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Cost-Aware Scheduling of Software Processes Execution in the Cloud
Newcastle University, UK.
Newcastle University, UK.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-6952-1053
2018 (Engelska)Ingår i: Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development - Volume 1, 2018, s. 203-212Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Using cloud computing to execute software processes brings several benefits to software development. In a previous work, we proposed a reference architecture, which treats software processes as workflows and uses cloud computing to execute them. Scheduling the execution in the cloud impacts the execution cost and the cloud resources utilization. Existing workflow scheduling algorithms target business and scientific (data-driven) workflows, but not software processes workflows. In this paper, we adapt three scheduling algorithms for our architecture and propose a fourth one; the Proportional Adaptive Task Schedule algorithm. We evaluate the algorithms in terms of their execution cost, makespan and cloud resource utilization. Our results show that our proposed algorithm saves between 19.74% and 45.78% of the execution cost and provides the best resource (virtual machine) utilization compared to the adapted algorithms while providing the second best makespan. 

Ort, förlag, år, upplaga, sidor
2018. s. 203-212
Nationell ämneskategori
Datorsystem
Identifikatorer
URN: urn:nbn:se:mdh:diva-38619DOI: 10.5220/0006607902030212Scopus ID: 2-s2.0-85052027409ISBN: 978-989-758-283-7 (tryckt)OAI: oai:DiVA.org:mdh-38619DiVA, id: diva2:1188105
Konferens
6th International Conference on Model-Driven Engineering and Software Development MODELSWARD-2018, 22 Jan 2018, Funchal, Madeira, Portugal
Projekt
AMASS - Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical SystemsTillgänglig från: 2018-03-06 Skapad: 2018-03-06 Senast uppdaterad: 2018-08-30Bibliografiskt granskad

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