RT Journal Article
T1 A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications
A1 Arostegi, María
A1 Torre-Bastida, Ana
A1 Bilbao, Miren Nekane
A1 Del Ser, Javier
AB The rapid growth of new computing paradigms such as Cloud Computing and Big Data has unleashed great opportunities for companies to shift their business model towards a fully digital strategy. A major obstacle in this matter is the requirement of highly specialized ICT infrastructures that are expensive and difficult to manage. It is at this point that the IaaS (infrastructure as a service) model offers an efficient and cost-affordable solution to supply companies with their required computing resources. In the Big Data context, it is often a hard task to design an optimal IaaS solution that meets user requirements. In this context, we propose a methodology to optimize the definition of IaaS cloud models for hosting Big Data platforms, following a threefold criterion: cost, reliability, and computing capacity. Specifically, the proposed methodology hinges on evolutionary heuristics in order to find IaaS configurations in the cloud that optimally balance such objectives. We also define measures to quantify the aforementioned metrics over a Big Data platform hosted within an IaaS cloud model. The proposed method is validated by using real information from three IaaS providers and three Big Data platforms. The obtained results provide an insightful input for system managers when initially designing cloud infrastructures for Big Data applications.
SN 0266-4720
YR 2018
FD 2018-10
LK https://hdl.handle.net/11556/4526
UL https://hdl.handle.net/11556/4526
LA eng
NO Arostegi , M , Torre-Bastida , A , Bilbao , M N & Del Ser , J 2018 , ' A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications ' , Expert Systems , vol. 35 , no. 5 , e12259 . https://doi.org/10.1111/exsy.12259
NO Publisher Copyright: © 2018 John Wiley & Sons, Ltd.
NO This work has been funded in part by the Basque Government under the ELKARTEK program (BID3ABI project).
DS TECNALIA Publications
RD 28 jul 2024