Indroce Osi Layer Model Tcp
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The document introduces the TCP layer of the OSI model. TCP provides reliable and ordered delivery of data between programs on different computers. Common applications that use TCP include the web, email, and file transfer. TCP also controls message size, exchange rate, and network congestion.
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protocols and types of protocols.
contents
Protocol
Types of protocol
Transmission control protocol (TCP)
internet protocol (IP)
Hyper text transfer protocol (HTTP)
Simple mail transfer protocol (SMTP)
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protocol:-A protocol is a set of rules for the exchange of data between a terminal and computer or between two computers. Think of protocol as a sort of recommunication agreement about the form in which a message or data is to be sent and receipt is to be acknowledge.
transmission control protocol(TCP):-This protocol ensures the delivery of information packets across network.
internet protocol (IP):-This important protocol is responsible for providing logical addressing called IP address to route information between networks.
hyper text transfer protocol (HTTP):- This protocol is used to access, send and receive Hypertext Markup Language (HTML) files on the Internet.
simple mail transfer protocol(SMTP):-This protocol is used for transferring email between computers.
file transfer protocol(FTP):-FTP is responsible for allowing file to be copied between devices.
layers:-In computer programming, layering is the organization of programming into separate functional components that interact in some sequential and hierarchical way, with each layer usually having an interface only to the layer above it and the layer below it.
thankyou.
Ta 104-tcp
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Types of protocol
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protocol:-A protocol is a set of rules for the exchange of data between a terminal and computer or between two computers. Think of protocol as a sort of recommunication agreement about the form in which a message or data is to be sent and receipt is to be acknowledge.
transmission control protocol(TCP):-This protocol ensures the delivery of information packets across network.
internet protocol (IP):-This important protocol is responsible for providing logical addressing called IP address to route information between networks.
hyper text transfer protocol (HTTP):- This protocol is used to access, send and receive Hypertext Markup Language (HTML) files on the Internet.
simple mail transfer protocol(SMTP):-This protocol is used for transferring email between computers.
file transfer protocol(FTP):-FTP is responsible for allowing file to be copied between devices.
layers:-In computer programming, layering is the organization of programming into separate functional components that interact in some sequential and hierarchical way, with each layer usually having an interface only to the layer above it and the layer below it.
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This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Senior Data Scientist - JohnSnowLabs
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
An All-Around Benchmark of the DBaaS Market
The entire database market is moving towards Database-as-a-Service (DBaaS), resulting in a heterogeneous DBaaS landscape shaped by database vendors, cloud providers, and DBaaS brokers. This DBaaS landscape is rapidly evolving and the DBaaS products differ in their features but also their price and performance capabilities. In consequence, selecting the optimal DBaaS provider for the customer needs becomes a challenge, especially for performance-critical applications.
To enable an on-demand comparison of the DBaaS landscape we present the benchANT DBaaS Navigator, an open DBaaS comparison platform for management and deployment features, costs, and performance. The DBaaS Navigator is an open data platform that enables the comparison of over 20 DBaaS providers for the relational and NoSQL databases.
This talk will provide a brief overview of the benchmarked categories with a focus on the technical categories such as price/performance for NoSQL DBaaS and how ScyllaDB Cloud is performing.
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Containers & AI - Beauty and the Beast!?!
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
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