NDLI: Stratification driven placement of complex data: A framework for distributed data analytics

Content Provider	IEEE Xplore Digital Library
Author	Ye Wang Parthasarathy, S. Sadayappan, P.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. & Eng. Dept., Ohio State Univ., Columbus, OH, USA (Ye Wang; Parthasarathy, S.; Sadayappan, P.)
Abstract	With the increasing popularity of XML data stores, social networks and Web 2.0 and 3.0 applications, complex data formats, such as trees and graphs, are becoming ubiquitous. Managing and processing such large and complex data stores, on modern computational eco-systems, to realize actionable information efficiently, is an important challenge. A critical element at the heart of this challenge relates to the placement, storage and access of such tera- and peta- scale data. In this work we develop a novel distributed framework to ease the burden on the programmer and propose an agile and intelligent placement service layer as a flexible yet unified means to address this challenge. Central to our framework is the notion of stratification which seeks to initially group structurally (or semantically) similar entities into strata. Subsequently strata are partitioned within this ecosystem according to the needs of the application to maximize locality, balance load, or minimize data skew. Results on several real-world applications validate the efficacy and efficiency of our approach.
Sponsorship	IEEE Comput. Soc.
Starting Page	709
Ending Page	720
File Size	437178
Page Count	12
File Format	PDF
ISBN	9781467349093
ISSN	10636382
e-ISBN	9781467349109
e-ISBN	9781467349086
DOI	10.1109/ICDE.2013.6544868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-08
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms XML Sorting Distributed databases Social network services Communities
Content Type	Text
Resource Type	Article

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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
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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
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