Title :
Task assignment with unknown duration
Author :
Harchol-Balter, Mor
Author_Institution :
Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We consider a distributed server system and ask which policy should be used for assigning tasks to hosts. In our server tasks are not preemptible. Also, the task´s service demand is not known a priori. We are particularly concerned with the case where the workload is heavy-tailed, as is characteristic of many empirically measured computer workloads. We analyze several natural task assignment policies and propose a new one TAGS (Task Assignment based on Guessing Size). The TAGS algorithm is counterintuitive in many respects, including load unbalancing, non-work-conserving and fairness. We find that under heavy-tailed workloads, TAGS can outperform all task assignment policies known to us by several orders of magnitude with respect to both mean response time and mean slowdown, provided the system load is not too high
Keywords :
client-server systems; resource allocation; software performance evaluation; TAGS algorithm; Task Assignment based on Guessing Size; computer workloads; distributed server system; fairness; heavy-tailed workload; load unbalancing; mean response time; mean slowdown; non-work conserving; service demand; unknown duration task assignment; Computer science; Costs; Counting circuits; Delay; Independent component analysis; Particle measurements; Switches; Tail; Technical Activities Guide -TAG;
Conference_Titel :
Distributed Computing Systems, 2000. Proceedings. 20th International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7695-0601-1
DOI :
10.1109/ICDCS.2000.840932