Web multimedia files characterization

his thesis introduces multimedia workload characterization embedded in popular Web pages and serving by YouTube. The findings of the study are used to build a multimedia workload generator. The workload generator can be used in simulations that investigates methods in improving caching performance for serving multimedia files, reducing multimedia network traffic, increasing YouTube scalability, decreasing startup delay when playing audio/video files embedded in a Web page or serving by short video sharing services, and evaluating the performance of multimedia servers. In this research, first, an analysis on Web pages consisting of multimedia embedded objects is presented. Also, a characterization study of around 250,000 YouTube popular and regular videos is performed. Based on the analysis of popular Web pages and measurement of YouTube traffic, a workload generator is developed. The workload generator generates the files of popular Web pages and YouTube servers and simulates a user session when accessing a server.

Web multimedia files characterization

his thesis introduces multimedia workload characterization embedded in popular Web pages and serving by YouTube. The findings of the study are used to build a multimedia workload generator. The workload generator can be used in simulations that investigates methods in improving caching performance for serving multimedia files, reducing multimedia network traffic, increasing YouTube scalability, decreasing startup delay when playing audio/video files embedded in a Web page or serving by short video sharing services, and evaluating the performance of multimedia servers. In this research, first, an analysis on Web pages consisting of multimedia embedded objects is presented. Also, a characterization study of around 250,000 YouTube popular and regular videos is performed. Based on the analysis of popular Web pages and measurement of YouTube traffic, a workload generator is developed. The workload generator generates the files of popular Web pages and YouTube servers and simulates a user session when accessing a server.

Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark

Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deploying, experimenting or testing Web 2.0 applications. This study compares the scalability and performance of a social-events calendar application on two Infrastructure as a Service (IaaS) cloud services – Amazon EC2 and HP Cloud. This study captures and compares metrics on three different instance configurations for each cloud service such as the number of concurrent users (load), as well as response time and throughput (performance). Additionally, the total price of the three different instance configurations for each cloud service is calculated and compared. This comparison of the scalability, performance and price metrics provides developers and researchers with an insight into the scalability and performance characteristics of the three instance configurations for each cloud service, which simplifies the process of determining which cloud service and instance configuration to use for deploying their Web 2.0 applications. This study uses CloudStone – an open-source, three-tier web application benchmarking tool that simulates Web 2.0 application activities – as a realistic workload generator and to capture the intended metrics. The comparison of the collected metrics indicates that all of the tested Amazon EC2 instance configurations provide better scalability and lower latency at a lower cost than the respective HP Cloud instance configurations; however, the tested HP Cloud instance configurations provide a greater storage capacity than the Amazon EC2 instance configurations, which is an important consideration for data-intensive Web 2.0 applications.

Providing TPC-W with web user dynamic behavior

The evolution of the World Wide Web from hypermedia information repositories to web applications such as social networking, wikis or blogs has introduced a new paradigm where users are no longer passive web consumers. Instead, users have become active con- tributors to web applications, so introducing a high level of dynamism in their behavior. Moreover, this trend is even expected to rise in the incoming Web. As a consequence, there is a need to develop new software tools that consider user dynamism in an appropiate and accurate way when generating dynamic workload for evaluating the performance of the current and incoming web. This paper presents a new testbed with the ability of defining and generating web dy- namic workload for e-commerce. For this purpose, we integrated a dynamic workload generator (GUERNICA) with a widely used benchmark for e-commerce (TPC-W).