Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/36939
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChan, W.-
dc.contributor.authorChin, F.-
dc.contributor.authorZhang, Y.-
dc.contributor.authorZhu, H.-
dc.contributor.authorShen, H.-
dc.contributor.authorWong, P.-
dc.date.issued2005-
dc.identifier.citationComputing and combinatorics : 11th annual international conference, COCOON 2005, Kunming, China, August 16-29, 2005 : proceedings / Lusheng Wang (ed.), pp. 318-328-
dc.identifier.isbn3540280618-
dc.identifier.isbn9783540280613-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/2440/36939-
dc.descriptionThe original publication is available at www.springerlink.com-
dc.description.abstractWe study the off-line broadcast scheduling problem to minimize total (or average) flow time. Assume the server has k pages and the requests arrive at n distinct times, we give the first algorithm to find the optimal schedule for the server with a single channel, in O(k3(n+k)k–1) time. For m-channel case, i.e., the server can broadcast m different pages at a time where m < k, we find the optimal schedule in O(nk–m) time when k and m are constants. In the single channel case, we also give a simple linear-time approximation algorithm to minimize average flow time, which achieves an additive (k–1)/2-approximation.-
dc.description.statementofresponsibilityWun-Tat Chan, Francis Y.L. Chin, Yong Zhang, Hong Zhu, Hong Shen and Prudence W.H. Wong-
dc.language.isoen-
dc.publisherSpringer-
dc.source.urihttp://www.springerlink.com/content/3mm1fk63f9ytnn7r/-
dc.titleOff-Line algorithms for minimizing total flow time in broadcast scheduling-
dc.typeConference paper-
dc.contributor.conferenceCOCOON 2005 (2005 : Kunming Shi, China)-
dc.identifier.doi10.1007/11533719_33-
dc.publisher.placeBerlin-
pubs.publication-statusPublished-
dc.identifier.orcidShen, H. [0000-0002-3663-6591] [0000-0003-0649-0648]-
Appears in Collections:Aurora harvest 6
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.