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CLOUDLET: towards mapreduce implementation on virtual machines

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High Performance Distributed Computing archive
Proceedings of the 18th ACM international symposium on High performance distributed computing table of contents

Garching, Germany

SESSION: Poster Session table of contents

Pages 65-66

Year of Publication: 2009

ISBN:978-1-60558-587-1

Authors

Shadi Ibrahim	Huazhong University of Science and Technology, Wuhan, China
Hai Jin	Huazhong University of Science and Technology, Wuhan, China
Bin Cheng	Huazhong University of Science and Technology, Wuhan, China
Haijun Cao	Huazhong University of Science and Technology, Wuhan, China
Song Wu	Huazhong University of Science and Technology, Wuhan, China
Li Qi	China Development Bank, Beijing, China

Sponsors

ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

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ABSTRACT

The existing MapReduce framework in virtualized environment suffers from poor performance, due to the heavy overhead of I/O virtualization, and management difficulty for storage and computation. To address the problems, we propose Cloudlet, a novel MapReduce framework on virtual machines. The aim of Cloudlet design is to overcome the overhead of VM while benefiting of the other features of VM (i.e. management and reliability issues).

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Hadoop: http://lucene.apache.org/hadoop. 2008.
	2	Alexa Web Information Service: http://aws.amazon.com/solutions/case-studies/alexa/. 2008.
	3	XenSource: http://www.xensource.com/. 2008.
	4	Jeffrey Dean , Sanjay Ghemawat, MapReduce: simplified data processing on large clusters, Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, p.10-10, December 06-08, 2004, San Francisco, CA
	5	M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, and I. Stoica. Improving mapreduce performance in heterogeneous environments. Proceedings of OSDI 2008.
	6	S. Ibrahim, H. Jin, and L. Lu. Experiences with MapReduce on VMs. Technical Report. Huazhong University of Science and Technology. December 2008.
	7	Wei Huang , Jiuxing Liu , Bulent Abali , Dhabaleswar K. Panda, A case for high performance computing with virtual machines, Proceedings of the 20th annual international conference on Supercomputing, June 28-July 01, 2006, Cairns, Queensland, Australia [doi>10.1145/1183401.1183421]
	8	Aravind Menon , Jose Renato Santos , Yoshio Turner , G. (John) Janakiraman , Willy Zwaenepoel, Diagnosing performance overheads in the xen virtual machine environment, Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments, June 11-12, 2005, Chicago, IL, USA [doi>10.1145/1064979.1064984]