Paper Info
Title
Towards Energy-Efficient Scheduling with Batch Processing for Instance-Intensive Cloud Workflows
Abstract
Instance-intensive workflow applications are widely used in the areas of electronic commerce, advanced manufacture, etc. However, existing studies normally do not consider the problem of reducing their energy consumption by utilizing the advantages of batch processing strategy and the characters of instance-intensive workflow applications. This paper presents an Energy-efficient Instance-intensive Cloud workflows scheduling method with Batch processing, named EICB. Technically, the method is promoted with strategies to merge several activity instances and balance resource utilization of physical machines (PMs) to improve energy efficiency for instance-intensive cloud workflows. The effectiveness and efficiency of the proposed method are validated by extensive experiments.
Year
DOI
Venue
2018
10.1109/BDCloud.2018.00092
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)
Keywords
Field
DocType
energy,instance-intensive,scheduling,cloud workflow,batch processing
Efficient energy use,Computer science,Scheduling (computing),Energy efficient scheduling,Batch processing,Merge (version control),Multimedia,Energy consumption,Workflow,Cloud computing,Distributed computing
Conference
ISSN
ISBN
Citations 
2158-9178
978-1-7281-1141-4
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhibin Wang100.34
Yiping Wen2258.59
Jinjun Chen313014.37
Buqing Cao420023.96
Feiran Wang522.08