A NOVEL APPROACH FOR MAP REDUCES USING DYNAMIC JOB ORDERING AND SLOT CONFIGURATIONS
RAVI SANKAR KUMAR B
, B.B.K PRASAD , Dr. K V SAMBASIVARAO
A MapReduce workload generally contains a set of jobs, each of which consists of multiple map tasks followed by multiple reduce tasks. Due to 1) that map tasks can only run in map slots and reduce tasks can only run in reduce slots, and 2) the general execution constraints that map tasks are executed before reduce tasks, different job execution orders and map/reduce slot configurations for a MapReduce workload have significantly different performance and system utilization. This paper proposes two classes of algorithms to minimize the makespan and the total completion time for an offline MapReduce workload. Our first class of algorithms focuses on the job ordering optimization for a MapReduce workload under a given map/reduce slot configuration. In contrast, our second class of algorithms considers the scenario that we can perform optimization for map/reduce slot configuration for a MapReduce workload. We perform simulations as well as experiments on Amazon EC2 and show that our proposed algorithms produce results that are up to 15 _ 80 percent better than currently unoptimized Hadoop, leading to significant reductions in running time in practice.
"A NOVEL APPROACH FOR MAP REDUCES USING DYNAMIC JOB ORDERING AND SLOT CONFIGURATIONS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 8, page no.150 - 153, August-2018, Available :https://ijsdr.org/papers/IJSDR1808024.pdf
Volume 3
Issue 8,
August-2018
Pages : 150 - 153
Paper Reg. ID: IJSDR_180588
Published Paper Id: IJSDR1808024
Downloads: 000347172
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
