Title :
Improving small job response time for opportunistic scheduling
Author :
Ghare, Gaurav D. ; Leutenegger, Scott T.
Author_Institution :
Dept. of Math. & Comput. Sci., Denver Univ., CO, USA
Abstract :
Opportunistic scheduling utilizes idle workstations to execute batch jobs. Other than ensuring that each batch user receives a fair allocation of service, no work addressing opportunistic scheduling of batch jobs has been done. The authors propose two simple scheduling policies to be used in conjunction with the Condor Up-Down scheduling algorithm. We show that an order of magnitude reduction in mean job slowdown can be achieved by rotating a user´s batch jobs within their queue. Furthermore, this improved slowdown can be achieved without a significant loss of throughput. The reduced slowdowns result in a more interactive nature of the system, thus increasing its appeal. Our proposed modifications to the algorithms would require very little effort to implement
Keywords :
batch processing (computers); interactive systems; resource allocation; scheduling; virtual machines; workstations; Condor Up-Down scheduling algorithm; batch jobs; batch user; fair service allocation; idle workstations; interactive system; mean job slowdown; opportunistic scheduling; order of magnitude reduction; scheduling policies; slowdown; small job response time; Computer networks; Computer science; Delay; Feedback; Mathematics; Processor scheduling; Round robin; Scheduling algorithm; Throughput; Workstations;
Conference_Titel :
Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2000. Proceedings. 8th International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-0728-X
DOI :
10.1109/MASCOT.2000.876584