@inproceedings{f58b68ece28949a1b8e95f4f8229c18d,
title = "Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers",
abstract = "The infrastructure resources in distributed green data centers (DGDCs) are shared by multiple heterogeneous applications to provide flexible services to global users in a high-performance and low-cost way. It is highly challenging to minimize the total cost of a DGDC provider in a market where bandwidth price of Internet service providers (ISPs), electricity price and the availability of renewable green energy all vary with geographic locations. Unlike existing studies, a Geographical Scheduling method of Multi-Application Tasks (GSMAT) that exploits spatial diversity in DGDCs is proposed to minimize the total cost of their provider by cost-effectively scheduling all arriving tasks of heterogeneous applications to meet tasks' delay bound constraints. In each time slot, the cost minimization problem for DGDCs is formulated as a constrained optimization one and solved by the proposed Simulated-annealing-based Bat Algorithm (SBA). Trace-driven experiments demonstrate that GSMAT achieves lower cost and higher throughput than two typical scheduling methods.",
keywords = "Green data centers, bat algorithm, cost minimization, distributed computing, hybrid meta-heuristic optimization, simulated annealing, task scheduling",
author = "Jing Bi and Haitao Yuan and Mengchu Zhou",
note = "Funding Information: This work was supported in part by the Fundamental Research Funds for the Central Universities (No. 2016RC030), the China Postdoctoral Science Foundation (No. 2017T100034 and 2016M600912) and the National Natural Science Foundation of China (No. 61703011). Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/SMC.2018.00537",
language = "English (US)",
series = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3171--3176",
booktitle = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",
address = "United States",
}