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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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          Most cited references 36

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          A Performance Study on the VM Startup Time in the Cloud

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            Inter-Cloud architectures and application brokering: taxonomy and survey

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              Why the Monte Carlo method is so important today

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                Author and article information

                Journal
                24 November 2017
                1711.08973

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Accepted to Future Generation Computer Systems, 23 November 2017
                cs.DC

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