Title :
A Power-aware Job Scheduling Algorithm
Author :
Haitao Chen ; Yutong Lu ; QingHua Zhu
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A power-aware job scheduling algorithm is proposed to increase the energy efficiency of high performance computer by selectively hibernating some idle nodes during periods of low load. The proposed algorithm records the switching logs of nodes´ power states, dynamic setting idle nodes to sleeping status. Detailed experimentation using traces from the Parallel Workloads Archive indicates that the proposed algorithm can achieve effective energy savings with good control on the switching frequency of nodes´power states.
Keywords :
power aware computing; processor scheduling; Exascale system; HPC technology; dynamic setting idle nodes; effective energy savings; energy efficiency; high performance computer; parallel workloads archive; power efficiency ratio; power states; power-aware job scheduling algorithm; sleeping status; switching frequency; switching logs; Algorithm design and analysis; Computers; Energy consumption; Heuristic algorithms; Optimization; Switches; Switching frequency; job scheduling; power-aware; resource allocation; sleep; wakeup;
Conference_Titel :
Cloud and Service Computing (CSC), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4724-2
