机构地区:[1]State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, PRC [2]School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, PRC [3]School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, PRC
出 处:《International Journal of Automation and computing》2011年第3期297-308,共12页国际自动化与计算杂志(英文版)
基 金:supported by National Basic Research Program of China (973 Program) (No. 2007CB310801);National Natural Science Foundation of China (No. 60873083, No. 60803025, No. 60970017, No. 60903034, No. 60873225);Natural Science Foundation of Hubei Province for Distinguished Young Scholars (No. 2008CDB351);Natural Science Foundation of Hubei Province (No. 2008ABA358, No. 2008ABA379);Research Fund for the Doctoral Program of Higher Education of China (No. 20070486065);Open Foundation of State Key Laboratory of Software Engineering (No. SKLSE20080718)
摘 要: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.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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