Research on Behavior Trust Evaluation Method of Cloud Services Based on Membership Theory

2013 ◽  
Vol 427-429 ◽  
pp. 2377-2382
Author(s):  
Ying Liu ◽  
Yan Wang ◽  
Xian You Sun

Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Lan Zhang

With the continuous development of social economy, social sport is more and more valued and favored by the people as a universal and nationwide sport, but it should be noted that social sport involves a wide range of aspects, but due to its particularity, it is also constrained by economic development. In view of these needs and limitations, three technical methods of entropy method, RSR (rank-sum ratio), and TOPSIS are introduced, to sort out the development of social sports, national physical development, social sports guidance, and the number of people to be measured in various places based on the relevant technologies of smart cities in this paper, realize the application analysis of social sports in the public service level. This paper aims to provide a scientific evaluation and evaluation method for social sports information cloud services. The results of simulation experiments show that the evaluation of social sports information cloud service quality based on smart cities is effective, and the comprehensive application of methods can be implemented perfectly, and the further promotion and popularization of social sports services can be realized.


Author(s):  
Jin Han ◽  
Jing Zhan ◽  
Xiaoqing Xia ◽  
Xue Fan

Background: Currently, Cloud Service Provider (CSP) or third party usually proposes principles and methods for cloud security risk evaluation, while cloud users have no choice but accept them. However, since cloud users and cloud service providers have conflicts of interests, cloud users may not trust the results of security evaluation performed by the CSP. Also, different cloud users may have different security risk preferences, which makes it difficult for third party to consider all users' needs during evaluation. In addition, current security evaluation indexes for cloud are too impractical to test (e.g., indexes like interoperability, transparency, portability are not easy to be evaluated). Methods: To solve the above problems, this paper proposes a practical cloud security risk evaluation method of decision-making based on conflicting roles by using the Analytic Hierarchy Process (AHP) with Aggregation of Individual priorities (AIP). Results: Not only can our method bring forward a new index system based on risk source for cloud security and corresponding practical testing methods, but also can obtain the evaluation result with the risk preferences of conflicting roles, namely CSP and cloud users, which can lay a foundation for improving mutual trusts between the CSP and cloud users. The experiments show that the method can effectively assess the security risk of cloud platforms and in the case where the number of clouds increased by 100% and 200%, the evaluation time using our methodology increased by only by 12% and 30%. Conclusion: Our method can achieve consistent decision based on conflicting roles, high scalability and practicability for cloud security risk evaluation.


Author(s):  
Olexander Melnikov ◽  
◽  
Konstantin Petrov ◽  
Igor Kobzev ◽  
Viktor Kosenko ◽  
...  

The article considers the development and implementation of cloud services in the work of government agencies. The classification of the choice of cloud service providers is offered, which can serve as a basis for decision making. The basics of cloud computing technology are analyzed. The COVID-19 pandemic has identified the benefits of cloud services in remote work Government agencies at all levels need to move to cloud infrastructure. Analyze the prospects of cloud computing in Ukraine as the basis of e-governance in development. This is necessary for the rapid provision of quality services, flexible, large-scale and economical technological base. The transfer of electronic information interaction in the cloud makes it possible to attract a wide range of users with relatively low material costs. Automation of processes and their transfer to the cloud environment make it possible to speed up the process of providing services, as well as provide citizens with minimal time to obtain certain information. The article also lists the risks that exist in the transition to cloud services and the shortcomings that may arise in the process of using them.


2020 ◽  
Vol 12 ◽  
pp. 184797901989744 ◽  
Author(s):  
Panjun Sun

Recently, more and more network fraud incidents have damaged the interests of cloud service traders. To enhance mutual trust and win–win cooperation between the users and the cloud service provider, in the article, we construct a trust access control model for cloud services. First, we propose a trust evaluation method based on direct trust, trust risk, feedback trust, reward penalty, and obligation trust to express the complexity and uncertainty of trust relationship. Second, we propose trust evaluation and weight algorithm of trust factor by information entropy and maximum dispersion; therefore, our model has a better scientific and higher practical application value. Finally, we design related comparative experiments of three models to verify the efficiency, success rate, accuracy of trust evaluation, and privacy disclosure date, and these results show that our research performance is quite superior.


Cloud computing or in other words, shared computing is a unique way of sharing resources via the Internet. It combines and extends features of parallel processing, grid computing, and distributed computing. Cloud Computing environments provide a competent way to schedule and process various jobs on remote machines. Rather than relying on local machines, Cloud users access services remotely via high-speed networks. Various users submitting jobs to be processed to Cloud would expect Quality of Service (QoS). So, currently, many researchers are proposing various heuristics that provide QoS to cloud users. The job scheduler is responsible for scheduling various jobs to its best-matched resource to achieve desired QoS. There are Service Level Agreements (SLAs) between Cloud Service Providers (CSPs) and Cloud users, which need to be followed by both the parties. Benefits would be affected in case of not complying with SLAs. In this paper various SLAs like Hard SLA, Best Effort SLA and Soft SLA are proposed. Jobs with required QoS parameters like Reliability, Execution Time and Priority are submitted to the scheduler. QoS of resources is determined by parameters like Reliability, Job Completion Time and the Cost of the resource. Schedulers then assign the Job to the best-matched resource according to specified SLA. Simulation is performed for First Fit and Best Fit heuristic approaches. Performances of both the heuristic approaches are evaluated with performance parameters like Average Resource Utilization (ARU), Success Rate of Jobs (SR) and Total Completion Time (TCT). This research work is useful for various organizations that provide various Cloud services to users who seek different levels of QoS for various applications.


2017 ◽  
Vol 5 (2) ◽  
pp. 97-106
Author(s):  
VNS Surendra Chimakurthi

Many firms are seeing the benefits of moving to the cloud. For the sake of their customers' data, cloud service providers are required by law to maintain the highest levels of data security and privacy. Most cloud service providers employ a patchwork of security and privacy safeguards while industry standards are being created. The upshot is that customers of cloud services are unsure whether or not the security protections supplied by these services are enough to meet their specific security and compliance requirements. In this article, we have discussed the many threats cloud users face and emphasized the compliance frameworks and security processes that should be in place to minimize the risk. To categorize cloud security measures, risks, and compliance requirements, we developed an ontology. We needed to design software to identify the high-level policy rules that must be applied in response to each danger as part of this initiative. Additionally, the program provides a list of cloud service providers that now satisfy specific security requirements. Even if they aren't familiar with the underlying technology, cloud users may utilize our system to build up their security policy and identify compatible providers.


2019 ◽  
Vol 8 (4) ◽  
pp. 7283-7287

On-demand cloud services must be provided to customers at any time by ways of cloud service providers due to cloud demand. It is obligatory for cloud service providers to lessen large volumes of data, thereby it can reduce costs for maintaining large storage systems.Infrastructure level performance is an important problem which directly affects the overall working of cloud computing environment. The objective of our framework is enhancing the performance of cloud infrastructure. Proposed approach demonstrates high effective in cloud performance enhancement, as it displays enhancement in both the service providers as well as for cloud users.


Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Ying Huo ◽  
Yi Zhuang ◽  
Siru Ni

Purpose – The purpose of this paper is to define an evaluation model for cloud services to deal with the fuzzy information and propose a novel fuzzy evaluation method based on consistency intensity to analyze the quantitative value from the fuzzy information. Design/methodology/approach – The cloud service evaluation framework is constructed, and different trusted indicators for the infrastructure services and the application services are designed, respectively. In the novel fuzzy evaluation method, the interval values can be aggregated by the Dempster-Shafer Theory and be transformed into the certain value by linguistic discount factor. The consistency intensity is proposed to determine the value of the linguistic discount factor, which can reflect the mainstream opinions in the assessment. Findings – The proposed method can solve the problem on the analysis and synthesis of the fuzzy evaluation information. An instance of trust evaluation of cloud storage service is illustrated to verify that the proposed method can express the opinions of all evaluators more adequately. Practical implications – A serial of experiments are carried out on NetLogo, and the results show that the proposed method is practical and efficient. Originality/value – Instead of obtaining only the qualitative results by the multi-attribute decision-making method, the fuzzy evaluation method based on consistency intensity can obtain the quantitative results from the fuzzy information according to linguistic discount factor and consistency intensity.


Author(s):  
Saravana Kumar N. ◽  
Rajya Lakshmi Gubburi Venkataramana ◽  
Balamurugan B.

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.


2013 ◽  
Vol 4 (2) ◽  
pp. 38-53
Author(s):  
Ruay-Shiung Chang ◽  
Chih-Shan Liao ◽  
Chuan-Yu Liu

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.


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