NDLI: On the performance projectability of MapReduce

Content Provider	IEEE Xplore Digital Library
Author	Di Xie Hu, Y.C. Kompella, R.R.
Copyright Year	2012
Description	Author affiliation: Purdue University West Lafayette, USA (Di Xie; Hu, Y.C.; Kompella, R.R.)
Abstract	A key challenge faced by users of public clouds today is how to request for the right amount of resources in the production datacenter that satisfies a target performance for a given cloud application. An obvious approach is to develop a performance model for a class of applications such as MapReduce. However, several recent studies have shown that even for the class of well-studied MapReduce jobs, their running times can be seriously affected by numerous external factors ranging from dozen or so configuration parameters, to the physical machine characteristics (CPU, memory, disk, and network bandwidth), to implementation deficiencies such as Java, garbage collection. These factors make direct performance modeling extremely difficult. In this paper, we propose a more practical systematic methodology to solve this problem. Our approach develops a projection model, based on insights into performance bottlenecks of MapReduce jobs and their scaling properties, and parameterized with component running times based on profiling on small clusters with sampled inputs. Evaluation results show our projection model can predict job running times with 2.7% of accuracy when scaling to 32 nodes.
Starting Page	301
Ending Page	308
File Size	483751
Page Count	8
File Format	PDF
ISBN	9781467345118
e-ISBN	9781467345101
e-ISBN	9781467345095
DOI	10.1109/CloudCom.2012.6427517
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Instruction sets Conferences Distributed databases Bandwidth Production Mathematical model
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

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