NDLI: An Efficient Grouped Virtual Mapreduce Cluster

Content Provider	IEEE Xplore Digital Library
Author	Yang Yang Xiang Long Bo Jiang
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China (Yang Yang; Xiang Long; Bo Jiang)
Abstract	Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster which is deployed in VMs. Luckily, data locality, a very crucial issue affecting performance in a shared clusters environment, is used to ease this conflict and improve the execution time of applications. We present a framework of Grouped Virtual MapReduce Cluster(GVMC) which takes fully advantage of VM data locality to exhibit high performance of Virtual MapReduce Cluster(VMC). The introduction of local-master nodes in GVMC not only offloads the pressure of the master node, but also lowers the communication cost. We compare the organization of three different VMC, describe the architecture of our cluster framework and do the performance analysis. Our experiments demonstrate that the framework of GVMC achieves higher locality and reduces the execution time in both CPU-intensive applications and I/O-intensive applications. Compared to Original Virtual MapReduce Cluster(OVMC), the performance of GVMC improvement is up to 16.5% and 36.2% for CPU-intensive applications and I/O-intensive applications respectively.
Sponsorship	IEEE Comput. Soc.
Starting Page	613
Ending Page	620
File Size	1153914
Page Count	8
File Format	PDF
ISBN	9781467355506
ISSN	1550445X
e-ISBN	9780769549538
DOI	10.1109/AINA.2013.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-25
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Resource management Computational modeling Programming Virtual machining Virtualization Clustering algorithms Virtual Cluster cloud computing VMM Mapreduce Data Locality
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