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Executing Bag of Distributed Tasks on virtually unlimited Cloud resources

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dc.contributor.authorThai, Long Thanh
dc.contributor.authorVarghese, Blesson
dc.contributor.authorBarker, Adam David
dc.date.accessioned2015-08-06T12:10:05Z
dc.date.available2015-08-06T12:10:05Z
dc.date.issued2015-05-20
dc.identifier188793210
dc.identifier6eded2cb-ad05-4865-94c5-fd72b2c9faf0
dc.identifier84969758428
dc.identifier.citationThai , L T , Varghese , B & Barker , A D 2015 , Executing Bag of Distributed Tasks on virtually unlimited Cloud resources . in 5th International Conference on Cloud Computing and Services Science (CLOSER 2015) . SciTePress , pp. 373-380 , 5th International Conference on Cloud Computing and Services Science , Lisbon , Portugal , 20/05/15 . https://doi.org/10.5220/0005403303730380en
dc.identifier.citationconferenceen
dc.identifier.isbn978-989-758-104-5
dc.identifier.urihttps://hdl.handle.net/10023/7137
dc.descriptionThis research is supported by the EPSRC grant ‘Working Together: Constraint Programming and Cloud Computing’ (EP/K015745/1), a Royal Society Industry Fellowship, an Impact Acceleration Account Grant (IAA) and an Amazon Web Services (AWS) Education Research Grant.en
dc.description.abstractBag-of-Distributed-Tasks (BoDT) application is the collection of identical and independent tasks each of which requires a piece of input data located around the world. As a result, Cloud computing offers an effective way to execute BoT application as it not only consists of multiple geographically distributed data centres but also allows a user to pay for what is actually used. In this paper, BoDT on the Cloud using virtually unlimited cloud resources is investigated. To this end, a heuristic algorithm is proposed to find an execution plan that takes budget constraints into account. Compared with other approaches, for the same given budget, the proposed algorithm is able to reduce the overall execution time up to 50%.
dc.format.extent521773
dc.language.isoeng
dc.publisherSciTePress
dc.relation.ispartof5th International Conference on Cloud Computing and Services Science (CLOSER 2015)en
dc.subjectBag of tasksen
dc.subjectCloud computingen
dc.subjectSchedulingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNDASen
dc.subject.lccQA75en
dc.titleExecuting Bag of Distributed Tasks on virtually unlimited Cloud resourcesen
dc.typeConference itemen
dc.contributor.sponsorThe Royal Societyen
dc.contributor.sponsorEPSRCen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. University of St Andrewsen
dc.identifier.doi10.5220/0005403303730380
dc.identifier.urlhttp://www.scitepress.orgen
dc.identifier.urlhttp://closer.scitevents.org/Home.aspxen
dc.identifier.grantnumberen
dc.identifier.grantnumberEP/K015745/1en


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