Papers by Keyword: Cloud Computing

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Authors: Ling Yu
Abstract: This paper introduces the IT environment of cloud computing, and how cloud computing service for teaching, " Public Relations " course , for example, the use of Google's cloud computing services builds courses platform, offers a set of comprehensive , actionable curriculum design. The program, for the course network platform design, project settings, and classroom activities designed Showcase and peer assessment, curriculum resources, and learning evaluation, etc. makes concrete workable plan.
Authors: Su Zhen Wang, Liu Wei, Zhi Juan Du
Abstract: Trust management is one of the most challenging issues in the emerging cloud computing. A distributed way is adopted to manage and store trust feedbacks data. We propose a credibility-based trust management model that not only distinguishes between credible trust feedbacks, but also has the ability to detect the malicious trust feedbacks from attackers .On this basis, we also present a replication determination model that dynamically decides the optimal replica number of the trust management service so that the trust management service can be always maintained at a desired availability level. The research results have been validated by experimental results.
Authors: Pu Liu
Abstract: With the rapid development and extensive application of network technology, the concept of IOT (Internet of Things) is coming into view. Through information sensing device, according to the agreed protocol, IOT can connect anything to the Internet and to achieve the exchange of information and intelligence management. This paper elaborates the core technologies of the IOT, describes the application of IOT, analyzes the three major issues of IOT development constraints, and makes a few comments to promote the development of IOT.
Authors: Wen Zhe Jiao, Xiao Xue Ye
Abstract: Cloud computing is revolutionizing how resources and services are used and managed, but the revolution comes with new security problems. This paper identifies current security issues in cloud computing environments. To manage service security, we propose a new architecture based on Service Level Agreements (SLAs). To ensure the integrity of data service and relieve the security concerns of users, we implement a new data auditing algorithm in this architecture. Furthermore, we present four-layer cryptography analysis to ensure data security.
Authors: Wu Xue Jiang, Hui Hu, Peng Fei Yin, Jian Feng Luo
Abstract: Cloud computing is a new-type of computing model. This paper deeply expounded the key technology of virtualization and cloud computing through theoretical analysis and practice research on cloud computing and its architecture. Then, it proposed a common cloud computing architecture model based on virtual environment, which consisted of layers of data center, cloud file system, computing model, data management, and application development. In addition, it realized a cloud computing platform based on Hadoop.
Authors: Fei Wu, Hong Wang
Abstract: Nowadays in China, when the patients change medical institutions for treatment, the lack of clinical information sharing may result in loss of information, misdiagnoses, repetitive drug prescriptions, etc. This makes high cost and low efficiency, especially medical security problems. To solve this problem, this paper presents a novel cloud platform for clinical information exchange between medical institutions based on web services; Data exchanges are using web services based on encrypted and compressed XML for interoperability and privacy. our architecture satisfies many requirements of medical institutions in China. Finally, we have developed a prototype that clinical information is shared between dozens of military hospitals.
Authors: Wei Hong Wang, Yan Mei Hao, Yu Hui Cao, Liang Li
Abstract: Wiki system is an important application using Wiki technology for knowledge sharing on internet nowadays. Existing Wikipedia system have been developed with distributed collaboration ability, which most of them cant support mobile and real-time collaboration. In this paper, a novel real-time mobile collaboration WiKi system based on cloud was presented. At first, the real-time request of user group in cloud-based mobile collaboration WiKi system was discussed, and group pattern for mobile collaboration Wiki system (GPMCW) was constructed in mobile cloud environment. After that, the multiple layered Web architecture oriented mobile cloud environment was proposed. Then, the instance of cloud-based real-time mobile collaboration WiKi system (RMCWS) was given. To demonstrate the feasibility of system, a prototype system named mobile group collaboration supporting platform (MGCSP) has been constructed based on it. Practice shows that RMCWS is robust and efficient for supporting real-time mobile group collaboration, and has a good ability to idea-sharing and knowledge communication for the people.
Authors: Rang Yong Zhang, Geng Ma, Guang He Cheng
Abstract: CNC equipment distributed monitoring system based on cloud computing technology provides a sable and reliable remote real time monitoring system to monitoring a mount of CNC equipment distributed in a large wide area by wireless network and GPRS communication technology which can be used to remote diagnostics and improve service respond speed.
Authors: Wen Xin Hu, Jun Zheng, Xia Yu Hua, Ya Qian Yang
Abstract: For several special features in the environment of cloud computing, which may be quite different from the centralized computing infrastructure currently available, the existed method of resource allocation used in the grid computing environment may not be suitable for these changes. In our paper, a new allocation algorithm based on Ant Colony Optimization (ACO) is proposed to satisfy the needs of Infrastructure as a Service (IaaS) supported by the cloud computing environment. When started, this algorithm first predicts the capability of the potentially available resource nodes; then, it analyzes some factors such as network qualities and response times to acquire a set of optimal compute nodes; finally, the tasks would be allocated to these suitable nodes. This algorithm has shorter response time and better performance than some of other algorithms which are based on Grid environment when running in the simulate cloud environment. This result is verified by the simulation in the Gridsim environment elaborated in the following section.
Authors: Jie Ding, Hai Yun Han, Ai Hua Zhou
Abstract: Data-Intensive applications in power systems often perform complex computations which always involve large amount of datasets. In a distributed environment, an application may needs several datasets located in different data centers which faces two challenges including the high cost of data movements between data centers and data dependencies within the same data centers. In this paper, a data placement strategy among and within data centers in a cloud environment is proposed. Datasets are placed in different centers by a clustering scheme based on the data dependencies. And within the center, data is partitioned and replicated using consistent hashing. Simulations show that the algorithm can effectively reduce the cost of data movements and perform a evenly data distribution.
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