Integration of analytic network process with service measurement index framework for cloud service provider selection

Tripathi, Atul; Pathak, Isha; Vidyarthi, Deo Prakash

doi:10.1002/cpe.4144

Cited by 22 publications

(8 citation statements)

References 32 publications

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“…This framework employed an AHP based ranking mechanism which can assess the cloud services based on the QoS requirements of CSCs. Tripathi et al [19] proposed an improved SMI-based framework for enabling CSCs to select an appropriate CSP according to their QoS requirements. This framework employed the analytic network process (ANP) method for the ranking of cloud services.…”

Section: Related Workmentioning

confidence: 99%

“…Finally, the ordering vector of P can be calculated by equation (19), represented as follows. It can seen that CSP 4 is the best and CSP 2 is the worst.…”

Section: Case Studymentioning

confidence: 99%

“…Step 5: In order to facilitate PCC to select the trustworthy cloud service, the candidate CSPs need to be ranked by the ordering vector of the possibility degree matrix in this step. The ordering vector υ of P can be calculated according to equation (19). The priority of m CSPs whose cloud service conforms to the QoS attributes requirements of PCC can be obtained by the ordering vector υ.…”

Section: Time Complexity Of Tammentioning

confidence: 99%

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FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

Li¹

2020

Preprint

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By virtue of technology and benefit advantages, cloud computing has increasingly attracted a large number of potential cloud consumers (PCC) plan to migrate traditional business to the cloud service. However, trust has become one of the most challenging issues that prevent the PCC from adopting cloud services, especially in trustworthy cloud service selection. In addition, due to the diversity and dynamic of quality of service (QoS) in cloud environment, the existing trust assessment methods based on the single constant value of QoS attribute and the subjective weight assignment are not good enough to provides an effective solution for PCCs to identify and select a trustworthy cloud service among a wide range of functionally-equivalent cloud service providers (CSP). To address the challenge, a novel assessment and selection framework for trustworthy cloud service, FASTCloud, is proposed in this study. This framework facilitate PCCs to select a trustworthy cloud service based on their actual QoS requirements. In order to accurately and efficiently assess the trust level of cloud services, a QoS-based trust assessment model is proposed. This model represents a trust level assessment method based on the interval multiple attributes with a objective weight assignment method based on the deviation maximization to adaptively determine the trust level of different cloud services provisioned by candidate CSPs. The advantage of proposed trust level assessment method in time complexity is demonstrated by the performance analysis

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Section: Related Workmentioning

confidence: 99%

“…Finally, the ordering vector of P can be calculated by equation (19), represented as follows. It can seen that CSP 4 is the best and CSP 2 is the worst.…”

Section: Case Studymentioning

confidence: 99%

Section: Time Complexity Of Tammentioning

confidence: 99%

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FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

Li¹

2020

Preprint

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“…The brief results obtained from the literature review could be summarized as follows: Selecting the best services among various cloud services available in the cloud market is a great challenge and a decision-making method is required to assist the users in service selection (Lee and Seo, 2016; Tripathi et al , 2017). The method should take into account multiple conflicting objectives of factors in cloud service selection; thus, the MCDM methodology has best fit in designing the cloud service selection systems both in weighting decision criteria and final ranking of the vendors. There is a lack of approaches for assisting users in decision making for cloud e-learning service management or vendor selection.…”

Section: Literature Reviewmentioning

confidence: 99%

A comprehensive framework to rank cloud-based e-learning providers using best-worst method (BWM)

Pour¹,

Mesrabadi

Hosseinzadeh

2019

OIR

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Purpose Today, the high cost of e-learning systems’ implementation and the difficulty of managing the infrastructures motivate educational institutions toward application of cloud-based e-learning systems. This new system should be aligned with the academics’ aims and pedagogical principles to be beneficial for learners and instructors. Therefore, the vendor selection of learning systems is one of the most important processes to migrate toward cloud-based e-learning. The purpose of this paper is to develop a new framework to facilitate the vendor selection of cloud-based e-learning systems in the cloud market. Design/methodology/approach To identify the initial criteria as to the vendor selection of cloud-based e-learning services, a literature review is done. To enrich the initial criteria, a focus group of experts is investigated, and the framework developed; then, a survey analysis is conducted to validate the proposed framework. The extracted criteria and sub-criteria are weighted and prioritized using best-worst method (BWM). Findings The results indicate that the main dimensions of vendor selection framework as regards cloud-based e-learning systems are managerial, technological and pedagogical factors. The rank orders and weights of the mentioned aspects and their sub-criteria are calculated using the BWM. Practical implications The proposed framework helps managers to get a big picture of requirements as to cloud-based e-learning and more effectively to select appropriate vendors in this initiative. In the vendor selection process, managers must pay attention to technological issues as well as managerial and pedagogical considerations. Originality/value Cloud-based e-learning systems are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, there are little studies on how educational institutions and organizations could be able to select appropriate cloud-based e-learning systems. This paper explores the ignored but critically important subject of cloud-based e-learning. The main contribution of this paper is to propose a novel and integrated framework containing the important aspects of vendor selection in cloud-based e-learning services. The proposed framework comprises managerial, technological and pedagogical aspects simultaneously as well as sub-criteria denoting each aspect.

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“…Razmi and Rafiei [7] built a submodel that contains ANP and is used to select suitable suppliers among existing suppliers. Tripathi et al [8] proposed a framework of Service Measurement Index (SMI) based on ANP to sort cloud services. Ma and Wu [9] proposed a fuzzy ANP method based on linear objective programming model, which is used to determine the fuzzy global priority.…”

Section: Introductionmentioning

confidence: 99%

Selection of Medical Waste Treatment Centers Using Anp

Li¹,

Chen²,

Sagir³

2020

Proceedings of the International Symposium on the Analytic Hierarchy Process

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The outbreak of the COVID-19 continues to date, which poses a great threat to social security and stability. In the short term, there is a large increase in the infectious medical waste (IMW), the pressure of medical waste treatment centers (MWTCs) is greatly enlarged and the probability of contact infection is significantly augmented. If IMW is improperly disposed of, it may accelerate the spread of the virus and pose a risk to the target population. Choosing the best disposal site for IMW is a challenging decision-making issue. Therefore, this paper proposes an evaluation model based on analysis network process (ANP), and establishes a universal risk assessment method system for MWTCs, aiming to determine the optimal treatment location of IMW, so as to effectively deal with a large amount of IMW in a very short time and reduce the risk of infection. Finally, the feasibility and effectiveness of the method are illustrated with an example of Wuhan, Hubei province, China during COVID-19. The conclusion of this study can provide a reference for the selection of MWTCs under infectious diseases.

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Integration of analytic network process with service measurement index framework for cloud service provider selection

Cited by 22 publications

References 32 publications

FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

A comprehensive framework to rank cloud-based e-learning providers using best-worst method (BWM)

Selection of Medical Waste Treatment Centers Using Anp

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