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R. Kokku, P. Yalagandula, A. Venkataramani, M. Dahlin, A noninterfering deployable Web prefetching system, USENIX Symposium on Internet Technology and Systems, Seattle, Washington, March, 2003.

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TCP Nice: Self-tuning Network Support for Background.. - Venkataramani, Kokku.. (2002)   Self-citation (Kokku Venkataramani Dahlin)   (Correct)

....requests use separate TCP connections, our server directs prefetch requests to a different port than demand requests. The disadvantage of this approach is that it does not fit with the standard HTTP caching model. We discuss how to deploy such a protocol without modifying HTTP in a separate study [31]. We use Squid proxy traces from 9 regional proxies collected during January 2001 [51] We study network interference near the server by examining subsets of the trace corresponding to a popular groups of related servers cnn (e.g. cnn.com, www.cnn.com, cnnfn.com, etc. This study compares ....

....this capacity in a non interfering manner. Our case studies demonstrate that Nice can simplify application design by eliminating the need to hand tune parameters to balance utilization and interference. Inspired by the results in this paper, we have built a self tuning prefetching system [31] based on Nice that avoids interference at the server and in the network, and is deployable with simple modifications to a web server. One application of Nice is to support massive replication of data and services, where spare resources (e.g. bandwidth, disk space, and processor cycles) are ....

R. Kokku, P. Yalagandula, A. Venkataramani, and M. Dahlin. A non-interfering deployable web prefetching system. Technical Report TR-02-51, Computer Sciences, UT Austin, May 2002.


TCP Nice: A Mechanism for Background Transfers - Venkataramani, Kokku, Dahlin (2002)   (18 citations)  Self-citation (Kokku Venkataramani Dahlin)   (Correct)

....requests use separate TCP connections, our server directs prefetch requests to a different port than demand requests. The disadvantage of this approach is that it does not fit with the standard HTTP caching model. We discuss how to deploy such a protocol without modifying HTTP in a separate study [31]. We use Squid proxy traces from 9 regional proxies collected during January 2001 [51] We study network interference near the server by examining subsets of the trace corresponding to a popular groups of related servers cnn (e.g. cnn.com, www.cnn.com, cnnfn.com, etc. This study compares ....

....this capacity in a non interfering manner. Our case studies demonstrate that Nice can simplify application design by eliminating the need to hand tune parameters to balance utilization and interference. Inspired by the results in this paper, we have built a self tuning prefetching system [31] based on Nice that avoids interference at the server and in the network, and is deployable with simple modifications to a web server. One application of Nice is to support massive replication of data and services, where spare resources (e.g. bandwidth, disk space, and processor cycles) are ....

R. Kokku, P. Yalagandula, A. Venkataramani, and M. Dahlin. A non-interfering deployable web prefetching system. Technical Report TR-02-51, Computer Sciences, UT Austin, May 2002.


Coordinated data prefetching for web contents - Xin Chen Xiaodong   (Correct)

No context found.

R. Kokku, P. Yalagandula, A. Venkataramani, M. Dahlin, A noninterfering deployable Web prefetching system, USENIX Symposium on Internet Technology and Systems, Seattle, Washington, March, 2003.


Accurately Modeling Workload Interactions for - Deploying Prefetching In   (Correct)

No context found.

R. Kokku, P. Yalagandula, A. Venkataramani, M. Dahlin, "A non-interfering deployable Web prefetching system", USENIX Symposium on Internet Technology and Systems, Seattle, Washington, March 2003.


Predictive Prefetching on the Web and its Potential.. - Bouras, Konidaris, Al. (2004)   (2 citations)  (Correct)

No context found.

R. Kokku, P. Yalagandula, A. Venkataramani, and M. Dahlin, "A non-interfering deployable web prefetching system," Technical Report TR-02-51, Computer Sciences, Austin, UT, 2002.

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