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Multi-Objective Game Theoretic Scheduling of Bag-of-Tasks Workflows on Hybrid Clouds

journal contribution
posted on 2023-10-02, 10:16 authored by Rubing Duan, Radu Prodan, Xiaorong LiXiaorong Li

Scheduling multiple large-scale parallel workflow applications on heterogeneous computing systems like hybrid clouds is a fundamental NP-complete problem that is critical to meeting various types of QoS (Quality of Service) requirements. This paper addresses the scheduling problem of large-scale applications inspired from real-world, characterized by a huge number of homogeneous and concurrent bags-of-tasks that are the main sources of bottlenecks but open great potential for optimization. The scheduling problem is formulated as a new sequential cooperative game and propose a communication and storage-aware multi-objective algorithm that optimizes two user objectives (execution time and economic cost) while fulfilling two constraints (network bandwidth and storage requirements). We present comprehensive experiments using both simulation and real-world applications that demonstrate the efficiency and effectiveness of our approach in terms of algorithm complexity, makespan, cost, system-level efficiency, fairness, and other aspects compared with other related algorithms.

History

Journal/Conference/Book title

IEEE Transactions on Cloud Computing

Publication date

2014-01-28

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