Exploration of Dynamic Web Page Partitioning for Increased Web Page Delivery Performance

The increasing use of the Internet and demand for real-time information has increased the amount of dynamic content generated residing in more complex distributed environments. The performance of delivering these web pages has been improved through more traditional techniques such as caching and newer techniques such as pre-fetching. In this research, we explore the dynamic partitioning of web page content using concurrent AJAX requests to improve web page delivery performance for resource intensive synchronous web content. The focus is more on enterprise web applications that exist in an environment such that a page\u27s data and processing is not local to one web server, rather requests are made from the page to other systems such as database, web services, and legacy systems. From these types of environments, the dynamic partitioning method can make the most performance gains by allowing the web server to run requests for partitions of a page in parallel while other systems return requested data. This differentiates from traditional uses of AJAX where traditionally AJAX is used for a richer user experience making a web application appear to be a desktop application on the user\u27s machine. Often these AJAX requests are also initiated by a user action such as a mouse click, key press, or used to check the server periodically for updates. In this research we studied the performance of a manually partitioned page and built a dynamic parser to perform dynamic partitioning and analyzed the performance results of two types of applications, one where most processing is local and another where processing is dependent on other systems such as database, web services and legacy systems. The results presented show that there are definite performance gains in using a partitioning scheme in a web page to deliver the web page faster to the use

Exploration of Dynamic Web Page Partitioning for Increased Web Page Delivery Performance

The increasing use of the Internet and demand for real-time information has increased the amount of dynamic content generated residing in more complex distributed environments. The performance of delivering these web pages has been improved through more traditional techniques such as caching and newer techniques such as pre-fetching. In this research, we explore the dynamic partitioning of web page content using concurrent AJAX requests to improve web page delivery performance for resource intensive synchronous web content. The focus is more on enterprise web applications that exist in an environment such that a page\u27s data and processing is not local to one web server, rather requests are made from the page to other systems such as database, web services, and legacy systems. From these types of environments, the dynamic partitioning method can make the most performance gains by allowing the web server to run requests for partitions of a page in parallel while other systems return requested data. This differentiates from traditional uses of AJAX where traditionally AJAX is used for a richer user experience making a web application appear to be a desktop application on the user\u27s machine. Often these AJAX requests are also initiated by a user action such as a mouse click, key press, or used to check the server periodically for updates. In this research we studied the performance of a manually partitioned page and built a dynamic parser to perform dynamic partitioning and analyzed the performance results of two types of applications, one where most processing is local and another where processing is dependent on other systems such as database, web services and legacy systems. The results presented show that there are definite performance gains in using a partitioning scheme in a web page to deliver the web page faster to the use

ElasTraS: An Elastic Transactional Data Store in the Cloud

Over the last couple of years, "Cloud Computing" or "Elastic Computing" has emerged as a compelling and successful paradigm for internet scale computing. One of the major contributing factors to this success is the elasticity of resources. In spite of the elasticity provided by the infrastructure and the scalable design of the applications, the elephant (or the underlying database), which drives most of these web-based applications, is not very elastic and scalable, and hence limits scalability. In this paper, we propose ElasTraS which addresses this issue of scalability and elasticity of the data store in a cloud computing environment to leverage from the elastic nature of the underlying infrastructure, while providing scalable transactional data access. This paper aims at providing the design of a system in progress, highlighting the major design choices, analyzing the different guarantees provided by the system, and identifying several important challenges for the research community striving for computing in the cloud.Comment: 5 Pages, In Proc. of USENIX HotCloud 200

Design and Implementation of a Distributed Middleware for Parallel Execution of Legacy Enterprise Applications

A typical enterprise uses a local area network of computers to perform its business. During the off-working hours, the computational capacities of these networked computers are underused or unused. In order to utilize this computational capacity an application has to be recoded to exploit concurrency inherent in a computation which is clearly not possible for legacy applications without any source code. This thesis presents the design an implementation of a distributed middleware which can automatically execute a legacy application on multiple networked computers by parallelizing it. This middleware runs multiple copies of the binary executable code in parallel on different hosts in the network. It wraps up the binary executable code of the legacy application in order to capture the kernel level data access system calls and perform them distributively over multiple computers in a safe and conflict free manner. The middleware also incorporates a dynamic scheduling technique to execute the target application in minimum time by scavenging the available CPU cycles of the hosts in the network. This dynamic scheduling also supports the CPU availability of the hosts to change over time and properly reschedule the replicas performing the computation to minimize the execution time. A prototype implementation of this middleware has been developed as a proof of concept of the design. This implementation has been evaluated with a few typical case studies and the test results confirm that the middleware works as expected

Virtualization: an old concept in a new approach

Virtualization technology is transforming today’s IT community, offering new possi-bilities to improve the performance and efficiency of IT infrastructure by a dynamic mapping of the PC resources, enabling to run multiple applications and operating systems on a single physical system. Virtualization also offers high availability and error recovery solutions by encapsulating entire systems into single files that can be replicated and restored on any desti-nation machine. This paper brings new elements related to the concept of virtualization, presenting the princi-ples, the new architectures and the advantages of the virtualization. We make also a brief comparison between the PC’s functional structure before and after the virtualization. Finally, we present licensed software to create and run multiple virtual machines on a personal com-puter

Distributed simulation and the grid: Position statements

The Grid provides a new and unrivaled technology for large scale distributed simulation as it enables collaboration and the use of distributed computing resources. This panel paper presents the views of four researchers in the area of Distributed Simulation and the Grid. Together we try to identify the main research issues involved in applying Grid technology to distributed simulation and the key future challenges that need to be solved to achieve this goal. Such challenges include not only technical challenges, but also political ones such as management methodology for the Grid and the development of standards. The benefits of the Grid to end-user simulation modelers also are discussed