Advanced Materials Research Vols. 989-994

Abstract: the user behavior analysis is the effective way to enhance the user viscosity, large Internet sites to maintain the flow. meanwhile efficient processing and storage, cloud database test showed that, the system can significantly improve the effect and efficiency of user behavior analysis.

Abstract: Universal Plug and Play (UPnP) is a technology for devices interconnection and resource sharing in the home network. However, the UPnP network has a construct. User can only access local resources within the UPnP network, but user is Unable to access the resources outside the home network such as the resources of the user on the Internet. Now social network is popular, the user has a lot of resources in their own social network. How can the user realize resource sharing on social network to the UPnP network It can make user can easily access to the user’s social resources on the network in their own UPnP home network. We found that most of the social network based on open platform OAuth authorization to third party that call the API to access the resources in social network. We now put forward a solution that is based on the architecture of UPnP AV, we can extend the media server’s function that call the social network open platform API to realize the resources sharing between social network and the UPnP network.

Abstract: Efficient business workflow management in large-scale areas is in great demand. However, current business workflow management systems are short of distributed workflow execution support. In our paper, we design and implement a distributed framework called PeerODE for Apache ODE (Orchestration Director Engine) [1], an open-sourced business workflow engine. PeerODE presents a scalable approach to P2P business process execution. The scheduling experiment on PeerODE shows that the framework handles the distributed business process execution effectively.

Abstract: Nowadays the recommendation system has been widely used, especially in the field of e-commerce, SNS, music, etc. On the basis of recommendation systems which are widely used, the paper puts forward a theatre recommendation algorithm which is more suitable in the field of theatre. In order to achieve the recommendation of theatre, the paper uses a series of steps, including weight, bipartite graph, data standardization, similarity calculation. After using this algorithm, some theatres will be recommended according to recommendation level. The results of recommendation are more reasonable, effective and satisfied.

Abstract: Fully homomorphic encryption has long been regarded as cryptography’s prized “holy grail”–extremely useful yet rather elusive. At 2010 van Dijk et al. described a fully homomorphic encryption scheme over theintegers. The main appeal of this scheme is its conceptual simplicity. This simplicity comes at the expense of a public key size inÕ(λ¹⁰) which is too large for any practical system. The construction is based on the hardness of the approximate-GCD problem. At 2011 Coron et al. reduced the public key size to about Õ(λ⁷) by encrypting with a quadratic form in the public key elements, instead of a linear form. This scheme is based on a stronger variant of the approximate-GCD problem. An implementation of the full scheme was obtained with a 802MB public key. At 2012 Coron et al. described a compression technique that reduces the public key size to aboutÕ(λ⁵). This variant remains semantically secure, but in the random oracle model.A level of efficiency very similar to above scheme was obtained but with a 10.1MB public key instead of a 802MB one.Coron et al. also described a new modulus switching technique for the DGHV scheme that enables to use the new FHE framework without bootstrapping from Brakerski, Gentry and Vaikuntanathan with theDGHV scheme. At present asymptotics of FHE over integers are much better.

Abstract: In this paper was proposed to use latent semantic indexing technology in agricultural knowledge questions and answers system in accordance with the current condition of agricultural knowledge resources in JILIN province and the problems existing in the agricultural knowledge questions and answers system and professional work process. This technology can enhance or reduce the influence on the semantic in the document and can more clear the semantic relationships, retrieve the natural language to some extent, eliminate the interference from identity and polysemantics and obtain better search results.

Abstract: This paper utilizes social network analysis to create a comprehensive evolution system to determine the significance of research papers. Citation network was analyzed from H-index, Impact factor and relative citation rate, which indicates the influence of the author, published journal and the paper on the field respectively. Influence citation network was built visually though transforming the 16 science network paper’s citation multi-value matrix into two-value matrix in UCINET and by analyzing those influence measures, the scores of each paper were calculated and results maps through visualization. The results concern: the paper of Collective dynamics of `small-world' networks laid a foundation on network science. Besides, a general methodology is provided to determine the role or influence measure of academic journals.

Abstract: Cloud services have been explosively popular over the last decade. And data centers play an essential role in providing cloud services. Inside a data center, any server instance has the chance to inject traffic of various applications into the network. Yet how to balance the enormous internal load to make the best of data center network is a highly prioritized problem to be solved. To provide balanced traffic in data centers, this paper proposes an OpenFlow-based GLB load balancing algorithm in data center fat-tree networks. GLB uses a path-related weight to select path. This weight indicates how balanced of a path. We implement GLB algorithm as a module in an openflow controller platform, POX. On the self-defined modified mininet emulation platform, we conduct experiments in a fat-tree topology environment running random traffic to generate performance data. Experiment results demonstrate that our proposed GLB algorithm outperforms DLB algorithm in terms of load balancing.

Abstract: The Digital Library has begun to enter the cloud computing era after experienced the Internet era, This paper constructed a cloud services plat form of digital library based on cloud computing technology, then described the service processes and the operating mechanism of the digital library cloud services plat form.

Abstract: the dramatically increased flexibility afforded by the Internet in business-to-business transactions also presents steep challenges in merging information coming from so many sources. B2B marketplaces, which function as an intermediate communications layer, reduce the number of mappings needed .