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Budget-aware performance optimization of workows in multiple data center clouds

Abstract : Users pay to use resources in cloud systems which makes them more demanding on performance and costs. Optimizing the response time of the applications and meeting user's budget needs are therefore critical requirements when scheduling applications. The approach presented in this work is a scheduling based-HEFT algorithm, which aims to optimize the makespan of tasks workow that is constrained by the budget. For this, we propose a new budget distribution strategy named Estimated task budget that we integrate in our budget-aware HEFT algorithm. We use a multiple datacenters cloud as a real platform model, where data transfer costs are considered. The results obtained by our algorithm relative to recent work, show an improvement of makespan in the case of a restricted budget, without exceeding the given budget.
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Contributor : Samia Bouzefrane <>
Submitted on : Tuesday, January 26, 2021 - 6:37:03 PM
Last modification on : Thursday, February 11, 2021 - 3:12:21 AM


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  • HAL Id : hal-03122074, version 1



Karima Oukfif, Fares Battou, Samia Bouzefrane. Budget-aware performance optimization of workows in multiple data center clouds. The 6th International Conference on Mobile, Secure and Programmable Networking, Oct 2020, Paris, France. pp.144-160. ⟨hal-03122074⟩



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