An influence diagram based cloud service selection approach in dynamic cloud marketplaces

Sun, Le

doi:10.1007/s10586-017-1438-7

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Cloud customers will find it incredibly challenging to select the most appropriate CSP based on their preferences due to many existing CSPs and the wide range of evaluating criteria. The selection of cloud services has been the subject of several recent studies [10][11][12]. Even though these studies have been validated thoroughly, they still have flaws, including low comparison consistency and increased processing complexity, which remain major issues in the selection of cloud services.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Framework for Cloud Service Selection Based on BOM and燭OPSIS

Mostafa¹

2022

Computers, Materials &Amp; Continua

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Many businesses have experienced difficulties in selecting a cloud service provider (CSP) due to the rapid advancement of cloud computing services and the proliferation of CSPs. Many independent criteria should be considered when evaluating the services provided by different CSPs. It is a case of multi-criteria decision-making (MCDM). This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method (BOM) and technique for order of preference by similarity to ideal solution (TOPSIS). To obtain the weights of criteria and the relative importance of CSPs based on each criterion, BOM performs pairwise comparisons of criteria and also for alternatives on each criterion, and TOPSIS uses these weights to rank cloud alternatives. An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy. Moreover, the developed framework was compared with the analytical hierarchical process (AHP), a popular MCDM approach, based on two perspectives: efficiency and consistency. According to the research results, the proposed framework only requires 25% of the comparisons needed for the AHP approach. Furthermore, the proposed framework has a CR of 0%, whereas AHP has 38%. Thus, the proposed framework performs better than AHP when it comes to computation complexity and consistency, implying that it is more efficient and trustworthy.

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Section: Introductionmentioning

confidence: 99%

An Integrated Framework for Cloud Service Selection Based on BOM and燭OPSIS

Mostafa¹

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The goal of MCDM in this case is to rank and evaluate alternatives based on the selected criteria [17]. Several studies on cloud service selection have been conducted recently [18]- [20]. Although these studies have been well verified, they still have certain drawbacks, such as low comparison consistency, lengthy comparison systems, and increased overall computing complexity, which is still a major issue in the cloud service selection process.…”

Section: Introductionmentioning

confidence: 99%