A Bandwidth and Latency Based Replica Selection Mechanism for Data-Intensive Workflow Applications in the Multi-Cloud Environment

Xie, F; Yan, J; Shen, J

A Bandwidth and Latency Based Replica Selection Mechanism for Data-Intensive Workflow Applications in the Multi-Cloud Environment

Xie, F Yan, J Shen, J

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Publisher:: ASSOC COMPUTING MACHINERY
Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2020
Issue Date:: 2020-02-04

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Field	Value	Language
dc.contributor.author	Xie, F
dc.contributor.author	Yan, J
dc.contributor.author	Shen, J
dc.date	2020-02-03
dc.date.accessioned	2021-04-07T22:35:34Z
dc.date.available	2021-04-07T22:35:34Z
dc.date.issued	2020-02-04
dc.identifier.citation	ACM International Conference Proceeding Series, 2020
dc.identifier.isbn	9781450376976
dc.identifier.uri	http://hdl.handle.net/10453/147875
dc.description.abstract	Data-intensive workflow applications need effective data management strategies to handle large amount of data generated. To fit this goal, data replication is one of the most significant strategies to balance the data access load and improve the quality of services. The replica selection strategy can help users decide which replica is the most suitable to access. This paper proposes a bandwidth and latency based replica selection mechanism (namely, BLRS) to avoid potential network overloading issues and increase the number of concurrent-running instances in the multi-cloud environment. The simulation results show that our BLRS mechanism can significantly increase the number of concurrent-running workflow instances, in comparison with the least response time replica selection, on the traditional three-replica placement basis.
dc.language	en
dc.publisher	ASSOC COMPUTING MACHINERY
dc.relation.ispartof	ACM International Conference Proceeding Series
dc.relation.ispartof	Australasian Computer Science Week Multiconference (ACSW)
dc.relation.isbasedon	10.1145/3373017.3373030
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Bandwidth and Latency Based Replica Selection Mechanism for Data-Intensive Workflow Applications in the Multi-Cloud Environment
dc.type	Conference Proceeding
utslib.location.activity	Melbourne, AUSTRALIA
utslib.for	0805 Distributed Computing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-07T22:35:33Z
pubs.finish-date	2020-02-07
pubs.publication-status	Published
pubs.start-date	2020-02-03

Abstract:

Data-intensive workflow applications need effective data management strategies to handle large amount of data generated. To fit this goal, data replication is one of the most significant strategies to balance the data access load and improve the quality of services. The replica selection strategy can help users decide which replica is the most suitable to access. This paper proposes a bandwidth and latency based replica selection mechanism (namely, BLRS) to avoid potential network overloading issues and increase the number of concurrent-running instances in the multi-cloud environment. The simulation results show that our BLRS mechanism can significantly increase the number of concurrent-running workflow instances, in comparison with the least response time replica selection, on the traditional three-replica placement basis.

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http://hdl.handle.net/10453/147875