DocumentCode :
688267
Title :
Energy-Aware Rolling-Horizon Scheduling for Real-Time Tasks in Virtualized Cloud Data Centers
Author :
Xiaomin Zhu ; Huangke Chen ; Yang, L.T. ; Shu Yin
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
13-15 Nov. 2013
Firstpage :
1119
Lastpage :
1126
Abstract :
Developing energy-aware Cloud data centers not only can reduce power electricity cost but also can improve system reliability. Existing scheduling algorithms developed for energy-aware Cloud data centers commonly lack the consideration of task level scheduling. To address this issue, we propose a novel rolling-horizon scheduling architecture for real-time task scheduling. Besides, a task energy consumption model is given in detail. Based on the novel scheduling architecture, we develop a novel energy-aware scheduling algorithm EARH for real-time, aperiodic tasks. The EARH employs a rolling horizon optimization policy and can be extended to integrate other scheduling algorithms. Again, we propose the resource scaling up and scaling down strategies to make a good tradeoff between task´s schedulability and energy saving. Extensive experiments are conducted to validate the superiority of our EARH by comparing it with three baselines. Experimental results show that EARH significantly improves the scheduling quality of others and it is suitable for real-time task scheduling in virtualized Cloud data centers.
Keywords :
cloud computing; computer centres; optimisation; power aware computing; scheduling; EARH; energy saving; energy-aware cloud data centers; energy-aware rolling-horizon scheduling algorithm; power electricity cost reduction; real-time task level scheduling; resource scaling up strategy; rolling horizon optimization policy; scaling down strategy; system reliability; task energy consumption model; virtualized cloud data centers; Clouds; Dynamic scheduling; Energy consumption; Optimization; Real-time systems; Scheduling algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
Conference_Location :
Zhangjiajie
Type :
conf
DOI :
10.1109/HPCC.and.EUC.2013.158
Filename :
6832040
Link To Document :
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