NDLI: GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications

Content Provider	IEEE Xplore Digital Library
Author	Huan Liu Orban, D.
Copyright Year	2008
Description	Author affiliation: Accenture Technol. Labs., Bangalore (Huan Liu; Orban, D.)
Abstract	To be competitive, enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to meet the increasing demand. First, the growth in the amount of data far outpaces the computation power growth of a uniprocessor. The growing gap between the supply and demand of computation power forces Enterprises to parallelize their application code. Unfortunately, parallel programming is both time-consuming and error-prone. Second, the emerging Cloud Computing paradigm imposes constraints on the underlying infrastructure, which forces enterprises to rethink their application architecture. We propose the GridBatch system, which aims at solving large-scale data-intensive batch problems under the Cloud infrastructure constraints. GridBatch is a programming model and associated library that hides the complexity of parallel programming, yet it gives the users complete control on how data are partitioned and how computation is distributed so that applications can have the highest performance possible. Through a real client example, we show that GridBatch achieves high performance in Amazon's EC2 computing Cloud.
Starting Page	295
Ending Page	305
File Size	610371
Page Count	11
File Format	PDF
ISBN	9780769531564
DOI	10.1109/CCGRID.2008.30
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Large-scale systems Parallel programming Concurrent computing Grid computing High performance computing Supply and demand Computer architecture Libraries Distributed computing MapReduce Cloud Computing Amazon EC2 S3 GridBatch
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

GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications (2008)

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