共查询到18条相似文献,搜索用时 171 毫秒
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针对服务不透明性、信任需求主观性及移动参与者连接机会性对面向服务移动社交网络中可信服务组合带来的问题,提出基于信任的分布式服务组合方法.该方法基于格模型建立分布式服务信任评估框架,分别在组件和组合级评估服务信任度以避免不可信的数据传输;通过分析服务依赖关系,实现满足全局和局部信任约束可信服务选择;基于蒙特卡洛方法建立可信路径选择、优化和容错算法传输服务评估调用信息.实验结果表明所提方法在服务评估开销低,在路径选择成功率和信任度高,是适应面向服务移动社交网络的服务组合方法. 相似文献
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可信服务组件选择是实现分布式虚拟化环境下服务可信性保障的关键.将服务组件选择抽象为多限制优化路径问题后,可以通过搜索信任路径来选择服务组合所需组件,但现有的信任路径搜索算法计算复杂度过高、性能表现差,同时在建立可信服务组件选择模型时缺少从服务组件信任关系和证据传播的角度出发,对可信服务构建与组合过程中服务组件社会关系方面考虑.针对以上不足,本文提出可信质量QoD概念,引入组件亲和度等属性来对分布式虚拟化环境可信服务组件选择模型加以描述与限制,并设计一种基于QoD的启发式优化信任服务路径搜索算法HA_OTPS,选择优化信任服务路径上的服务组件来满足用户可信性需求.实验结果表明,与现有的信任路径搜索算法相比,HA_OTPS算法具有运行时间较短、搜索结果效用值较高等优势. 相似文献
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在P2P网络中,现有的信任模型中的反馈评价只是对服务质量简单评价,不能准确反映该节点的其他方面.不同的节点关注的反馈评价不同,信任模型不仅需要对服务可信度进行评价,还要对用户关心的其他问题进行评估.由于实验基于文件共享系统,我们将从文件可信度、带宽、服务过程、性能等方面计算出节点的信任值,在保证节点可信的情况下,根据用户的侧重点不同,其值有较大的不同.仿真实验表明,该模型不仅能够有效的抵御恶意攻击,而且能够满足用户的偏好需求,并且提供的评价更加客观、真实. 相似文献
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A multidimensional cloud computing architecture is designed and a multidimensional cloud resource scheduling model is constructed based on the stakeholder perspective of cloud users and cloud service providers to meet the high QoS requirements of cloud users (such as task execution time and task completion time) with low computing costs (such as energy consumption,economic costs and system availability).For the second-level cloud resource scheduling,an MQoS cloud resource scheduling algorithm based on multiple Greedy algorithm is proposed.The experimental results show that under the four cloud computing application scenarios with no aftereffects,the MQoS cloud resource scheduling algorithm has an overall increase of 206.42%~228.99% and 34.26%~56.93 in terms of multidimensional QoS degree compared with FIFO and M2EC algorithms.It has an average overall reduction of 0.48~0.49 and 0.20~0.27 in terms of cloud data center load balance difference. 相似文献
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云计算为代表的新型计算模式以灵活的"服务合约"为核心商业特征,通过动态整合各类云服务为用户提供不同粒度的增值服务.但是传统以QoS(Quality of Service,服务质量)为核心约束的服务组合方法,无法满足用户对服务服务质量的深层要求,即对服务信任程度的规范.为此本文提出了一种基于信任合成的云服务动态组合方法,该方法通过定义云服务的信任属性,将其分解为基础信任和经验信任的集合.将基础信任评价问题建模为云服务属性判断问题,利用Bayes合情推理分析了属性不可穷举情况下基础信任的审定与反驳.将经验信任评价问题建模为云服务交互行为判断问题,利用Chebyshe和Bernstein定理给出经验信任的置信度,进而为经验信任的量化提供依据.实验结果表明,本文所提出的方法可以在持续变化的云环境下有效地组织和提供云服务,进而满足新型计算模式动态多样化应用需求. 相似文献
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Mobile cloud computing combines wireless access service and cloud computing to improve the performance of mobile applications. Mobile cloud computing can balance the application distribution between the mobile device and the cloud, in order to achieve faster interactions, battery savings and better resource utilization. To support mobile cloud computing, the paper proposes a phased scheduling model of mobile cloud such that mobile device’s users experience lower interaction times and extended battery life. The phased scheduling optimization is solved by two subproblems: mobile device’s batch application optimization and mobile device’s job level optimization. At the first stage, the mobile cloud global scheduling optimization implements the allocation of the cloud resources to the mobile device’s batch applications. At the second stage, mobile device’s job level optimization adjusts the cloud resource usages to optimize the utility of single mobile device’s application. In the simulations, compared with other algorithm, our proposed mobile cloud phased scheduling algorithms achieve the better performance with acceptable overhead. 相似文献
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As a new computing mode,cloud computing can provide users with virtualized and scalable web services,which faced with serious security challenges,however.Access control is one of the most important measures to ensure the security of cloud computing.But applying traditional access control model into the Cloud directly could not solve the uncertainty and vulnerability caused by the open conditions of cloud computing.In cloud computing environment,only when the security and reliability of both interaction parties are ensured,data security can be effectively guaranteed during interactions between users and the Cloud.Therefore,building a mutual trust relationship between users and cloud platform is the key to implement new kinds of access control method in cloud computing environment.Combining with Trust Management(TM),a mutual trust based access control(MTBAC) model is proposed in this paper.MTBAC model take both user's behavior trust and cloud services node's credibility into consideration.Trust relationships between users and cloud service nodes are established by mutual trust mechanism.Security problems of access control are solved by implementing MTBAC model into cloud computing environment.Simulation experiments show that MTBAC model can guarantee the interaction between users and cloud service nodes. 相似文献