Profit-aware distributed online scheduling for data-oriented tasks in cloud datacenters

Lu, Wei, Lu, Ping, Sun, Quanying, Yu, Shui and Zhu, Zuqing 2018, Profit-aware distributed online scheduling for data-oriented tasks in cloud datacenters, IEEE Access, vol. 6, pp. 15629-15642, doi: 10.1109/ACCESS.2018.2808481.

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Title Profit-aware distributed online scheduling for data-oriented tasks in cloud datacenters
Author(s) Lu, Wei
Lu, Ping
Sun, Quanying
Yu, ShuiORCID iD for Yu, Shui
Zhu, Zuqing
Journal name IEEE Access
Volume number 6
Start page 15629
End page 15642
Total pages 14
Publisher IEEE Access
Place of publication Piscataway, N.J.
Publication date 2018-02-21
ISSN 2169-3536
Keyword(s) Science & Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Datacenter networks
Lyapunov optimization
distributed online scheduling
data-transfer acceleration
Summary © 2018 IEEE. As there is an increasing trend to deploy geographically distributed (geo-distributed) cloud datacenters (DCs), the scheduling of data-oriented tasks in such cloud DC systems becomes an appealing research topic. Specifically, it is challenging to achieve the distributed online scheduling that can handle the tasks' acceptance, data-transfers, and processing jointly and efficiently. In this paper, by considering the store-and-forward and anycast schemes, we formulate an optimization problem to maximize the time-average profit from serving data-oriented tasks in a cloud DC system and then leverage the Lyapunov optimization techniques to propose an efficient scheduling algorithm, i.e., GlobalAny. We also extend the proposed algorithm by designing a data-transfer acceleration scheme to reduce the data-transfer latency. Extensive simulations verify that our algorithms can maximize the time-average profit in a distributed online manner. The results also indicate that GlobalAny and GlobalAnyExt (i.e., GlobalAny with data-transfer acceleration) outperform several existing algorithms in terms of both time-average profit and computation time.
Language eng
DOI 10.1109/ACCESS.2018.2808481
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, IEEE
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Document type: Journal Article
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