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A Novel Throughput Based Temporal Violation Handling Strategy for Instance-Intensive Cloud Business Workflows

conference contribution
posted on 2020-01-01, 00:00 authored by F Wang, Xiao LiuXiao Liu, W Zhang, C Zhang
© Springer Nature Singapore Pte Ltd 2020. Temporal violations take place during the batch-mode execution of instance-intensive business workflows running in the cloud environments which may significantly affect the QoS (Quality of Service) of cloud workflow system. However, currently most research in the area of workflow temporal QoS focuses on single scientific workflow rather than business workflow with a batch of parallel workflow instances. Therefore, how to handle temporal violations of instance-intensive cloud business workflows is a new challenge. To address such a problem, in this paper, we propose a novel throughput based temporal violation handling strategy. Specifically, firstly we present a definition of throughput based temporal violation handling point to determine where temporal violation handling should be conducted, and secondly we design a new method for adding necessary cloud computing resources for recovering detected temporal violations. Experimental results show that our temporal violation handling strategy can effectively handle temporal violations in cloud business workflow and thus guarantee satisfactory on-time completion rate.

History

Volume

1179

Pagination

698-708

Location

Ningbo, China

Start date

2019-05-15

End date

2019-05-20

ISSN

1865-0929

eISSN

1865-0937

ISBN-13

9789811528095

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

He J, Yu PS, Shi Y, Li X, Xie Z, Huang G, Cao J, Xiao F

Title of proceedings

ICDS 2019 : Data Science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers

Event

Data Science. Conference (2019 : Ningbo, China)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Communications in Computer and Information Science

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