Title: Cloud infrastructure planning: models considering an optimisation method, cost and performance requirements

Authors: Jamilson Dantas; Carlos Melo; Paulo Maciel; Rubens Matos

Addresses: Federal University of Pernambuco, Informatics Center, Recife, Brazil ' Federal University of Pernambuco, Informatics Center, Recife, Brazil ' Federal University of Pernambuco, Informatics Center, Recife, Brazil ' Federal Institute of Education, Science, and Technology, Lagarto, Brazil

Abstract: This paper proposes a methodology and models to support planning and selecting a cloud infrastructure according to availability, COA, performance and cost requirements. An optimisation model based on the GRASP metaheuristic is used to generate a cloud infrastructure with some physical machines and Virtual Machines - VMs configurations. Such a system is represented using an SPN model and closed-form equations to estimate cost and dependability metrics. The proposed method is applied in a case study of a video transcoding service hosted in a cloud environment. The case study demonstrates the selection of cloud infrastructures with the best performance and dependability metrics, considering the use of VP9, VP8 and H264 video codecs and different VM setups. The results show the best configuration choice considering six user profiles. The results also show the computation of the probability of finalising a set of video transcoding jobs by a given time t.

Keywords: cloud computing; performance; availability modelling; GRASP; COA; stochastic Petri nets; cost requirements.

DOI: 10.1504/IJGUC.2023.132613

International Journal of Grid and Utility Computing, 2023 Vol.14 No.4, pp.297 - 310

Received: 29 Jun 2019
Accepted: 05 Feb 2020
Published online: 31 Jul 2023 *

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