首页 | 本学科首页   官方微博 | 高级检索  
     


Energy-aware task migration for multiprocessor real-time systems
Affiliation:1. Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan;2. Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan;3. College of Sciences and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan;1. Lero, Performance Engineering Lab, School of Computer Science and Informatics, University College Dublin, Dublin, Ireland;2. Insight Centre for Data Analytics, University College Cork, Cork, Ireland;1. University of Amsterdam, Institute for Informatics, Amsterdam, The Netherlands;2. Department of Computer Science, AGH University of Science and Technology, Krakow, Poland;1. 300A Nguyen Tat Thanh street, Ward 13, District 4, Ho Chi Minh City, Viet Nam;2. Tierney Building, University of Limerick, Ireland
Abstract:A task migration method is proposed for energy savings in multiprocessor real-time systems. The method is based on the portioned scheduling technique which classifies each task as a fixed task or a migratable task. The basic task migration problem with specific parameters is formulated as a linear programming problem to minimize average power. Then, the method is extended to more general case with a complete migration algorithm. Moreover, a scheduling algorithm is proposed for migratable tasks. Simulation results on two processor models demonstrated significant energy savings over existing methods.
Keywords:Real-time systems  Energy optimization  Multiprocessor  Task migration  Dynamic voltage scaling
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号