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Managing server energy and operational costs in hosting centers
TLDR
This paper presents a formalism to this problem, and proposes three new online solution strategies based on steady state queuing analysis, feedback control theory, and a hybrid mechanism borrowing ideas from these two. Expand
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Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms
TLDR
We identify a key shortcoming in existing virtual machine monitors (VMMs) that proves to be an obstacle in operating hosting platforms, such as Internet data centers, under conditions of high consolidation: CPU schedulers that are agnostic to the communication behavior of modern, multi-tier applications. Expand
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Xen and Co.: Communication-Aware CPU Management in Consolidated Xen-Based Hosting Platforms
TLDR
We identify two shortcomings in existing virtual machine monitors (VMMs) that prove to be obstacles in operating hosting platforms, such as Internet data centers, under conditions of such high consolidation. Expand
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Consolidating clients on back-end servers with co-location and frequency control
TLDR
In the Server-Based/Thin-Client Computing model, the computing power resides mainly at the back-end servers, with the clients serving as simple interface engines to the user. Expand
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Pricing-based strategies for autonomic control of web servers for time-varying request arrivals
TLDR
This paper considers a web service that receives requests from customers at various rates at different times. Expand
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Predicting Web Cache Behavior using Stochastic State-Space Models
TLDR
We develop a model called SMCP, based on the well-studied linear Gaussian state space model, to observe, characterize, and predict the hit rates at a Web cache. Expand
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Pricing and autonomic control of Web servers with time-varying request patterns
TLDR
The motivation for this paper stems from two important emerging trends: (i) the growth of commercial services on the Internet, and (ii) the need for deploying systems that can automatically tune themselves. Expand
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Pricing and autonomic control of Web servers with time-varying request patterns
TLDR
The motivation for this paper stems from two important emerging trends: (i) the growth of commercial services on the Internet, and (ii) the need for deploying systems that can automatically tune themselves. Expand
  • 1
  • PDF