A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds

Long Thai, Blesson Varghese, Adam Barker

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
188 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)1-11
JournalFuture Generation Computing Systems
Volume82
Early online date09 Dec 2017
DOIs
Publication statusPublished - May 2018

Fingerprint

Dive into the research topics of 'A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds'. Together they form a unique fingerprint.

Cite this