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Simplified cloud instance selection

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Boonprasop_2019_Simplified_cloud_CloudCross18_AAM.pdf (199.1Kb)
Date
23/04/2018
Author
Boonprasop, Chalee
Barker, Adam David
Keywords
Cloud computing
Cloud broker
QA75 Electronic computers. Computer science
T Technology
3rd-NDAS
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Abstract
Cloud computing delivers computational services to anyone over the internet. The cloud providers offer these services through a simplified billing model where customers can rent services based on the types of computing power they require. However, given the vast choice, it is complicated for a user to select the optimal instance types for a given workload or application. In this paper, we propose a user-friendly cloud instance recommendation system, which given a set of weighted coefficients representing the relevance of CPU, memory, storage and network along with a price, will recommend the best performing instances. The system only requires provider specified data about instance types and doesn’t require costly cloud benchmarking. We evaluate our approach on Microsoft Azure across a number of different common workload types.
Citation
Boonprasop , C & Barker , A D 2018 , Simplified cloud instance selection . in Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms (CrossCloud'18) . , 5 , ACM , New York, NY , 5th Workshop on CrossCloud Infrastructures & Platforms , Porto , Portugal , 23/04/18 . https://doi.org/10.1145/3195870.3195875
 
workshop
 
Publication
Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms (CrossCloud'18)
DOI
https://doi.org/10.1145/3195870.3195875
Type
Conference item
Rights
© 2018, ACM. 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 as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3195870.3195875
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  • Computer Science Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17165

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