UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRW006043


Registration ID:
195086

Page Number

202-206

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Title

Analysis of Earliest Deadline First Scheduler in Hadoop

Abstract

The MapReduce applications used for processing petabytes of data across the enterprise. Controlling the allocation of resources in shared MapReduce environments is a key challenge. Many users require job completion time guarantees. There is an increasing number of MapReduce applications associated with live business intelligence that require completion time guarantees (SLOs). There is a lack of performance models and workload analysis tools for automated performance management of such MapReduce jobs. None of the existing Hadoop schedulers support completion time guarantees(SLOs). A key challenge in shared MapReduce clusters is the ability to automatically tailor and control resource allocations to different applications for achieving their performance SLOs. We implemented a novel SLO-based scheduler in Hadoop by making use of ARIA framework, that determines job ordering and the amount of resources to allocate for meeting the job deadlines. The new scheduler effectively meets the jobs' SLOs until the job demands exceed the cluster resources. This paper is all about EDF Scheduler Design , EDF Scheduling Algorithm, Algorithmic Complexity of EDF Scheduling Scheme as well as SWOT analysis of EDF Scheduler.

Key Words

Hadoop, MapReduce, Resource Allocation, SLOs, Scheduling

Cite This Article

"Analysis of Earliest Deadline First Scheduler in Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.202-206, January-2019, Available :http://www.jetir.org/papers/JETIRW006043.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Earliest Deadline First Scheduler in Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp202-206, January-2019, Available at : http://www.jetir.org/papers/JETIRW006043.pdf

Publication Details

Published Paper ID: JETIRW006043
Registration ID: 195086
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 202-206
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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