Files in this item
A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds
Item metadata
dc.contributor.author | Thai, Long | |
dc.contributor.author | Varghese, Blesson | |
dc.contributor.author | Barker, Adam | |
dc.date.accessioned | 2018-12-10T09:37:28Z | |
dc.date.available | 2018-12-10T09:37:28Z | |
dc.date.issued | 2018-05 | |
dc.identifier.citation | Thai , L , Varghese , B & Barker , A 2018 , ' A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds ' , Future Generation Computer Systems , vol. 82 , pp. 1-11 . https://doi.org/10.1016/j.future.2017.11.038 | en |
dc.identifier.issn | 0167-739X | |
dc.identifier.other | PURE: 251734619 | |
dc.identifier.other | PURE UUID: c1828d8d-febd-4bca-8077-d741b7ac0ec5 | |
dc.identifier.other | RIS: urn:5F08039F6AD8058A29FFB5D3AD8C2C43 | |
dc.identifier.other | Scopus: 85038116747 | |
dc.identifier.other | WOS: 000427342300001 | |
dc.identifier.uri | https://hdl.handle.net/10023/16651 | |
dc.description.abstract | Cloud computing has been widely adopted due to the flexibility in resource provisioning and on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically provisioned to meet the computational demands of users. However, from a user’s perspective, it is still challenging to utilise cloud resources efficiently. This is because an overwhelmingly wide variety of resource types with different prices and significant performance variations are available. This paper presents a survey and taxonomy of existing research in optimising the execution of Bag-of-Task applications on cloud resources. A BoT application consists of multiple independent tasks, each of which can be executed by a VM in any order; these applications are widely used by both the scientific communities and commercial organisations. The objectives of this survey are as follows: (i) to provide the reader with a concise understanding of existing research on optimising the execution of BoT applications on the cloud, (ii) to define a taxonomy that categorises current frameworks to compare and contrast them, and (iii) to present current trends and future research directions in the area. | |
dc.language.iso | eng | |
dc.relation.ispartof | Future Generation Computer Systems | en |
dc.rights | © 2017 Elsevier B.V. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.future.2017.11.038 | en |
dc.subject | Cloud computing | en |
dc.subject | Bag-of-Task | en |
dc.subject | Execution optimisation | en |
dc.subject | Resource usage optimisation | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | T-NDAS | en |
dc.subject.lcc | QA75 | en |
dc.title | A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds | en |
dc.type | Journal article | en |
dc.contributor.sponsor | EPSRC | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1016/j.future.2017.11.038 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2018-12-09 | |
dc.identifier.grantnumber | EP/R010528/1 | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.