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Content Provider | IEEE Xplore Digital Library |
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Author | Yanggratoke, R. Wuhib, F. Stadler, R. |
Copyright Year | 2011 |
Description | Author affiliation: ACCESS Linnaeus Center, KTH Royal Institute of Technology (Yanggratoke, R.; Wuhib, F.; Stadler, R.) |
Abstract | We address the problem of resource allocation in a large-scale cloud environment, which we formalize as that of dynamically optimizing a cloud configuration for green computing objectives under CPU and memory constraints. We propose a generic gossip protocol for resource allocation, which can be instantiated for specific objectives. We develop an instantiation of this generic protocol which aims at minimizing power consumption through server consolidation, while satisfying a changing load pattern. This protocol, called GRMP-Q, provides an efficient heuristic solution that performs well in most cases — in special cases it is optimal. Under overload, the protocol gives a fair allocation of CPU resources to clients. Simulation results suggest that key performance metrics do not change with increasing system size, making the resource allocation process scalable to well above 100,000 servers. Generally, the effectiveness of the protocol in achieving its objective increases with increasing memory capacity in the servers. |
Starting Page | 1 |
Ending Page | 9 |
File Size | 635401 |
Page Count | 9 |
File Format | |
ISBN | 9781457715884 |
e-ISBN | 9783901882449 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-10-24 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | IFIP |
Subject Keyword | Server consolidation Cloud computing Protocols Power demand Resource allocation Green computing Servers Middleware Distributed management Optimization Power management Computer architecture Resource management Gossip protocols |
Content Type | Text |
Resource Type | Article |
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