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According to the virtualization technology of cloud computing, it can solve the problems that the electronic cash systems exist leakage of privacy, non-standard transactions and high cost in the traditional network. In the existing work, considering merchants and customers used the same bank to restrict the widespread use of electronic cash in a certain degree, the paper presented an multi-bank electronic cash payment scheme for trusted cloud platform based on TPM. Considering the efficiency and security from the electronic cash payment of the scheme, the scheme used the group signature and elliptic curve algorithm ECC to improve the execution efficiency of the protocol, and used the privacy protection and remote attestation function of TPM to achieve security. Finally, the paper analyzed the safety and efficiency of the scheme. [ABSTRACT FROM AUTHOR]

To solve the problems of logistics park logistics resources elements dispersed and logistics services co-allocation, this paper put forward a new logistics park model of logistics services--cloud logistics services. It abstracted all kinds of customer resources and logistics resources of the park into virtual cloud services to establish the cloud service platform, and analysed and designed the system architecture. According to the task environment of the industrial park supply chain operation node to introduce the context-aware analysis model, and set up the dynamic combination and allocation mechanism which faced the park task context adaptive logistics service resources. Related research explored a new path based on the "push strategy" logistics service, which provided personalized and secure and efficient many-to-many logistics service. [ABSTRACT FROM AUTHOR]

This paper proposed an adaptive fault detection method to protect the reliability of cloud system. Firstly, it exacted the cloud metric using the incremental metric search algorithm and the metric space separation technology, which could obtain the best metric for characterizing the cloud behavior and the health status such as the maximal relevance criterion and the minimal redundancy criterion. And then mapped the data point of cloud metric into the kernel space to reduce the dimensionality by using the minimum enclosing sphere formulation. Finally, input the low-dimensional data into the fault detector, which generated a smallest enclose spherical with accommodating data in the kernel space to identify the potential failure. If the fault history could not be obtained, the fault detector would find the other states different from the cloud health status to identify the failure. The cloud operators verified and confirmed the detection results as either true failures or normal states (false alarms). It have implemented a prototype of the fault detection system and conducted experiments in an on-campus cloud computing environment. The experimental results show that the method can achieve more efficient and accurate failure detection than other existing schemes. [ABSTRACT FROM AUTHOR]

This paper presented a novel ubiquitous knowledge cloud model based on Cloud-P2P network platform, which organized the various types of documents, knowledge orderly together, and took full account of the available resources of network edge. In the premise of protecting user's experience, the model made the tasks about knowledge requirement submitted from users migrate from the network servers to the nodes of network edge. To further improve the users' satisfaction, it proposed a new dynamic complex adaptive quality of service protection mechanism, which provided an effective solution of the problem of server performance bottleneck in peak time existing in the traditional knowledge systems through differentiating the different types of users and setting the threshold of server load. [ABSTRACT FROM AUTHOR]