SelCSP: A Framework to Facilitate Selection of Cloud Service Providers

Ghosh, Nirnay; Ghosh, Soumya K.; Das, Sajal K.

doi:10.1109/tcc.2014.2328578

Cited by 100 publications

(47 citation statements)

References 35 publications

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“…Before ranking and selecting a cloud plan (or cloud provider), users need to measure and compare the guarantees offered by cloud providers. Different works have addressed this problem, proposing techniques for measuring, for example, performance, costs, and Quality of Service offered to final users (e.g., [5], [7], [11]), possibly using also feedbacks by users and/or by a trusted third party (e.g., [12], [13], [14]). These proposals are complementary to the work presented in this paper as the information produced by them (i.e., the value of some properties) could be used as input to our approach.…”

Section: Related Workmentioning

confidence: 99%

Supporting User Requirements and Preferences in Cloud Plan Selection

Vimercati

Foresti

Livraga

et al. 2019

IEEE Trans. Serv. Comput.

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Abstract-With the cloud emerging as a successful paradigm for conveniently storing, accessing, processing, and sharing information, the cloud market has seen an incredible growth. An ever-increasing number of providers offer today several cloud plans, with different guarantees in terms of service properties such as performance, cost, or security. While such a variety naturally corresponds to a diversified user demand, it is far from trivial for users to identify the cloud providers and plans that better suit their specific needs. In this paper, we address the problem of supporting users in cloud plan selection. We characterize different kinds of requirements that may need to be supported in cloud plan selection and introduce a very simple and intuitive, yet expressive, language that captures different requirements as well as preferences users may wish to express. The corresponding formal modeling permits to reason on requirements satisfaction to identify plans that meet the constraints imposed by requirements, and to produce a preference-based ranking among such plans.Index Terms-Cloud plan selection, cloud plan requirements and preferences, cloud plan ranking

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Section: Related Workmentioning

confidence: 99%

Supporting User Requirements and Preferences in Cloud Plan Selection

Vimercati

Foresti

Livraga

et al. 2019

IEEE Trans. Serv. Comput.

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“…A trust model based on service level agreement (SLA) parameters is proposed by Pawar et al [17]. Ghosh et al [18] proposed a framework for assessment of risk of interaction with cloud service provider. The approach in turn includes evaluating trust of the service provider.…”

Section: Related Workmentioning

confidence: 99%

“…The trust is estimated on the basis of direct and indirect interactions ISSN: 2088-8708 between customer and cloud provider. The approaches [10,17,18] do not offer dynamic trust update along a period of time. Also, these approaches do not consider QoS requirements of user for trust assessment.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Preferences based Customized Trust Model for Assessment of Cloud Services

Deshpande¹,

Ingle²

2018

IJECE

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In cloud environment, many functionally similar cloud services are available. But, the services differ in Quality of Service (QoS) levels, offered by them. There is a diversity in user requirements about the expected qualities of cloud services. Trust is a measure to understand whether a cloud service can adequately meet the user requirements. Consequently, trust assessment plays a significant role in selecting the suitable cloud service. This paper proposes preferences based customized trust model (PBCTM) for trust assessment of cloud services. PBCTM takes into account user requirements about the expected quality of services in the form of preferences. Accordingly, it performs customized trust assessment based on the evidences of various attributes of cloud service. PBCTM enables elastic trust computation, which is responsive to dynamically changing user preferences with time. The model facilitates dynamic trust based periodic selection of cloud services according to varying user preferences. Experimental results demonstrate that the proposed preferences based customized trust model outperforms the other model in respect of accuracy and degree of satisfaction.Copyright c 2018 Institute of Advanced Engineering and Science.All rights reserved.Corresponding Author: Shilpa Deshpande, Department of Computer Engineering, College of Engineering Pune, Savitribai Phule Pune University, Pune, Maharashtra, India Email: shilpshree@yahoo.com INTRODUCTIONCloud computing has entered mainstream and received wider acceptance. It is increasingly adopted by individuals, small and medium scale enterprises (SMEs) and government organizations to run their critical applications. The reason for this acceptance is the characteristics of cloud like scalability, on demand service, anytime-anywhere access, economic benefits of pay-per-use, delegation of maintenance and administration, performance and disaster recovery. Cloud services have proliferated to include software as a service, database as a service, platform as a service, infrastructure as a service, security as a service and storage as a service [1]. Cloud environment still remains challenging to rely on because of factors like loss of control over applications and data, increased threats of security [2], performance issues related to virtualization [3], enterprise grade availability requirements [4,5,6] and adequately meeting Quality of Service (QoS) expectations of users [7].Cloud computing has compelling advantages yet challenges too. For an enterprise to adopt cloud, it is important that enterprise has a certain belief that advantages of cloud can be realized. Trust is a measure of this belief [8]. Conventionally, people rely on reputation [4,8], service level agreement (SLA) [6,9], self-assessment [8,9] and cloud auditing [8,9] for trust assessment in cloud environment. However, trust assessment in cloud environment poses further important issues, which are revealed as part of the following discussion.Reputation based traditional trust assessment technique relies on ...

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“…al. [26] proposed SelCSP, a risk model which enables clients to select the most reliable CSP by using trustworthiness and competence of each CSP to estimate the provider reliability. SelCSP focuses on metrics such as number of CPUs and VMs, down time and interaction.…”

Section: Related Workmentioning

confidence: 99%