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Robust scheduling of scientific workflows with deadline and budget constraints in clouds
Citation
Poola, D and Garg, SK and Buyya, R and Yang, Y and Ramamohanarao, K, Robust scheduling of scientific workflows with deadline and budget constraints in clouds, Proceedings of the IEEE 28th International Conference on Advanced Information Networking and Applications (IEEE AINA 2014), 13-16 May 2014, Victoria, Canada, pp. 858-865. ISBN 9781479936298 (2014) [Refereed Conference Paper]
Copyright Statement
Copyright 2014 IEEE
DOI: doi:10.1109/AINA.2014.105
Abstract
Dynamic resource provisioning and the notion of seemingly unlimited resources are attracting
scientific workflows rapidly into Cloud computing. Existing works on workflow scheduling in the context of Clouds are either on deadline or cost optimization, ignoring the necessity for robustness. Robust scheduling that handles performance variations of Cloud resources
and failures in the environment is essential in the context of Clouds. In this paper, we present a robust scheduling algorithm with resource allocation policies that schedule workflow tasks on heterogeneous Cloud resources while trying to minimize the total elapsed time (makespan) and the cost. Our results show that the proposed resource allocation policies provide robust and fault-tolerant schedule while minimizing makespan. The results also show that with the increase in budget, our policies increase the robustness of the schedule.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | cloud, computing, workflow |
Research Division: | Information and Computing Sciences |
Research Group: | Distributed computing and systems software |
Research Field: | Distributed systems and algorithms |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS Author: | Garg, SK (Dr Saurabh Garg) |
ID Code: | 89686 |
Year Published: | 2014 |
Web of Science® Times Cited: | 82 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-03-11 |
Last Modified: | 2018-01-16 |
Downloads: | 9 View Download Statistics |
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