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A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds

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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.
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Original languageEnglish
Pages (from-to)1-11
JournalFuture Generation Computer Systems
Volume82
Early online date9 Dec 2017
DOIs
Publication statusPublished - May 2018

    Research areas

  • Cloud computing, Bag-of-Task, Execution optimisation, Resource usage optimisation

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