Abstract

Virtualization was invented more than thirty years ago to allow large expensive mainframes to be easily shared among different application environments. As hardware prices went down, the need for virtualization faded away. Virtualization at all levels (system, storage, and network) became important again as a way to improve system security, reliability and availability, reduce costs, and provide greater flexibility. Virtualization is being used to support server consolidation efforts. In that case, many virtual machines running different application environments share the same hardware resources. This paper shows how autonomic computing techniques can be used to dynamically allocate processing resources to various virtual machines as the workload varies. The goal of the autonomic controller is to optimize a utility function for the virtualized environment. The paper considers dynamic CPU priority allocation and the allocation of CPU shares to the various virtual machines. Results obtained through simulation show that the autonomic controller is capable of achieving its goal

Keywords:
Virtualization Computer science Full virtualization Virtual machine Application virtualization Operating system Cloud computing Workload Flexibility (engineering) Distributed computing Temporal isolation among virtual machines Storage virtualization Reliability (semiconductor) Embedded system

Metrics

121
Cited By
24.60
FWCI (Field Weighted Citation Impact)
23
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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