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Author Torres, Jordi ♦ Carrera, David ♦ Beltran, Vicenç ♦ Poggi, Nicolás ♦ Hogan, Kevin ♦ Berral, Josep Ll. ♦ Ayguadé, Eduard ♦ Moreno, Toni ♦ Guitart, Jordi
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Well-known Technique ♦ Energy Efficient Consolidation Strategy Go ♦ Global Strategy ♦ System Management Complexity ♦ Memory Compression ♦ Overall Value ♦ Illustrative Example ♦ Service Level ♦ Previous Work ♦ New Approach ♦ Joint Effort ♦ Consolidation Strategy ♦ High Level Energy Efficiency Goal ♦ Consolidated Data Center ♦ Active Node ♦ Energy Efficiency ♦ Important Improvement ♦ New Way ♦ Important Reduction ♦ Request Discrimination ♦ Complementary Technique ♦ Web Workload
Description Virtualization and consolidation are two complementary techniques widely adopted in a global strategy to reduce system management complexity. In this paper we show how two simple and well-known techniques can be combined to dramatically increase the energy efficiency of a virtualized and consolidated data center. This result is obtained by introducing a new approach to the consolidation strategy that allows an important reduction in the amount of active nodes required to process a web workload without degrading the offered service level. Furthermore, when the system eventually gets overloaded and no energy can be saved without loosing performance, we show how these techniques can still improve the overall value obtained from the workload. The two techniques are memory compression and request discrimination, and were separately studied and validated in a previous work to be now combined in a joint effort. Our results indicate that an important improvement can be achieved by deciding not only how resources are allocated, but also how they are used. Moreover, we believe that this serves as an illustrative example of a new way of management: tailoring the resources to meet high level energy efficiency goals.
Beyond Virtualization, International Conference on Autonomic Computing
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2008-01-01