scholarly journals An Improved CoCoSo Method with a Maximum Variance Optimization Model for Cloud Service Provider Selection

2020 ◽  
Vol 31 (4) ◽  
pp. 411-424
Author(s):  
Han Lai ◽  
Huchang Liao ◽  
Zhi Wen ◽  
Edmundas Kazimieras Zavadskas ◽  
Abdullah Al-Barakati
Keyword(s):  
Service Provider ◽  
Optimization Model ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Careful Analysis ◽  
Cloud Services ◽  
Cloud Service Provider ◽  
Maximum Variance ◽  
Cloud Service Providers

With the rapid growth of available online cloud services and providers for customers, the selection of cloud service providers plays a crucial role in on-demand service selection on a subscription basis. Selecting a suitable cloud service provider requires a careful analysis and a reasonable ranking method. In this study, an improved combined compromise solution (CoCoSo) method is proposed to identify the ranking of cloud service providers. Based on the original CoCoSo method, we analyze the defects of the final aggregation operator in the original CoCoSo method which ignores the equal importance of the three subordinate compromise scores, and employ the operator of “Linear Sum Normalization” to normalize the three subordinate compromise scores so as to make the results reasonable. In addition, we introduce a maximum variance optimization model which can increase the discrimination degree of evaluation results and avoid inconsistent ordering. A numerical example of the trust evaluation of cloud service providers is given to demonstrate the applicability of the proposed method. Furthermore, we perform sensitivity analysis and comparative analysis to justify the accuracy of the decision outcomes derived by the proposed method. Besides, the results of discrimination test also indicate that the proposed method is more effective than the original CoCoSo method in identifying the subtle differences among alternatives.

An Analysis on the Terms and Conditions of the Clickwrap Agreement and the Benefits of Maintaining the Click Wrap Agreement in Cloud Computing

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
End User ◽  
Cloud Service Provider ◽  
Novel Approach ◽  
Cloud Service Providers ◽  
Provider Perspective

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.

scholarly journals Research on Trust Computing for Cloud Service Providers

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1093-1096
Keyword(s):  
Machine Learning ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Light Weight ◽  
Cloud Service Provider ◽  
Cloud Service Providers ◽  
Service Capability ◽  
Best Fit ◽  
Trust Computing

Cloud computing has evolved over a decade and thrived to the state that Information Technology cannot survive without cloud. It has evolved in such a way that it is embedded in every one’s life. Though cloud has become integral part of every new software, still there are gaps in security features and customers keenly look into multiple aspects of cloud service provider features before choosing their appropriate CSP. More than cost and features Cloud Service Provider should gain trust of the clients to do more business. There are lot of factors involved to gain confidence of client such as transparency, cost, security etc. Also how flexible the provider can help in deploying for various light weight devices such as Internet of Things (IoT) also matters where in IoT is emerging industry. Concurrently Cloud Service capability to work in collaborative fashion and other machine learning features will also take into account by clients to choose their respective best fit Cloud Service Provider.

scholarly journals A Novel Cryptosystem for Files Stored in Cloud using NTRU Encryption Algorithm

2020 ◽  
Vol 9 (1) ◽  
pp. 2127-2130
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Computational Cost ◽  
Cloud Service ◽  
Encryption Algorithm ◽  
Advanced Encryption Standard ◽  
Cloud Infrastructure ◽  
Computationally Efficient ◽  
Cloud Service Provider ◽  
Cloud Service Providers

The cloud refers to a set of services and infrastructure that are accessed via the internet. the cloud infrastructure is shared by many users each one performing different tasks. in order to prevent data leakage in the cloud the Cloud Service Provider should employ an Encryption Algorithm to protect the data of the users. Since the cloud service providers and large amount of data the Encryption Algorithm should be very efficient in terms of computational cost and time. Current Cloud service providers you son of the following algorithms to encrypt and decrypt the data Advanced encryption standard(AES), Rivest–Shamir–Adleman (RSA) and elliptic curve cryptography(ECC).The encryption for cloud should be chosen such that it is computationally efficient for the Cloud Service Provider and also meets the security requirement of the user

scholarly journals A Proposition of Modifications and Extensions of Cloud Computing Standards for Trust Characteristics Measures

2019 ◽  
Vol 12 (3) ◽  
pp. 27
Author(s):  
Sara Moazzezi Eftekhar ◽  
Witold Suryn
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Services ◽  
Marked Rise ◽  
Cloud Service Provider ◽  
Ongoing Research ◽  
Platform As A Service ◽  
Cloud Service Providers

In recent years, we have witnessed a marked rise in the number of cloud service providers with each offering a plethora of cloud services with different objectives. Gaining confidence for cloud technology adoption as well as selecting a suitable cloud service provider, both require a proper evaluation of cloud service trust characteristics. Hence, the evaluation of cloud services before used by the customer is of utmost importance. In this article, we adapt the extracted trust characteristics from both system and software quality standards and cloud computing standards, for evaluating cloud services. Moreover, we derive measures for each trust characteristics to evaluate the trustworthiness of different cloud service providers, and generalize these trust measures for any type of cloud services (e.g. Software as a Service, Platform as a Service, and Infrastructure as a Service). Our work thereby demonstrates a way to apply generalized trust measures for cloud services and therefore contributes to a better understanding of cloud services to evaluate their quality characteristics. As part of our ongoing research, the results of this study will be used to develop a comprehensive cloud trust model.

Cloud Based Secure Data Sharing Algorithm for Health Care

2016 ◽  
pp. 47-65
Author(s):  
Saravana Kumar N. ◽  
Rajya Lakshmi Gubburi Venkataramana ◽  
Balamurugan B.
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Health Sector ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Service Provider ◽  
Language Technology ◽  
Wide Range ◽  
Architectural Framework ◽  
And Performance

Cloud computing is one of most fast developing technology and many organizations are now offering a wide range of cloud services. Although the services provided are the same there is no common programming language, technology and protocol to access the entirety of the cloud services. Client who use a service provided by a certain organization are often limited and confined to that specific organization its structure and technologies. A Cloud federation is one solution to that interoperability through which computing resources of one Cloud Service Provider is rented or sold to another service provider or the services provided by one Cloud Service Provider is replicated into another Cloud Service Provider without having to lose any functionality and performance. This process is a tedious task and is prone to multiple limitations. In this paper we proposed the architectural framework and algorithm for the possible interoperability between the cloud service providers based on SLA in prospective of health sector as the application of cloud in health sector is highly needed in future.

Trust Relationship Establishment Among Multiple Cloud Service Provider

2018 ◽  
pp. 351-384 ◽  
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Arpita Bhattacharjee ◽  
Ranjita Choudhury
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Resource Request ◽  
Trust Relationships ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Identity Provider

Trust relationships among multiple Cloud Service Providers is a concept in which multiple cloud service providers from multiple distributed Identity Provider can access resources of each other, only if they are trusted with their Identity Provider. In this chapter a scheme has been proposed to enhance the security of data in a multi-cloud environment by improving trust relationships among multiple clouds. The scheme is also designed to overcome interoperability problem between different clouds. In the proposed scheme concept of proxy is used. Client organization tries to communicate with multiple cloud service providers through proxy. Client organization send resource request to cloud service providers. On receiving the resource request the cloud service provider collect the authentication confirmation from proxy. Then it sends the reply and data to requested client organization. Numerical analysis and comparative study of the proposed scheme with some of the existing scheme has been carried out.

Choosing Clouds for an Enterprise

2013 ◽  
Vol 4 (2) ◽  
pp. 38-53
Author(s):  
Ruay-Shiung Chang ◽  
Chih-Shan Liao ◽  
Chuan-Yu Liu
Keyword(s):  
Cloud Computing ◽  
Dynamic Characteristics ◽  
Service Provider ◽  
Service Providers ◽  
Evaluation Model ◽  
Cloud Service ◽  
Cloud Services ◽  
Web Based ◽  
The Past ◽  
Cloud Service Providers

The development of cloud computing has advanced rapidly over the past few years. Benefiting from the dynamic characteristics of cloud computing, enterprises can purchase cloud services based on different aspects in order to save operating expenses. Many companies have seen the opportunities and changes in either cloud service providers or cloud service consumers. For the latter, with so many cloud providers to choose from, there is a need for an evaluation of standards to help find the most suitable service provider. In this paper, the essential factors of enterprise clouds are discussed. An evaluation model is defined, and a web-based enterprise cloud selection application is implemented.

scholarly journals Highlight the Features of AWS, GCP and Microsoft Azure that Have an Impact when Choosing a Cloud Service Provider

2020 ◽  
Vol 8 (5) ◽  
pp. 4124-4232
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Public Cloud ◽  
Cloud Service Provider ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Amazon Web Services ◽  
Cloud Computing Services ◽  
Microsoft Azure

Picking up public cloud service providers is now becoming a harder task in an enterprise organization. This paper will help in reducing more hesitation to choose a public cloud service provider. This paper is highlighting computation, storage, and infrastructure is important to service features that have an impact when choosing cloud service providers. Compare these three (AWS, Microsoft Azure, GCP) CSPs concerning service, price, advantages, and highlight significant service features. Studies discuss the primary reason to choose a CSP that normally enhance features, familiarity with the brand, suitable for organization and security parameters considered when choosing CSP. Amazon Web Services proved its leadership by maintaining about 33% share in the market throughout for several quarters irrespective of the market size increased by a factor of 3. Microsoft has shown prominent performance in SaaS. Since 2008, after introducing PaaS in the form of Google App Engine, Google is continuously enhancing its cloud computing services of Google Cloud Platform.

Trust Relationship Establishment Among Multiple Cloud Service Provider

2019 ◽  
pp. 1548-1576
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Arpita Bhattacharjee ◽  
Ranjita Choudhury
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Resource Request ◽  
Trust Relationships ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Identity Provider

Trust relationships among multiple Cloud Service Providers is a concept in which multiple cloud service providers from multiple distributed Identity Provider can access resources of each other, only if they are trusted with their Identity Provider. In this chapter a scheme has been proposed to enhance the security of data in a multi-cloud environment by improving trust relationships among multiple clouds. The scheme is also designed to overcome interoperability problem between different clouds. In the proposed scheme concept of proxy is used. Client organization tries to communicate with multiple cloud service providers through proxy. Client organization send resource request to cloud service providers. On receiving the resource request the cloud service provider collect the authentication confirmation from proxy. Then it sends the reply and data to requested client organization. Numerical analysis and comparative study of the proposed scheme with some of the existing scheme has been carried out.

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