Experimental analysis shows that the TFVODT framework is able to improve
the video object detection accuracy by 18% and reduces the Peak Signal to Noise Ratio by 23 % when compared to the state-ofthe-
art works.
Keywords: Object segmentation, Object tracking, Object Detection, Enhanced Laplacian Thresholding, Median
Filter, Color Histogram-based Particle Filter
Similar to Extending the OCCI API with monitoring capabilities (20)
Slides for the presentation given at the Webist 2021 conference
Abstract:
A research team that wants to validate a new IoT solution has to implement a testbed. It is a complex step
since it must provide a realistic environment, and this may require skills that are not present in the team. This
paper explores the requirements of an IoT testbed and proposes an open-source solution based on low-cost
and widely available components and technologies. The testbed implements an architecture consisting of a
collector managing several edge devices. Security levels and duty-cycle are tunable depending on the specific
application. After analyzing the testbed requirements, the paper illustrates a template that uses WiFi for the
link layer, HTTPS for structured communication, an ESP8266 board for edge units, and a RaspberryPi for the
collector.
Lezione tenuta nel corso di Mobile and Cyber Physical Systems della Laurea Magistrale di Informatica a Pisa.
- Le App per l'integrazione con altri servizi: ThingTweet e ThingHTTPi
- Le App per l'innesco di azioni: TimeControl, TweetControl e React
- Esercizi pratici in Python
Lezione tenuta nel corso di Mobile and Cyber Physical Systems della Laurea Magistrale di Informatica a Pisa.
- Introduzione a ThingSpeak
- Pubblicazione e recupero di dati
- Pubblicazione e recupero di comandi CallBack
- Esercizi pratici in Python
Slides of the presentation at IEEE WiMob/SEUNet 2017, in Rome.
We exploit an overlooked feature of the ESP8266 WiFi chip, i.e. the AT commands interpreter, to implement a sensor/actuator that meets the above specifications. To test our design, we implement a library that provides a transparent wrapper for AT commands. Hardware and software are available on bitbucket.
Collision avoidance using a wandering token in the PTP protocolAugusto Ciuffoletti
Slides presented during the 2010 WIGOWIN Workshop at the Department of Computer Science in Pisa - May 26.
Full paper available at http://eprints.adm.unipi.it
Algorithms based on the circulation of a unique token are often indicated in the coordination of distributed systems. We introduce the design of the token passing operation at application level, that exhibits the requirements of security, since the token is a sensitive resource, and scalability, since the token passing protocol must not implement security at expense of scalability. These
characteristics make our solution suitable for large scale distributed infrastructures.
The paper explores network virtualization issues related with the Cloud Computing paradigm (mainly intended as IaaS). Finally, we consider this framework from a network monitoring perspective.
The paper is an outcome of the CoreGRID working group at ERCIM.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Pushing the limits of ePRTC: 100ns holdover for 100 days
Extending the OCCI API with monitoring capabilities
1. OCCI Monitoring
Augusto Ciuffoletti
OCCI Monitoring
Extending the OCCI API with monitoring capabilities
Augusto Ciuffoletti
Dept. of Computer Science - Univ. of Pisa
September 13, 2013
4. OCCI Monitoring
Augusto Ciuffoletti
Motivation
SLA is a defined target to obtain user confidence
SLA is tightly related with monitoring, so we start from
cloud monitoring
The user may be in its turn a service provider (inside
monitoring)
5. OCCI Monitoring
Augusto Ciuffoletti
Motivation
SLA is a defined target to obtain user confidence
SLA is tightly related with monitoring, so we start from
cloud monitoring
The user may be in its turn a service provider (inside
monitoring)
The user may simply want to verify the quality of the
service (outside monitoring)
6. OCCI Monitoring
Augusto Ciuffoletti
Motivation
SLA is a defined target to obtain user confidence
SLA is tightly related with monitoring, so we start from
cloud monitoring
The user may be in its turn a service provider (inside
monitoring)
The user may simply want to verify the quality of the
service (outside monitoring)
In both cases, the user needs the tools to define
resource monitoring
7. OCCI Monitoring
Augusto Ciuffoletti
Motivation
SLA is a defined target to obtain user confidence
SLA is tightly related with monitoring, so we start from
cloud monitoring
The user may be in its turn a service provider (inside
monitoring)
The user may simply want to verify the quality of the
service (outside monitoring)
In both cases, the user needs the tools to define
resource monitoring
Keep into account the case of a composite service
(many providers)
8. OCCI Monitoring
Augusto Ciuffoletti
Motivation
SLA is a defined target to obtain user confidence
SLA is tightly related with monitoring, so we start from
cloud monitoring
The user may be in its turn a service provider (inside
monitoring)
The user may simply want to verify the quality of the
service (outside monitoring)
In both cases, the user needs the tools to define
resource monitoring
Keep into account the case of a composite service
(many providers)
A simple API aligned with OCCI
11. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
Monitoring is made of three basic activities
extract operational parameters from a Resource
gather the operational parameters to obtain the
measure of a metric of interest
12. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
Monitoring is made of three basic activities
extract operational parameters from a Resource
gather the operational parameters to obtain the
measure of a metric of interest
deliver the measurement to the relevant party
14. OCCI Monitoring
Augusto Ciuffoletti
Aggregate and deliver
Distiguished activities that need the provision of
computing, storage, networking resources
Tightly integrated, under control of the provider
15. OCCI Monitoring
Augusto Ciuffoletti
Aggregate and deliver
Distiguished activities that need the provision of
computing, storage, networking resources
Tightly integrated, under control of the provider
Candidate for the introduction of a new kind of
resource: the Sensor
16. OCCI Monitoring
Augusto Ciuffoletti
Aggregate and deliver
Distiguished activities that need the provision of
computing, storage, networking resources
Tightly integrated, under control of the provider
Candidate for the introduction of a new kind of
resource: the Sensor
The user that wants to exert monitoring instantiates
(and pays for) a Sensor
17. OCCI Monitoring
Augusto Ciuffoletti
Aggregate and deliver
Distiguished activities that need the provision of
computing, storage, networking resources
Tightly integrated, under control of the provider
Candidate for the introduction of a new kind of
resource: the Sensor
The user that wants to exert monitoring instantiates
(and pays for) a Sensor
Note: a cost is associated to the Sensor, although this
is not explicit in the definition of monitoring
20. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
The monitoring function is controlled by time
The native attributes of a Sensor are:
How frequently it produces a new measurement
21. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
The monitoring function is controlled by time
The native attributes of a Sensor are:
How frequently it produces a new measurement
During which time lapse it performs the measurements
22. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
The monitoring function is controlled by time
The native attributes of a Sensor are:
How frequently it produces a new measurement
During which time lapse it performs the measurements
Too many variants for aggregation/delivery:
OCCI-mixins
23. OCCI Monitoring
Augusto Ciuffoletti
Basic functions
The monitoring function is controlled by time
The native attributes of a Sensor are:
How frequently it produces a new measurement
During which time lapse it performs the measurements
Too many variants for aggregation/delivery:
OCCI-mixins
Mixins are classified using tags (sort of subtyping)
25. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
26. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
This is represented as a collector link from the sensor to
the resource
27. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
This is represented as a collector link from the sensor to
the resource
The generic attributes of a collector correspond to the
sampling period:
28. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
This is represented as a collector link from the sensor to
the resource
The generic attributes of a collector correspond to the
sampling period:
The sampling period
29. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
This is represented as a collector link from the sensor to
the resource
The generic attributes of a collector correspond to the
sampling period:
The sampling period
The accuracy of the sampling period
30. OCCI Monitoring
Augusto Ciuffoletti
Extract measurements
This is an ability that a sensor has with respect to a real
resource
Capability of extracting measurements (e.g., through
resource instrumentation)
This is represented as a collector link from the sensor to
the resource
The generic attributes of a collector correspond to the
sampling period:
The sampling period
The accuracy of the sampling period
OCCI-mixins are introduced to specify the measurement
technique used
31. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
32. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
33. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
By defining tagged mixins, the provider describes the
monitoring capabilities offered to the user
34. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
By defining tagged mixins, the provider describes the
monitoring capabilities offered to the user
Next slides describe three such tags:
35. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
By defining tagged mixins, the provider describes the
monitoring capabilities offered to the user
Next slides describe three such tags:
metric specific for collector links
36. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
By defining tagged mixins, the provider describes the
monitoring capabilities offered to the user
Next slides describe three such tags:
metric specific for collector links
aggregator specific for sensor resources
37. OCCI Monitoring
Augusto Ciuffoletti
Mixin sub-typing: the tags
According with the OCCI core specification a mixin with
no attributes (a tag) can be associated to another mixin
as a sort of label
Syntactic and semantic restrictions can be introduced
for mixins with a certain label, thus supporting a
specification
By defining tagged mixins, the provider describes the
monitoring capabilities offered to the user
Next slides describe three such tags:
metric specific for collector links
aggregator specific for sensor resources
publisher specific for sensor resources
39. OCCI Monitoring
Augusto Ciuffoletti
The metric tag
The tag metric is associated with a measurement
technique, and is related with a collector link;
The mixin that has the metric tag has the following
attributes:
40. OCCI Monitoring
Augusto Ciuffoletti
The metric tag
The tag metric is associated with a measurement
technique, and is related with a collector link;
The mixin that has the metric tag has the following
attributes:
metric attribute strings that are used as an identifier to
refer to the output measurement stream
41. OCCI Monitoring
Augusto Ciuffoletti
The metric tag
The tag metric is associated with a measurement
technique, and is related with a collector link;
The mixin that has the metric tag has the following
attributes:
metric attribute strings that are used as an identifier to
refer to the output measurement stream
control attributes used to control the measurement
process (e.g. packet length of a ping)
42. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
43. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
an aggregator mixin is related with a sensor resource
44. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
an aggregator mixin is related with a sensor resource
the mixin with the aggregator tag are characterized by:
45. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
an aggregator mixin is related with a sensor resource
the mixin with the aggregator tag are characterized by:
input attributes strings that are used as an identifier to
refer to input measurement streams
46. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
an aggregator mixin is related with a sensor resource
the mixin with the aggregator tag are characterized by:
input attributes strings that are used as an identifier to
refer to input measurement streams
control attributes that are parameters for the
aggregation function (e.g. the gain in an
EWMA)
47. OCCI Monitoring
Augusto Ciuffoletti
The aggregator tag
the tag aggregator is associated with a mixin that
implements an algorithm for monitoring data
aggregation
an aggregator mixin is related with a sensor resource
the mixin with the aggregator tag are characterized by:
input attributes strings that are used as an identifier to
refer to input measurement streams
control attributes that are parameters for the
aggregation function (e.g. the gain in an
EWMA)
metric attributes strings that are used as an identifier to
refer to the output measurement stream
48. OCCI Monitoring
Augusto Ciuffoletti
The publisher tag
the tag publisher is associated with a mixin that
implements a technique to deliver the data outside the
monitoring infrastructure
49. OCCI Monitoring
Augusto Ciuffoletti
The publisher tag
the tag publisher is associated with a mixin that
implements a technique to deliver the data outside the
monitoring infrastructure
a publisher mixin is related with a sensor resource
50. OCCI Monitoring
Augusto Ciuffoletti
The publisher tag
the tag publisher is associated with a mixin that
implements a technique to deliver the data outside the
monitoring infrastructure
a publisher mixin is related with a sensor resource
the mixin with a publisher tag are characterized by:
51. OCCI Monitoring
Augusto Ciuffoletti
The publisher tag
the tag publisher is associated with a mixin that
implements a technique to deliver the data outside the
monitoring infrastructure
a publisher mixin is related with a sensor resource
the mixin with a publisher tag are characterized by:
input attribute a string that is used as an identifier to
refer to input measurement stream
52. OCCI Monitoring
Augusto Ciuffoletti
The publisher tag
the tag publisher is associated with a mixin that
implements a technique to deliver the data outside the
monitoring infrastructure
a publisher mixin is related with a sensor resource
the mixin with a publisher tag are characterized by:
input attribute a string that is used as an identifier to
refer to input measurement stream
control attributes that are parameters for the publishing
function (e.g. the UDP port that is used
for streaming)
54. OCCI Monitoring
Augusto Ciuffoletti
The role of metric and input attributes
they describe the flow of monitoring data
their values are unique identifiers in a scope
corresponding to a sensor and all outgoing collectors
55. OCCI Monitoring
Augusto Ciuffoletti
The role of metric and input attributes
they describe the flow of monitoring data
their values are unique identifiers in a scope
corresponding to a sensor and all outgoing collectors
the provider is free to implement the transport of the
measurement stream in the most convenient way
57. OCCI Monitoring
Augusto Ciuffoletti
Shortcuts for simple use cases
here metric mixin, can be associated directly to the
monitored resource and has a web service interface
a tagged mixin can be associated with a generic
resource or link, avoiding the definition of a sensor or
collector
58. OCCI Monitoring
Augusto Ciuffoletti
Shortcuts for simple use cases
here metric mixin, can be associated directly to the
monitored resource and has a web service interface
a tagged mixin can be associated with a generic
resource or link, avoiding the definition of a sensor or
collector
shortcuts effectively help very simple use cases, but are
generally a source of inefficiency and complexity
74. OCCI Monitoring
Augusto Ciuffoletti
Also in the document
Conformance profiles: to accomodate the presence of
providers that do not implement a monitoring interface
75. OCCI Monitoring
Augusto Ciuffoletti
Also in the document
Conformance profiles: to accomodate the presence of
providers that do not implement a monitoring interface
Security issues
76. OCCI Monitoring
Augusto Ciuffoletti
Also in the document
Conformance profiles: to accomodate the presence of
providers that do not implement a monitoring interface
Security issues
A detailed example using the http rendering
77. OCCI Monitoring
Augusto Ciuffoletti
Also in the document
Conformance profiles: to accomodate the presence of
providers that do not implement a monitoring interface
Security issues
A detailed example using the http rendering
...and several bugs.
78. OCCI Monitoring
Augusto Ciuffoletti
Also in the document
Conformance profiles: to accomodate the presence of
providers that do not implement a monitoring interface
Security issues
A detailed example using the http rendering
...and several bugs.
That’s all...