A Configurable Energy Aware Resource Management Technique for Optimization of Performance and Energy Consumption on Clouds

被引：0

作者：

Gregory, Adam ^{[1
]}

Majumdar, Shikharesh ^{[1
]}

机构：

[1] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON, Canada

来源：

2016 8TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM 2016) | 2016年

关键词：

Resource management on clouds; MapReduce with deadlines; Constraint Programming; Energy management;

D O I：

10.1109/CloudCom.2016.38

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on devising a configurable resource management technique for use in clouds for processing batches of MapReduce jobs associated with Service Level Agreements (SLAs). The proposed technique permits cloud service providers to make resource management decisions which consider client quality of service requirements, system performance, and energy consumption which directly affects data center operation costs. This research models the resource management problem as an optimization problem using Constraint Programming (CP). A simulation-based performance analysis that demonstrates the effectiveness of the approach is provided.

引用

页码：184 / 192

页数：9

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