Paper Info
Title
Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control
Abstract
Cloud platforms can provide flexible and cost-effective environments for parallel applications. However, the resource over-commitment issues, i.e., cloud providers often provide much more executable virtual CPUs than available physical CPUs, still impede the synchronization operations of parallel applications, causing severe performance degradation. Existing methods optimize parallel applications ...
Year
DOI
Venue
2021
10.1109/TC.2020.2999619
IEEE Transactions on Computers
Keywords
DocType
Volume
Synchronization,Cloud computing,Degradation,Virtual machine monitors,Dynamic scheduling,Processor scheduling,Instruction sets
Journal
70
Issue
ISSN
Citations 
7
0018-9340
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Hao Fan172.17
Song Wu255158.06
Xinyu Zhao300.34
Zhenjiang Xie400.34
Sheng Di573755.88
Jiang Xiao6495.65
Chen Yu730225.39
Hai Jin86544644.63