Title
MapReduce Scheduling for Deadline-Constrained Jobs in Heterogeneous Cloud Computing Systems.
Abstract
MapReduce is a software framework for processing data-intensive applications with a parallel manner in cloud computing systems. Some MapReduce jobs have the deadline requirements for their job execution. The existing deadline-constrained MapReduce scheduling schemes do not consider the following two problems: various node performance and dynamical task execution time. In this paper, we utilize the...
Year
DOI
Venue
2018
10.1109/TCC.2015.2474403
IEEE Transactions on Cloud Computing
Keywords
Field
DocType
Cloud computing,Optimal scheduling,Scheduling,Processor scheduling,Computational modeling,Bipartite graph,Resource management
Job shop scheduling,Fair-share scheduling,Computer science,Flow shop scheduling,Open-shop scheduling,Two-level scheduling,Real-time computing,Earliest deadline first scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Journal
Volume
Issue
ISSN
6
1
2168-7161
Citations 
PageRank 
References 
14
0.62
0
Authors
3
Name
Order
Citations
PageRank
Chien-Hung Chen1554.90
Jenn-Wei Lin213815.41
Sy-Yen Kuo32304245.46