An Optimization-Based Approach for Cloud Solution Design View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-20

AUTHORS

Aly Megahed , Ahmed Nazeem , Peifeng Yin , Samir Tata , Hamid Reza Motahari Nezhad , Taiga Nakamura

ABSTRACT

Over the last few years, the rate of adoption of cloud computing and specifically managed cloud hosting and migration has accelerated significantly. Consequently, many enterprises/clients choose to migrate their local IT workload to cloud platforms. Such a migration consists in considering a cloud offering and come up with a cloud solution. In industrial settings, cloud designer may spend one day or so to come up with an acceptable cloud solution with a reduced cost/price. It is obvious that such a process is error prone, is time consuming and does not guarantee an optimal solution, e.g. a solution with a minimum cost/price. In this paper, we propose an approach and an optimization approach for cloud solution design that satisfy client requirements and cloud offering constraints and producing a solution, if there is any, with a minimum cost in a reasonable time. In addition, we present the implementation of our optimization method as well as two baseline methods and compare the results of applying all three methods on realistic data. More... »

PAGES

751-764

References to SciGraph publications

Book

TITLE

On the Move to Meaningful Internet Systems. OTM 2017 Conferences

ISBN

978-3-319-69461-0
978-3-319-69462-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-69462-7_47

DOI

http://dx.doi.org/10.1007/978-3-319-69462-7_47

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092291596


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