Title
Mitigating Service Variability in MapReduce Clusters via Task Cloning: A Competitive Analysis.
Abstract
Measurement traces from real-world production environment show that the execution time of tasks within a MapReduce job varies widely due to the variability in machine service capacity. This variability issue makes efficient job scheduling over large-scale MapReduce clusters extremely challenging. To tackle this problem, we adopt the task cloning approach to mitigate the effect of machine variabili...
Year
DOI
Venue
2017
10.1109/TPDS.2017.2689767
IEEE Transactions on Parallel and Distributed Systems
Keywords
Field
DocType
Cloning,Redundancy,Algorithm design and analysis,Scheduling,Electronic mail,Scheduling algorithms
Cluster (physics),Algorithm design,Scheduling (computing),Workload,Development environment,Computer science,Parallel computing,Real-time computing,Redundancy (engineering),Job scheduler,Distributed computing,Competitive analysis
Journal
Volume
Issue
ISSN
28
10
1045-9219
Citations 
PageRank 
References 
1
0.35
20
Authors
5
Name
Order
Citations
PageRank
Huanle Xu1368.10
Wing-cheong Lau263361.89
zhibo yang384.31
Gustavo de Veciana42274202.25
Hou Hanxu58314.46