Web Server Load Balancing
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Web-Server Load Balancing, a process that distributes the load of various incoming requests to several servers (e.g. using a gateway that functions as a dispatcher), in an effort to balance the load among these servers in an optimal way. This thesis inspects the various methods and strategies of server load balancing, clearly identifying the advantages and disadvantages of each strategy. We present a working, high performance implementation of the content-aware traffic redirection strategy, using the most well known scheduling algorithms. We also present the results of testing the effectiveness of the implementation and the scheduling algorithms in several scenarios. Finally, based on our work, we concluded that what seem to be the best scheduling algorithms in the case of identical requests are the least CPU usage and the weighted random scheduling algorithms which have the best response time and the best throughput. While in the case of non-identical requests the weighted round robin and the least CPU usage have the least response time and the greatest throughput. By: Abdul-Lateef Haji-Ali, Yael Jari, Bashar Shehadeh, Mhd. Mamdouh Tarabishi Wael Tayara Supervised by: Dr. Ghassan Saba
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This document describes a server load balancing system for structured data. The objectives are to develop a load balancer that can manage large amounts of data and provide functionality for uploading, downloading, and deleting data, while providing reliability, scalability, and high performance. The system uses a master server to distribute loads to slave servers and track their locations. Clients communicate directly with slave servers to access data using unique keys. This allows for horizontal scaling and fault tolerance. The system is designed to handle large volumes of data across multiple servers and provide reliable access even if servers fail.
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Cloud computing is a new technology that brings new challenges to all organizations around the world.
Improving response time for user requests on cloud computing is a critical issue to combat bottlenecks. As
for cloud computing, bandwidth to from cloud service providers is a bottleneck. With the rapid development
of the scale and number of applications, this access is often threatened by overload. Therefore, this paper
our proposed Throttled Modified Algorithm(TMA) for improving the response time of VMs on cloud
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slides show the server load balancing
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Improving response time for user requests on cloud computing is a critical issue to combat bottlenecks. As
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of the scale and number of applications, this access is often threatened by overload. Therefore, this paper
our proposed Throttled Modified Algorithm(TMA) for improving the response time of VMs on cloud
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Load Balancing in Cloud Computing Thesis Research Help
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On-demand webinar recording: http://bit.ly/2mRjk2g
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But when you move from running your app in a development environment to deploying containers in production, you face new challenges – such as how to effectively run and scale an application across multiple hosts with the performance and uptime that your customers demand.
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* The pros and cons of moving to an advanced load balancer like NGINX
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* How to scale your Docker-based application with Swarm Mode and NGINX Plus
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Incapsula also provides real-time health monitoring to ensure that traffic is always routed to a viable web server.
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Load balancing aims to distribute work evenly across multiple computing resources like CPUs, servers, or disk drives. It helps maximize resource utilization, minimize response times, and avoid overloading or crashing systems. There are two main approaches: push migration moves processes from overloaded to underloaded CPUs, while pull migration moves processes from busy to idle CPUs. Load balancing can be static or dynamic. Dynamic load balancing continually monitors and adjusts to keep the workload balanced. Round robin load balancing schedules tasks to resources based on their weighted capacities to better handle differences in processing power. Load balancing principles can also apply to life by balancing responsibilities to manage everything effectively.
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This document discusses key factors of real-time distributed database systems. It defines hard and soft real-time systems and explains how concurrency control is more challenging in a distributed real-time environment. Both pessimistic and optimistic concurrency control approaches are covered. Replication strategies are also discussed, including full replication with eager vs lazy updating, and primary vs update-anywhere models. Partial replication is presented as an alternative to reduce overhead. The conclusion emphasizes that replication strategies must adapt to real-time constraints.
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Proxy servers can be optimized through caching, load balancing, and monitoring performance metrics. Caching web content on the local network improves performance by reducing bandwidth usage and speeding up access. Load balancing techniques like proxy arrays, network load balancing, and round robin DNS distribute traffic across multiple proxy servers for high availability and optimized performance. Monitoring components like CPU usage, memory, disk usage, and network bandwidth helps identify bottlenecks and areas for improvement.
PLB
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Optimiszing proxy
This document discusses various techniques for optimizing proxy server performance, including:
1) Establishing baseline performance metrics and monitoring the server to identify bottlenecks. Common bottlenecks include incorrect settings, faulty resources, insufficient resources, or applications hogging resources.
2) Caching web content and using proxy arrays, network load balancing, or round robin DNS to distribute load across multiple proxy servers for improved performance and high availability.
3) Monitoring server components like CPU usage, memory usage, disk performance, and network bandwidth to identify optimization opportunities.
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AGENDA
- How ETL operates
- How Change Data Capture (CDC) operates
- Replication operation
- Comparing data movement cadence
- The data impedance mismatch
Load Balancing in Cloud Computing Thesis Research Help
VITAL LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING
EXCLUSIVE SUPPORT FOR LOAD BALANCING THESIS
INVENTIVE RESEARCH AREAS IN LOAD BALANCING
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A load balancing model based on cloud partitioning for the public cloud. ppt
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The document discusses different types of servers including web servers. It explains that a web server is a computer that delivers web pages and requires server software and an internet connection. The most popular web server software includes Apache, Microsoft IIS, and Nginx. Apache is open source and developed by volunteers, IIS runs on Windows, and Nginx is known for high performance and low resource usage. The document provides statistics on market share and examples of popular sites using each type of server software.
Web Performance Part 3 "Server-side tips"
The presentation is devoted to server side tips on improving Web Performance. All 4 presentations will help you reduce latency, enrich optimization of javascript code, discover tricky parts when working with API browser, see best practices of networking and learn lots of other important and interesting things. Enjoy! =)
Kamailio - Load Balancing Load Balancers
Presentation done at Kamailio World 2013, Berlin, Germany - several options for scalability of SIP routing with Kamailio, from configuration file tricks to stateless and stateful load balancing with dispatcher module.
Optimal load balancing in cloud computing
The document proposes a novel VM-assign load balancing algorithm for efficiently allocating incoming requests to virtual machines in a cloud computing environment. It aims to avoid underutilization of resources. The algorithm maintains a table of VMs and their current load. When a request arrives, it selects the least loaded VM for processing. The experimental results using a CloudSim simulator show the algorithm balances load well across VMs, fully utilizing them without over or underloading. Future work could consider improving the algorithm's handling of mixed static and dynamic loads.
Web server hardware and software
The document discusses web servers, including what they are, common web server software like Apache, Microsoft IIS, and Nginx, and factors to consider for web server hardware configuration. Some key points include:
- Web servers are computers that deliver web pages to users and are identified by IP addresses and domain names.
- Popular web server software includes open source options like Apache and Nginx, as well as Microsoft's IIS. These programs manage serving web content.
- Important considerations for web server hardware include capacity for high traffic volumes, expandable RAM for caching content, fast processors and disk storage. Hardware is selected based on expected page views and response time needs.
Load-balancing web servers Load-balancing web servers
The document discusses different approaches to load balancing web servers to address issues like scaling performance, tolerating failures, and rolling upgrades. It describes three common solutions: redirecting requests through a front-end server; using round-robin DNS to distribute requests; and employing an intelligent load balancer switch that can distribute requests based on server load and detect failures. Each approach has advantages and disadvantages related to ease of implementation, visibility to users, and ability to handle session state. The document also discusses network designs and protocols involved in load balancing, including TCP connection setup and teardown.
Web Server Hardware and Software
This chapter discusses web server hardware and software. It covers the basics of web servers including the hardware, operating system, and server software required. It also discusses different types of web sites like development sites, intranets, extranets, e-commerce sites, and content delivery sites. Finally, it covers topics like server administration, hardware choices, load balancing, and hosting options.
Load Balancing In Cloud Computing newppt
The document discusses various load balancing algorithms for cloud computing including round robin, first come first serve (FCFS), and simulated annealing. It provides implementations of each algorithm in CloudSim and compares the results. Round robin and FCFS showed similar overall response times, data center processing times, and maximum/minimum values. Simulated annealing had slightly lower average overall response time. The document proposes using a genetic algorithm for host-side optimization to select the best host for virtual machine requests.
E Retailing
E-retailing refers to the process of selling products or services to consumers online. It is a subset of e-commerce that allows businesses to directly interact with customers through websites. The e-retailing industry has experienced significant growth in recent years and is projected to continue expanding rapidly. Successful e-retailers provide a convenient and enjoyable shopping experience for customers while ensuring product quality and reliable order fulfillment.
Internship final presentation
This document summarizes an internship at Abu Dhabi EHS (Abu Dhabi Environment Health and Safety Center) where the intern engaged in tasks like writing emails and calls, creating PowerPoints and proposals, research, design work, translation, and more. The internship helped them learn about asking questions when unsure, being professional, organizing work, learning through observation, and presentation techniques. The environment and employees were described positively and the intern believes the experience will help them get a job in the future. Suggestions are made for Zayed University to provide more internship preparation and job application support.
Chp 7 online customer behavior
The document discusses factors that influence online consumer behavior and the consumer decision-making process online. It describes types of online shoppers and models of consumer behavior and decision-making online. The key differences between online and traditional consumers are that online consumers have more alternatives to consider, place less importance on price over time, and loyalty is easier to lose online due to lower switching costs.
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Benchmarking NGINX for Accuracy and Results
View full webinar on demand at http://bit.ly/nginxbenchmarking
Whether you’re doing performance testing or planning for infrastructure needs, benchmarking can be a big deal. Join us for this webinar where we cover NGINX benchmarking best practices, including:
- the test environment
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- and more!
You’ll learn how to approach doing benchmarks so that you obtain results that are more accurate, better understood, and do a better job of addressing the needs of your project.
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This document summarizes a presentation on managing global traffic with Amazon Route 53 Traffic Flow. It introduces concepts for managing global traffic, how to use traffic flow for traffic management, and a case study on how Amazon uses traffic flow for virtual private network (VPN) endpoint selection. Traffic flow allows routing traffic to endpoints based on rules for failover, weighted routing, geolocation, and latency. The case study demonstrates how Amazon implemented geolocation and latency-based rules in a traffic policy to optimize routing of VPN users to the closest regions and servers.
Performance testing in scope of migration to cloud by Serghei Radov
This document discusses performance testing considerations for migrating an application to the cloud. It covers cloud computing principles like multi-tenancy and horizontal scalability. Challenges like over-provisioning and network issues are addressed. Effective provisioning using predictive auto-scaling is recommended. Tools for monitoring, load testing, and analyzing results are presented, including New Relic, DataDog, Flood.io, and JMeter. The document emphasizes defining acceptance criteria, workload characterization, and iterating on tests to analyze and scale resources. Costs of various performance testing tools on cloud providers are compared.
Performance and Scalability Tuning
This document discusses strategies for building scalable and high-performing web applications. It explains that scalability refers to the ability to handle increased load by adding more resources, while performance refers to individual request response times. The key to scalable performance is distributing load across application tiers and optimizing each tier individually. Bottlenecks should be identified and addressed starting from the earliest possible tier. Common techniques include caching, database optimization, thread pool tuning, and horizontal scaling.
haproxy-150423120602-conversion-gate01.pdf
HAProxy is a free, open source load balancer and reverse proxy that is fast, reliable and offers high availability. It can be used to load balance HTTP and TCP traffic, provide failover, and maximize throughput and availability. Many large companies use HAProxy to load balance their websites and applications. It offers out of band health checks, hot reconfiguration, and works on Linux, BSD, Solaris and AIX. When implementing HAProxy, you configure backends, frontends and load balancing algorithms in its configuration file and can monitor it with tools like Nagios.
HAProxy
HAProxy is a free, open-source load balancer and reverse proxy that is fast, reliable and offers high availability. It can be used to load balance HTTP and TCP-based applications. Some key features include out-of-band health checks, hot reconfiguration, and multiple load balancing algorithms. Many large companies use HAProxy to load balance their websites and applications. It runs on Linux, BSD, and Solaris and can be used to load balance applications across servers on-premises or in the cloud.
Advanced DNS Traffic Management using Amazon Route 53 - AWS Online Teck Talks
Dynamically managing routing and traffic to multiple network resources, such as web servers, app servers, and load balancers across multiple locations is challenging. Amazon Route 53 Traffic Flow provides a visual editor that helps you quickly create sophisticated trees that route traffic to the best endpoint for your application based on latency, health, and other considerations. The tech talk will explain how to use Traffic Flow to solve routing and traffic management use cases like disaster recovery, blue/green deployments, and A/B testing.
Deep Dive on Elastic Load Balancing
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
Understanding System Design and Architecture Blueprints of Efficiency
This exploration delves into the intricate world of system design and architecture, dissecting the fundamental principles and methodologies that underpin the creation of robust and scalable systems. From the conceptualization of software structures to the deployment of hardware components, this comprehensive study navigates through the critical decisions and considerations that engineers face when crafting efficient and reliable systems. Gain insights into best practices, design patterns, and emerging trends that shape the backbone of modern technology, empowering you to engineer solutions that stand the test of time. Whether you're a seasoned architect or an aspiring designer, embark on a journey to master the art and science of system design and architecture.
ScalabilityAvailability
The document discusses several concepts related to building scalable and available systems, including:
- Scalability involves a system's ability to handle expected loads with acceptable performance and to grow easily when loads increase. This may involve scaling up using bigger/faster systems or scaling out across multiple systems.
- Availability is the goal of having a system operational 100% of the time, requiring redundancy so there are no single points of failure.
- Performance measures like response time and throughput relate to a system's scalability and capacity. Distributing load across redundant and partitioned components can help improve scalability and availability.
Network Load Balancing.pptx
Load balancing distributes network or application traffic across multiple servers to optimize resource utilization and minimize response times. It involves monitoring the servers and directing incoming traffic to the server best able to handle it. Common algorithms include least connections, which sends traffic to the server with the fewest active connections, and round robin, which distributes traffic evenly in a circular fashion. Factors like network address translation requirements, server processing speeds, memory limitations, and application dependencies must be considered when selecting a load balancing method.
SOAP vs REST
The document discusses the key concepts of REST including resources, uniform interface, statelessness, and hypertext. Resources are addressed using URIs and manipulated through standard HTTP methods like GET, PUT, DELETE, and POST. The uniform interface allows resources to be navigated through links rather than embedded keys. Requests are stateless and cacheable to improve visibility, reliability, and scalability compared to SOAP which uses operations and is stateful.
Adding Value in the Cloud with Performance Test
This document discusses the importance of performance testing cloud applications and outlines best practices for defining performance requirements, testing methodology, and identifying issues. It provides examples of performance problems found in databases, applications, operating systems, and networks. The key goals of performance testing are to understand system behavior under load, find bottlenecks and hidden bugs, and verify that requirements are met.
My Dissertation 2016
This document summarizes a dissertation on an improved load balancing technique for secure data in cloud computing. The dissertation discusses research issues in load balancing and data security in cloud computing. It proposes a load balancing methodology that uses a load balancer, Kerberos authentication, and Nginx load balancing algorithms like round robin and least connections to securely store and balance load of encrypted data across multiple cloud nodes. The methodology is implemented using tools like HP LoadRunner, Amazon Web Services, and Jelastic cloud platform. Performance is analyzed in terms of transaction time. The proposed technique aims to improve resource utilization, access control, data security, and efficiency in cloud environments.
Deep Dive on Elastic Load Balancing
This document provides an in-depth overview of Elastic Load Balancing (ELB) on AWS, covering topics like security, scalability, availability, and best practices. It discusses how ELB handles SSL/TLS encryption and security policies. It explains how ELB scales dynamically based on load and optimizes latency, throughput, and wait times. It also covers how ELB provides high availability across Availability Zones, performs health checks, and integrates with services like Route 53, CloudWatch, and Auto Scaling.
HTTP 2.0 – What do I need to know?
HTTP 1.1, which is the backbone of pretty much everything we’ve been using on the Internet, has been around for over 15 years. Recently the HTTP 2.0 specification has been completed and gradually application servers will start supporting it. It does make one wonder though: why change if something has been working for so long. In this talk we’ll examine the shortcomings of HTTP 1.1 and how 2.0 intends to address those. We’ll see what we need to know and how it’s going to affect our existing applications, and future ones.
A Public Cloud Based SOA Workflow for Machine Learning Based Recommendation A...
Over the past decade the field of Cloud Computing has been the focus of intensive research. In this paper we propose a framework that will simulate the architectural setup of a cloud environment and examine how it can leverage Apriori and Sequential Pattern based recommendation algorithms through R. Furthermore, we present a multi layered application encompassing its backend architecture, user interface built using the responsive web design technique and its development workflow. The proposed system was also exhaustively load tested using Apache JMeter to ensure its reliability at scale and the experimental results are presented.
What's New in NGINX Plus R7?
NGINX Plus R7 is full of new features to help you deliver your applications. HTTP/2 is now fully supported. A redesigned graphical dashboard helps you quickly identify problems. And improvements to the core of NGINX enhance performance, security, and reliability for all your applications. These changes bring tremendous capability to help make your applications faster and more secure than ever.
View full webinar on demand at https://www.nginx.com/resources/webinars/whats-new-in-nginx-plus-r7/
Oleksandr Khotemskyi - Serverless architecture and how to apply it in Automa...
This document discusses using serverless architecture for test automation. It begins with an overview of serverless computing and its benefits like instant scaling, low deployment complexity, and pay-per-use model. It then explains how serverless is well-suited for test automation as it allows tests to run independently, quickly, and be executed frequently for continuous testing. However, challenges like monitoring, debugging and vendor lock-in need to be addressed. Example test types like API, performance, UI and unit tests are discussed. Open-source tools for serverless test automation are also mentioned.
Олександр Хотемський:”Serverless архітектура та її застосування в автоматизац...
This document discusses using serverless architecture for test automation. It begins with an overview of serverless computing and its benefits like instant scaling, low deployment complexity, and pay-per-use model. It then explores how serverless is well-suited for test automation, noting that tests can run in isolation, achieve high parallelism for fast execution, and benefit from the stability of clean runtime environments. The document also acknowledges challenges like monitoring at scale, cold start delays, and vendor lock-in. It provides examples of implementing API, UI, unit, and load tests on serverless and recommends starting with a simple setup for API tests before progressing to more complex scenarios.
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Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
20240605 QFM017 Machine Intelligence Reading List May 2024
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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.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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.
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
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These topics will be covered
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Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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Neha Bajwa, Vice President of Product Marketing, Neo4j
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GraphRAG for Life Science to increase LLM accuracy
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Removing Uninteresting Bytes in Software Fuzzing
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.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
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• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
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• Q/A
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Climate Impact of Software Testing at Nordic Testing Days
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Web Server Load Balancing
- 1. Web Server Load Balancing By: Abdul-Lateef Haji-Ali, Yael Jari, Bashar Shehadeh, Mhd. Mamdouh Tarabishi Wael Tayara Supervised by: Dr. Ghassan Saba
- 2. Outline What is SLB Scope of Project SLB Strategies Gateway Based Strategy Server Choosing Algorithms Implementation & Demo Testing & Results Future Work
- 3. What is Server Load Balancing (SLB)? • SLB is a process and technology that distributes site traffic among several servers. • Transparent to the end user. • A single URL can have hundreds of servers
- 4. What is Server Load Balancing (SLB)?
- 5. Scope of Project A study of most well known strategies. A study of most well known scheduling algorithms. A working implementation of a single chosen strategy for HTTP. A brief analysis of the implementation and different algorithms.
- 6. SLB Strategies Geographic Load Balancing DNS Load Balancing Clustering Gateway based, redirection
- 7. Gateway Based Strategy Broad range of features ◦ Availability Scalability, Manageability, Security, QoS ◦ Compression, caching, and packing requests and responses Persistence using ◦ Cookies, source address, SSL, SIP Traffic redirection ◦ Transport layer ◦ Application Layer
- 8. Server Choosing Algorithms Scheduling Numerous, we chose 7 ◦ Random ◦ Round Robin ◦ Weighted Random ◦ Weighted Round Robin ◦ Least Connections ◦ Least CPU Usage ◦ Dynamic Random
- 9. Least CPU Load (under focus) Constant monitoring of the servers for their CPU load Pass the request to the one with the least CPU load Pros: Most correct scheduling decision, if updates are not too far from each other Cons: If updates are slow, it can cause congestion. Increased overhead
- 10. Implementation 4 Parts ◦ Core ◦ HTTP gateway implementation ◦ HTTP protocol support classes ◦ Other support classes Demo…
- 11. Testing Identical and non-identical requests Single server, no gateway Single server through gateway ◦ Overhead: 1.82% Two and three servers through gateway ◦ All algorithms
- 12. Results
- 13. Results (cont.) Mostly agrees with literature Least CPU Usage has least response time and greatest throughput
- 14. Future Work More algorithms More applications Caching Answer to: Is there a point where SLB doesn’t increase performance?
- 15. Questions?