High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters

@article{Ranjan2008HighPerformanceRA,
  title={High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters},
  author={Supranamaya Ranjan and Edward W. Knightly},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2008},
  volume={19},
  pages={1186-1200}
}
With increasing richness in features such as personalization of content, Web applications are becoming increasingly complex and hence compute intensive. Traditional approaches for improving performance of static content Web sites have been based on the assumption that static content such as images are network intensive. However, these methods are not applicable to the dynamic content applications which are more compute intensive than static content. This paper proposes a suite of algorithms… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 35 references

Estimating Total Power Consumption by Servers in the US and the World

J. G. Koomey
Technical Report TR-02-390, Lawrence Berkeley Nat’l Laboratory, 2007. • 2007
View 1 Excerpt

High Performance DDoS-Resilient Web Cluster Architecture

S. Ranjan
PhD dissertation, Rice Univ., 2005. • 2005
View 2 Excerpts

Resource Allocation for Autonomic Data Centers using Analytic Performance Models

Second International Conference on Autonomic Computing (ICAC'05) • 2005
View 1 Excerpt

Assessing the robustness of self-managing computer systems under highly variable workloads

International Conference on Autonomic Computing, 2004. Proceedings. • 2004
View 1 Excerpt

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