Modeling legal and regulative requirements for ranking alternatives of cloud-based services

Garg, Radhika; Naudts, Bram; Verbrugge, Sofie; Stiller, Burkhard

doi:10.1109/relaw.2015.7330208

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…The overall quality rating for cloud services is calculated using ANP by employing a pairwise comparison matrix and an eigenvector of the matrix. Garg et al [48] devised a method for assisting cloud customers in evaluating and choosing an IaaS cloud while keeping legal and regulatory constraints in mind. Goal-oriented requirement language, ANP, and TOPSIS were used in this approach.…”

Section: Related Workmentioning

confidence: 99%

An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

Mostafa

2021

IEEE Access

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Section: Related Workmentioning

confidence: 99%

An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

Mostafa

2021

IEEE Access

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“…There are so many criteria that have been defined and Figure I Degree of possibility considered in the literature. The subjective criteria are obtained from the expert which are based on university's requirements and cross checked by the similar studies to confirm the validity [11,28,29]. As a result, for the IaaS provider selection case study the following six criteria are used:…”

Section: A Criteria Selectionmentioning

confidence: 99%

“…Some of these general frameworks consider the enterprise's feedback regarding the solution of the framework and adjust the solution afterwards [10,11]. Beside general decision making frameworks, there are number of reviews [12,13] on application of MCDM techniques for solving CC service provider selection problem.…”

Section: Introductionmentioning

confidence: 99%

Selecting cloud computing service provider with fuzzy AHP

Tanoumand

Ozdemir

Kılıç

et al. 2017

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Abstract-With the growing demand for outsourcing the ICT section of enterprises, Cloud Computing service providers increased their popularity. Selecting the most appropriate provider for a demanding enterprise depends on many criteria that are based on the strategies, requirements, and resources of the enterprise. Since this problem is a kind of decision problem and depends on criteria of decisionmaker, it can be modeled as Multi-criteria Decision Making (MCDM) problem. In this research, a pilot case study is conducted in which the Cloud Computing service provider selection problem is modeled as a MCDM problem. For selecting the most appropriate provider, Fuzzy Extend Analysis is implemented in the case study.

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Mending the patchwork of requirements from multiple standards using participative goal modelling: a case in the food industry

Barata¹,

Cunha

2017

Requirements Eng

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Modeling legal and regulative requirements for ranking alternatives of cloud-based services

Cited by 7 publications

References 15 publications

An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

Selecting cloud computing service provider with fuzzy AHP

Mending the patchwork of requirements from multiple standards using participative goal modelling: a case in the food industry

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