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Automated cloud brokerage based upon continuous real-time benchmarking

Connor, Thomas Richard and Southgate, Joel 2015. Automated cloud brokerage based upon continuous real-time benchmarking. Presented at: 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing, Limassol, Cyprus, 7 - 0 December 2015.

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Abstract

Over the last few years there has been a massive proliferation of cloud providers, all using a set of different metrics to describe the service solutions that they offer. This results in a lack of comparability within and between services that precludes end users being able to select the most appropriate service for their needs, based upon their requirements. Here we outline an automated real-time benchmarking platform that can interact with cloud brokers to automatically select the most optimal cloud service provider for a given workload, based upon up to the minute benchmarking results generated, stored, collated and compared by the platform itself. This software package could save end users and enterprises significant amounts of time and money by ensuring that they always use the most appropriate VM flavor, on the most appropriate cloud service, every time they run a workload.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Biosciences
Date of First Compliant Deposit: 14 July 2017
Last Modified: 14 Jul 2017 10:07
URI: http://orca-mwe.cf.ac.uk/id/eprint/99451

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

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