Arun Iyengar - Technical Work

Dynamic Content Generation and Caching for the Web
Caching for Streaming Media, Middleware, Web
Web Performance
Load Balancing and Scheduling
Fault Tolerance and Replication
Security
Storage Allocation
Capacity Planning and Performance Modelling
Web Applications


Dynamic Content Generation and Caching for the Web


Dynamic Web content can consume orders of magnitude more CPU time to serve than static content. Generating dynamic content is often the performance bottleneck for Web sites, even if only a fraction of the content is generated dynamically. The key challenge is to serve dynamic content efficiently while providing current and consistent information.

The following papers describe techniques which we have developed for efficiently publishing dynamic content. Several of these techniques can be applied to changing content in many different forms and are not restricted to the Web. The ACM Transactions on Internet Technology and SC papers describe some of our experiences when we deployed our techniques commercially. The ability to cache dynamic content can greatly improve performance. Many systems do not allow dynamic content to be cached because of the problem of maintaining consistency. The following papers describe techniques we have developed for consistently caching dynamic data. The IEEE/ACM Transactions on Networking and USITS papers describe our experiences caching dynamic data for commercial Web sites.

Caching for Streaming Media, Middleware, Web


Caching is extremely important for improving the performance of distributed systems and can be deployed at multiple places. The following papers describe work that we have done developing caches applicable to a broad range of distributed applications and not necessarily limited to the Web. The caching systems described in the Computer Networks, Middleware, and IPCCC papers have been deployed commercially.

Web Performance


The following papers provide a general overview of Web performance.

Load Balancing and Scheduling


Most of my work in load balancing and scheduling has been for client-server systems handling high request rates. The techniques described in the Computer Networks and SC papers have been commercially deployed.

Fault Tolerance and Replication



Security



Storage Allocation


I am interested in storage allocation for both main memory and disk. A major theme of my work in this area has been storage allocators which adapt themselves to request size distributions to optimize performance and minimize fragmentation. The first paper describes a disk storage allocation system which outperforms both file systems and databases for the workloads we used. This disk storage allocation system has been deployed commercially. The second paper presents main memory storage allocation algorithms which are particularly well suited for parallel computer systems.

Capacity Planning and Performance Modelling


I am also interested in capacity planning and performance modelling for both scientific and commercial workloads. I have developed improved techniques for predicting customer workloads in the future from past behavior. This allows customers to estimate how much capacity will be required in the future. It also helps schedule tasks to optimize utilization of system resources and efficiently make use of spare CPU cycles in grid environments. Several of the techniques described in the papers in this section have been successfully used commercially.

Web Applications



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  • ACM Papers - Copyright © by Association for Computing Machinery, Inc. Permission to make digital or hard copies of part of all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage. To copy otherwise, to republish, to post of servers, or to redistribute to lists, requires prior specific permission and/or a fee.
  • IEEE Papers - Copyright © by IEEE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit. To copy otherwise, to republish, to post of servers, or to redistribute to lists, requires prior specific permission and/or a fee.
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