Search

Filter

  • Advanced Filters:

  • to
  • Specific Data Sources:

    All Edit

    Select All  |  Select None

Reset filters

RECAL - A NEW EFFICIENT ALGORITHM FOR THE EXACT ANALYSIS OF MULTIPLE-CHAIN CLOSED QUEUEING NETWORKS A.E. Conway and N.D. Georganas University of Ottawa Ottawa, Ontario Canada ABSTRACT RECAL, a Recursion by Chain Algorithm for computing the mean performance measures of product-form multiple-chain closed queueing networks, is presented. It is based on a new recursive expression which relates the normalization constant of a network with r closed routing chains to those of a set of networks having (r-l) chains. It relies on the artifice of breaking down each chain into constituent sub-chains that each have a population of one. The time and space requirements of the algorithm are shown to be polynomial in the number of chains. When the network contains many routing chains the more efficient proposed algorithm is substantially than the convolution or mean value analysis algorithms. The algorithm therefore extends the range of queueing networks which can be analyzed efficiently by exact means. A numerical example is given. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Association for Computing Machinery. To copy otherwise, or to republish, requires a fee and/or specific permission. 0 1985 ACM 0-89791-169-5/85/007/CQl4 $00.75

Page 1 of 1

Page 1 of 1

Toggle back to continuous viewing mode

/lp/association-for-computing-machinery/recal-a-new-efficient-algorithm-for-the-exact-analysis-of-multiple-ezxWxRvrK6
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%

Learn more

Free Article

Bookmark

RECAL—a new efficient algorithm for the exact analysis of multiple-chain closed queueing networks (abstract)

Conway, A. E.; Georganas, N. D.
ACM SIGMETRICS Performance Evaluation Review , Volume 13 (2)
Association for Computing MachineryAug 1, 1985

More Info

More Like This Article

View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct

Browse: Subject Areas | Journals | Publishers

Sign Up for a DeepDyve Account

Bookmark an Article

To bookmark an article, please log in first, or sign up for a DeepDyve account if you don't already have one.

OK

Subscribe to Journal Email Alerts

To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don't already have one.

OK

Thank you for renting with DeepDyve

Your PayPal account has been charged $2.99. You now have access to the full text of this article. A rental receipt has also been sent to your email address.

Your credit card has been charged $2.99. You now have access to the full text of this article. A rental receipt has also been sent to your email address.

OK

New! You can now keep track of new articles from ACM SIGMETRICS Performance Evaluation Review on your personalized homepage! Learn more

PDF Download — Not Available

Thanks for your interest in purchasing the PDF. Your request has been noted and we will work with our publisher partner to discuss enabling this feature.

In the meantime, you can get the PDF by visiting the publisher site.

Thank you for purchasing with DeepDyve

Your PayPal account has been charged $.

Your credit card has been charged $.

You can now download this article. A purchase receipt has also been sent to your email address.

Download This Article or I'm done with my download

Print Page — Not Available

Thanks for your interest in printing individual pages. Your request has been noted and we will work with our publisher partner to discuss enabling this feature.

In the meantime, you can get the PDF by visiting the publisher site.

Thank you for printing with DeepDyve

Your PayPal account has been charged $0.

Your credit card has been charged $0.

You can now print this article. A purchase receipt has also been sent to your email address.

Print the Selected Pages or I'm done with my printing

Please refresh to generate a new download link

Your article download link has expired. Please refresh this page to obtain a new download link and try again.

Follow a Journal

To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don't already have one.

OK