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Trustworthy Assurance of Service Interoperation in cloud Environment

International Journal of Automation and computing 2011年第3期8卷 297-308页

作者： Bing Li Bu-Qing Cao Kun-Mei Wen Rui-Xuan Li State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 PRC School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 PRC School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan 411201 PRC

cloud computing.can be realized by service interoperation and its essence is to provide cloud services through network. The development of effective methods to assure the trustworthiness of service interoperation in cloud environment is a very important problem. The essence of cloud security is trust and trust management. Combining quality of service （QoS） with trust model, this paper constructs a QoS-aware and quantitative trust-model that consists of initial trust value, direct trust value, and recommendatory trust value of service, making the provision, discovery, and aggregation of cloud services trustworthy. Hence, it can assure trustworthiness of service interoperation between users and services or among services in cloud environment. At the same time, based on this model, service discovery method based on QoS-aware and quantitative trust-model （TQoS-WSD） is proposed, which makes a solid trust relationship among service requestor, service provider and service recommender, and users can find trustworthy service whose total evaluation value is higher. Corapared to QoS-based service discovery （QoS-WSD） method, it is proved by the experiment for TQoS-WSD method that more accurate result of service discovery will be achieved by service requestor, while reasonable time cost is increased. Meanwhile, TQoS-WSD method strongly resists the effect of service discovery by untrustworthy QoS values and improves service invocation success-rate and thus assures trustworthiness of services interoperation.

关键词： Quality of service (QoS) trust service discovery service interoperation service invocation success-rate cloud computing.

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Application of discrete artificial bee colony algorithm for cloud task optimization scheduling

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International Journal of Modeling, Simulation, and Scientific computing 2020年第4期11卷 190-200页

作者： Shuai Man Rongjie Yang Langfang Health Vocational College Langfang Hebei 065000P.R.China

The performance of task scheduling algorithm in cloud computing.determines the performance of the cloud *** study mainly analyzed the application of the artificial bee colony(ABC)algorithm in the cloud task *** order to solve the problem of cloud task scheduling,the ABC algorithm was discretized to get the discrete artificial bee colony(DABC)*** the mathematical model of cloud task scheduling was established and solved by the DABC ***,the simulation experiment was carried out,and the performance of first-come-first-served(FCFS),MIN–MIN,ABC and DABC algorithms under different cloud tasks was compared to verify the performance of the proposed *** results showed that the user waiting time of the DABC algorithm was 1210s,the load balance degree was 0.01,and the user payment fee was 1688 yuan when the number of cloud tasks was 500;compared with other algorithms,the user waiting time of the DABC algorithm was shorter,the resource load balance degree was higher,and the overall performance was *** research results verify the effectiveness of the DABC algorithm in solving the problem of cloud task optimal scheduling,and it can be further extended and applied in practice.

关键词： cloud task scheduling artificial bee colony algorithm optimization method cloud computing.

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Research on the Library Enterprise Development Prospects and Challenges under the Environment of Big Data and cloud computing

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International Journal of Technology Management 2015年第9期 77-79页

作者： Chen Zhang Wuhan University of Science and Technology Library Library #947 Heping Avenue Wuhan Qingshan Hubei China

In this paper, we conduct research on the library development prospects and challenges under the environment of big data and cloud computing. Increasingly nervous and public libraries are facing funding, resources construction pace slow or stagnant difficult situation, readers to the library cause in the new times challenge. Big data era has quietly come, for the knowledge storage, use and development as own duty, the library, how to improve the ability of handling large amounts of growth literature is urgent. Our methodology solves the issues well which will be meaningful.

关键词： Library Enterprise Big Data Development Prospects and Challenge cloud computing.

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