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A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters.
- Source :
-
Scientific Programming . 5/17/2016, p1-10. 10p. 1 Illustration. - Publication Year :
- 2016
-
Abstract
- Cloud computing provides on-demand computing and storage services with high performance and high scalability. However, the rising energy consumption of cloud data centers has become a prominent problem. In this paper, we first introduce an energy-aware framework for task scheduling in virtual clusters. The framework consists of a task resource requirements prediction module, an energy estimate module, and a scheduler with a task buffer. Secondly, based on this framework, we propose a virtual machine power efficiency-aware greedy scheduling algorithm (VPEGS). As a heuristic algorithm, VPEGS estimates task energy by considering factors including task resource demands, VM power efficiency, and server workload before scheduling tasks in a greedy manner. We simulated a heterogeneous VM cluster and conducted experiment to evaluate the effectiveness of VPEGS. Simulation results show that VPEGS effectively reduced total energy consumption by more than 20% without producing large scheduling overheads. With the similar heuristic ideology, it outperformed Min-Min and RASA with respect to energy saving by about 29% and 28%, respectively. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10589244
- Database :
- Academic Search Index
- Journal :
- Scientific Programming
- Publication Type :
- Academic Journal
- Accession number :
- 115391483
- Full Text :
- https://doi.org/10.1155/2016/7040276