NDLI: Power-effiicent resource allocation in MapReduce clusters

Content Provider	IEEE Xplore Digital Library
Author	Kaiqi Xiong Yuxiong He
Copyright Year	2013
Description	Author affiliation: Coll. of Comput. & Inf. Sci, Rochester Inst. of Technol., Rochester, NY, USA (Kaiqi Xiong) \|\| Microsoft Res., Redmond, WA, USA (Yuxiong He)
Abstract	MapReduce has recently evolved in data-intensive parallel computing. It is a programming model for processing large data sets. The implementation of MapReduce typically runs on a large scale of cluster computing systems consisting of thousands of commodity machines. Such cluster computing systems are called MapReduce clusters. The high power consumption of MapReduce clusters has become a major concern since hundreds of MapReduce programs are implemented and thousands of MapReduce jobs are executed in such clusters like Amazon's Elastic MapReduce Clusters every day. Power management becomes one of the most important problems in MapReduce clusters. Furthermore, the availability of MapReduce clusters plays an essential role in the delivery of quality of services (QoS) for customer services. In this paper, we investigate the problem of resource allocation for power management in MapReduce clusters. Specifically, we propose resource allocation approaches to minimizing the mean end-to-end delay of customer jobs or services under the constraints of the energy consumption and the availability of MapReduce clusters and to minimizing the energy consumption of MapReduce clusters under the availability of MapReduce clusters and the mean end-to-end delay of customer jobs or services. Numerical experiments demonstrate that the proposed approaches are applicable and efficient to solve these resource allocation problems for power management in MapReduce clusters.
Starting Page	603
Ending Page	608
File Size	196477
Page Count	6
File Format	PDF
ISBN	9781467352291
e-ISBN	9783901882500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-27
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	IFIP
Subject Keyword	Servers Availability Energy consumption Delays Resource management Clustering algorithms Quality of service
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Energy-efficient Resource Management for QoS-guaranteed Computing Clusters

Minimizing Remote Accesses in MapReduce Clusters

An energy efficient resource management method in virtualized cloud environment

A Novel Resource Allocation Heuristic for a Power Constrained Data Center

Virtual data center allocation with dynamic clustering in clouds

Comparison of predictive techniques in cluster-based network servers with resource allocation

A Novel Resource Allocation Algorithm for a Heterogeneous Data Center

Optimal Tradeoff between Energy Consumption and Response Time in Large-Scale MapReduce Clusters

Energy consumption evaluation for LTE scheduling algorithms

Power-effiicent resource allocation in MapReduce clusters

Similar Documents

Energy-efficient Resource Management for QoS-guaranteed Computing Clusters

Minimizing Remote Accesses in MapReduce Clusters

An energy efficient resource management method in virtualized cloud environment

A Novel Resource Allocation Heuristic for a Power Constrained Data Center

Virtual data center allocation with dynamic clustering in clouds

Comparison of predictive techniques in cluster-based network servers with resource allocation

A Novel Resource Allocation Algorithm for a Heterogeneous Data Center

Optimal Tradeoff between Energy Consumption and Response Time in Large-Scale MapReduce Clusters

Energy consumption evaluation for LTE scheduling algorithms

Power-effiicent resource allocation in MapReduce clusters