DocumentCode
3550896
Title
Average rate in a M/M/1 processor-sharing queue
Author
Chen, Na ; Jordan, Scott
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Irvine, CA, USA
fYear
2005
fDate
8-10 June 2005
Firstpage
2359
Abstract
We investigate the average rate per job in an open M/M/1 processor-sharing queue. We introduce three definitions of average rate as seen by the system and by each job, and present expressions for each in terms of the system rate and load. We compare the three measures and prove that they are strictly ordered over all loads. We next consider the system rate required to achieve a minimum average rate per job, and prove that it is increasing and convex. Finally, we consider the system rate required to achieve a minimum tail probability on the average rate per job, and present expressions illustrating when the system rate is constrained by the required tail probability.
Keywords
data communication; processor scheduling; queueing theory; M/M/1 processor-sharing queue; minimum average rate per job; minimum tail probability; Context-aware services; Delay; Laplace equations; Operations research; Perturbation methods; Refining; Steady-state; Tail; Time measurement; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2005. Proceedings of the 2005
ISSN
0743-1619
Print_ISBN
0-7803-9098-9
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2005.1470319
Filename
1470319
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