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Robust scheduling of scientific workflows with deadline and budget constraints in clouds
conference contribution
posted on 2023-05-23, 08:29 authored by Poola, D, Saurabh GargSaurabh Garg, Buyya, R, Yang, Y, Ramamohanarao, KDynamic 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.
History
Publication title
Proceedings of the IEEE 28th International Conference on Advanced Information Networking and Applications (IEEE AINA 2014)Editors
L Barolli, KF Li, T Enokido, F Xhafa, M TakizawaPagination
858-865ISBN
9781479936298Department/School
School of Information and Communication TechnologyPublisher
IEEEPlace of publication
Los Alamitos, CaliforniaEvent title
28th IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA 2014)Event Venue
Victoria, CanadaDate of Event (Start Date)
2014-05-13Date of Event (End Date)
2014-05-16Rights statement
Copyright 2014 IEEERepository Status
- Restricted