Evaluation of Parameters Importance in Cloud Service Selection Using Rough Sets

Liu, Yongwen; Esseghir, Moez; Boulahia, Leila Merghem

doi:10.4236/am.2016.76049

Cited by 26 publications

(6 citation statements)

References 20 publications

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“…Customers must pay whether they use the resources or not. However, with a pay-as-you-go model, customers only pay for the resources they really utilise [18]. Some service providers offer a free trial to try out their products, which is quite beneficial for customers.…”

Section: High Non Functionalmentioning

confidence: 99%

Comparative Study of Top Cloud Providers on basis of Service Availability and Cost

-¹,

-²,

-³

2022

IJFMR

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The term "cloud computing" refers to a place where we can store our important data and use pay-as-you-go computing and networking services without a physical environment. Today's cloud computing provides us with robust computing and storage, high availability and security, rapid accessibility and adaption, ensured scalability and interoperability, and cost and time efficiency. Users in a cloud environment assume that there are endless resources accessible, and they only pay for the resources they really utilize. The number of cloud service providers is growing quickly and they are adding new capabilities as technology advances. However, a cloud consumer may find it challenging to identify the best service provider for their needs. Three cloud service providers—Amazon Web Services, Google and Microsoft Azure—are explored in this study, and a comparison of these cloud service providers is provided. On the basis of service availability, price, pricing structure, data security, operating system, Windows support, free trial, and geographies, the cloud service providers were compared.

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Section: High Non Functionalmentioning

confidence: 99%

Comparative Study of Top Cloud Providers on basis of Service Availability and Cost

-¹,

-²,

-³

2022

IJFMR

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“…Several algorithms have been proposed to solve this problem, e.g., algorithm of rough set-based feature selection based on ant colony optimization (RSFSACO) in [8], cf. [9], for more detail.…”

Section: Evaluation Of Features and Making Decision Rulesmentioning

confidence: 99%

Some Methods for Evaluating Performance of Management Information System

Nguyen¹,

Tu²

2018

Management of Information Systems

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Recently, several kinds of information systems are developed for purposes and needs of business and play an important role in business organizations and management operations. Management information system, or MIS for short, is a kind of information system. It is a key factor to facilitate and attain efficient decision-making in an organization. Its performance relates to many other information systems, for instance, DSS or decision support system, SIS or strategic information system, etc. Methods of testing statistical hypotheses concerning the performance of MIS are absolutely essential to support management activities and decision-making.

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“…The system used fuzzy logic and grey scale technique to assign weight for features of cloud services. Yongwen Liu, et al [4] proposed an assessment method of parameters using roughest theory. The system identifies the best cloud service based on performance.…”

Section: Related Workmentioning

confidence: 99%

Customized Cloud Service Selection based on Parameterized Weighted Average Model using user Rating

Manikandan¹,

Kousalya²

2016

IJERT

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Most of the individuals and organizations are migrating their work into the cloud environment due to the rapid growth of cloud computing performance. In this context, a lot of cloud service providers are emerging to offer cloud services which in turn resulted, the cloud customers with a number of choices to meet their requirements. From the cloud customers point of view, choosing an appropriate cloud service based on their customized requirement is a cumbersome job. In particular, we propose a parameter weighted average model based on cloud customer feedback ratings for each and every parameters. Cloud customers may give the highest priority to a few parameters from the accessible choice of other QoS parameters, which satisfies their requirements. The proposed model allows the cloud customers to prefer their personalized and customized choices on the basis of their prerequisites and also to help the cloud service providers to realize the requirement intention of the cloud customers and hence to improve the quality of services.

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Evaluation of Parameters Importance in Cloud Service Selection Using Rough Sets

Cited by 26 publications

References 20 publications

Comparative Study of Top Cloud Providers on basis of Service Availability and Cost

Comparative Study of Top Cloud Providers on basis of Service Availability and Cost

Some Methods for Evaluating Performance of Management Information System

Customized Cloud Service Selection based on Parameterized Weighted Average Model using user Rating

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