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An efficient job scheduling algorithm for mixed turnaround and deadline applications

dc.contributor.authorDas, K. Sundaren_US
dc.contributor.authorTeorey, Toby J.en_US
dc.date.accessioned2006-04-07T16:58:01Z
dc.date.available2006-04-07T16:58:01Z
dc.date.issued1978-11en_US
dc.identifier.citationDas, K. Sundar, Teorey, Toby J. (1978/11)."An efficient job scheduling algorithm for mixed turnaround and deadline applications." Information Sciences 16(2): 137-149. <http://hdl.handle.net/2027.42/22493>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V0C-48MYPRJ-B5/2/b178376b1dc4c8a6b392f8b2b11dc2f9en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22493
dc.description.abstractComputer job scheduling is often performed with little understanding of the formal properties of the jobs being scheduled. One reason for this is that optimal solutions for job scheduling on computers are difficult to obtain if the job stream has mixed objectives, i.e., it consists of some jobs whose turnaround time has to be minimized and others whose deadlines must be met. A practical algorithm for scheduling mixed job streams on monoprogrammed computers, with potential application to a multiprogramming environment, is presented. The algorithm takes into account variable cost rates for each job. Experimental results illustrate the efficiency of the algorithm in terms of both its proximity to optimal solutions and its low computational complexity.en_US
dc.format.extent731929 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAn efficient job scheduling algorithm for mixed turnaround and deadline applicationsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelInformation and Library Scienceen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationotherUniversity of Texas at San Antonio, San Antonio, Texas 78285, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22493/1/0000034.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0020-0255(78)90039-7en_US
dc.identifier.sourceInformation Sciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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