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Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds

Haitao Yuan MengChu Zhou Qing Liu Abdullah Abusorrah

自动化学报（英文版）2020，Vol.7Issue(5)：1380-1393,14.

自动化学报（英文版）2020，Vol.7Issue(5)：1380-1393,14.DOI:10.1109/JAS.2020.1003177

Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds

Haitao Yuan ¹MengChu Zhou ¹Qing Liu ¹Abdullah Abusorrah²

作者信息

1. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
2. Department of Electrical and Computer Engineering, Faculty of Engineering, and the Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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摘要

关键词

Bees algorithm/data centers/distributed green cloud (DGC)/energy optimization/intelligent optimization/simulated annealing/task scheduling/machine learning

Key words

Bees algorithm/data centers/distributed green cloud (DGC)/energy optimization/intelligent optimization/simulated annealing/task scheduling/machine learning

引用本文复制引用

Haitao Yuan,MengChu Zhou,Qing Liu,Abdullah Abusorrah..Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds[J].自动化学报（英文版）,2020,7(5):1380-1393,14.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61802015, 61703011), the Major Science and Technology Program for Water Pollution Control and Treatment of China (2018ZX07111005), the National Defense Pre-Research Foundation of China (41401020401, 41401050102) and the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah (D-422-135-1441). （61802015, 61703011）

自动化学报（英文版）

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