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Algorithms 2018,11, 76 AlthoughHEFT iswell-known, the studyofdifferentpossibilities for computing rankvalues in a heterogeneous environment is limited. In some cases, the use of themean computation and communicationas therankvalue in thegraphmaynotproduceagoodschedule [26]. In thispaper,weconsider twomethodsofcalculatingtherank: bestandworst. Thebestversion assumesthat tasksareallocatedto thesameDSP.Hence,nodata transmission isneeded.Alternatively, theworstversionassumesthattasksareallocatedtotheDSPfromdifferentnodes,sodatatransmission ismaximal. Todetermine thecriticalpath,weneed toknowtheexecution timeofeach taskof the graphandthedata transfer time,consideringeverycombinationofDSPs,where the twogiventasks maybeexecutedtaking intoaccount thedata transfer ratebetweenthe twoconnectednodes. Tasks labelingprioritizesworkflowtasks. Labelsarenotchangednorrecomputedoncompletion ofpredecessor tasks. Thisalsodistinguishesourmodel frompreviousresearch(see, for instance [22]). Tasklabelsareusedtoidentifypropertiesofagivenworkflow.Wedistinguishfourlabelingapproaches: BestDownwardRank(BDR),WorstDownwardRank(WDR),BestUpwardRank(BUR),andWorst UpwardRank(WUR). BDRestimates the lengthof thepathfromconsideredtasktoarootpassingasetof immediate predecessors in aworkflowwithout communication costs. WDRestimates the lengthof thepath fromconsidered task to a rootpassing a set of immediatepredecessors in aworkflowwithworst communications. The descending order of BDR and WDR supports scheduling tasks by the depth-firstapproach. BURestimates the lengthof thepath fromtheconsidered task toa terminal start taskpassing asetof the immediatesuccessors inaworkflowwithoutcommunicationcosts. Table3.Taskallocationstrategies. Description Rand Allocates taskTk toaDSPwith thenumberrandomlygeneratedfromauniformdistribution in therange[1,m] BC(bestcore) Allocates taskTk to theDSPthatcanstart the taskasearlyaspossibleconsideringcommunicationdelayofall inputdata PESS(pessimistic) Allocates taskTk fromtheordered list to theDSPaccordingtoWorstDownwardRank(WDR). OPTI (optimistic) Allocates taskTk fromtheordered list to theDSPaccordingtoBestDownwardRank(BDR). PHEFT(pessimisticHEFT) Allocates taskTk fromtheordered list to theDSPaccordingtoWorstUpwardRank(WUR) OHEFT(optimisticHEFT) Allocates taskTk fromtheordered list to theDSPaccordingtoBestUpwardRank(BUR) WURestimates the lengthof thepathfromtheconsideredtasktoaterminal taskpassingaset of immediatesuccessors inaworkflowwiththeworstcommunicationcosts. Thedescendingorder ofBURandWURsupports scheduling taskson thecriticalpathfirst. Theupwardrankrepresents theexpecteddistanceofanytaskto theendof thecomputation. Thedownwardrankrepresents the expecteddistanceofanytaskfromthestartof thecomputation. 5. ExperimentalSetup Thissectionpresents theexperimental setup, includingworkloadandscenarios,anddescribes themethodologyusedfor theanalysis. 185
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Algorithms for Scheduling Problems
Titel
Algorithms for Scheduling Problems
Autoren
Frank Werner
Larysa Burtseva
Yuri Sotskov
Herausgeber
MDPI
Ort
Basel
Datum
2018
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-120-7
Abmessungen
17.0 x 24.4 cm
Seiten
212
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorien
Informatik
Technik
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Algorithms for Scheduling Problems