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On Network-Aware Clustering of Web Clients

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TLDR
Clusters---a grouping of clients that are close together topologically and likely to be under common administrative control are introduced, using a ``network-aware" method, based on information available from BGP routing table snapshots.
Abstract
Being able to identify the groups of clients that are responsible for a significant portion of a Web site's requests can be helpful to both the Web site and the clients. In a Web application, it is beneficial to move content closer to groups of clients that are responsible for large subsets of requests to an origin server. We introduce clusters---a grouping of clients that are close together topologically and likely to be under common administrative control. We identify clusters using a ``network-aware" method, based on information available from BGP routing table snapshots.

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References
More filters
Journal ArticleDOI

Community detection in graphs

TL;DR: A thorough exposition of community structure, or clustering, is attempted, from the definition of the main elements of the problem, to the presentation of most methods developed, with a special focus on techniques designed by statistical physicists.
Proceedings ArticleDOI

Web caching and Zipf-like distributions: evidence and implications

TL;DR: This paper investigates the page request distribution seen by Web proxy caches using traces from a variety of sources and considers a simple model where the Web accesses are independent and the reference probability of the documents follows a Zipf-like distribution, suggesting that the various observed properties of hit-ratios and temporal locality are indeed inherent to Web accesse observed by proxies.
Proceedings ArticleDOI

Distributing streaming media content using cooperative networking

TL;DR: This work considers the problem that arises when the server is overwhelmed by the volume of requests from its clients, and proposes Cooperative Networking (CoopNet), where clients cooperate to distribute content, thereby alleviating the load on the server.
Proceedings ArticleDOI

On the placement of Web server replicas

TL;DR: This work develops several placement algorithms that use workload information, such as client latency and request rates, to make informed placement decisions, and evaluates the placement algorithms using both synthetic and real network topologies, as well as Web server traces.
Proceedings ArticleDOI

Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites

TL;DR: An enhancement to CDNs is proposed that offers better protection to Web sites against flash events and trace-driven simulations are used to study the effect of the enhancement on CDNs and Web sites.