DocumentCode
775628
Title
Capacity Estimation of Cyclic Queues
Author
Servi, L.D.
Author_Institution
GTE Laboratories, Inc., Waltham, MA, USA
Volume
33
Issue
3
fYear
1985
fDate
3/1/1985 12:00:00 AM
Firstpage
279
Lastpage
282
Abstract
In many data communication and telephone switching systems, one processor must perform more than one type of task. In some systems it is advantageous to place the different tasks in different queues and have the processor serve the queues in a cyclic manner. Moreover, the system design often imposes a (finite or infinite) limit on the number of entries that may be served per cycle from any given queue; this limit typically varies from queue to queue. This paper will derive the capacity estimation of such systems. We consider systems which, in addition to serving
queues cyclically, must execute maintenance (or other low-priority jobs) without severely disrupting the queues\´ performance. For two alternative methods of scheduling the maintenance, we compute steady state values of i) the average cycle time, ii) the average number of entries of each queue served per cycle, iii) the average time spent at each queue per cycle, iv) the average amount of elapsed time necessary to complete a given amount of maintenance execution real time, and v) if the arrival rate to queue
, is proportional to
, the number of customers in the system, i.e.,
, then we a) compute the value of
which saturates the system and b) predict which queue will first become saturated as
is increased towards this value.
queues cyclically, must execute maintenance (or other low-priority jobs) without severely disrupting the queues\´ performance. For two alternative methods of scheduling the maintenance, we compute steady state values of i) the average cycle time, ii) the average number of entries of each queue served per cycle, iii) the average time spent at each queue per cycle, iv) the average amount of elapsed time necessary to complete a given amount of maintenance execution real time, and v) if the arrival rate to queue
, is proportional to
, the number of customers in the system, i.e.,
, then we a) compute the value of
which saturates the system and b) predict which queue will first become saturated as
is increased towards this value.Keywords
Communication switching; Data communications; Queuing analysis; Switching, communication; Acoustic signal detection; Detectors; Estimation theory; Gaussian noise; Radar detection; Random processes; Random variables; Signal to noise ratio; Stochastic processes; White noise;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOM.1985.1096286
Filename
1096286
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