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Cloud computing is growing rapidly due to its features of low cost, space saving, sharing etc., yet security issues are still a major concern. Multi-cloud computing technology was developed, in part, to address security concerns. One technique could use the Shamir's secret sharing method which is based on risk diversification. This work offers a solution strategy allowing users to allocate their resources...
Cloud computing enables end-users to outsource their dataset and data management needs to a third-party service provider. One of the major security concerns of the outsourcing paradigm is how to protect sensitive information in the outsourced dataset. In general, the sensitive information can be protected by encryption. However, data dependency constraints in the outsourced data may serve as adversary...
The rapid deployment of cloud computing provides users with the ability to outsource their data to public cloud for economic savings and flexibility. To protect data privacy, users have to encrypt the data before outsourcing to the cloud, which makes the data utilization, such as data retrieval, a challenging task. It is thus desirable to enable the search service over encrypted cloud data for supporting...
With the widespread adoption of Cloud computing system, more and more application services based on cluster computing adopt this new computing paradigm. Live snapshot technology is usually used to ensure the reliability of data and high availability of the running virtual machines. This technology is essential to bring abilities of fault recovery and rollback to virtual clusters. Existing virtual...
Cloud computing has emerged as a new computing paradigm which is adopted by more and more application services based on cluster computing. Live snapshot technology is usually used to ensure the reliability of data and high availability of the running virtual machines. However, existing virtual machine live snapshot technologies are not enough to minimize the downtime induced by taking live snapshot...
Big data analysis is very hot in cloud computing environments. How to automatically map heterogeneous data with the same semantics is one of the key problems in big data analysis. A big data clustering method based on the MapReduce framework is proposed in this paper. Big data are decomposed into many data chunks for parallel clustering, which is implemented by Ant Colony. Data elements are moved...
Recently, there have been many mobile value-added services in the Chinese mobile telecommunication market nowadays. Among them, the characteristics of Multimedia Messaging Service (MMS) have not yet been fully understood. In this paper, with the help of a cloud computing platform, we investigated the flow-level characteristics of Chinese MMS. All of the experimental data were collected by the TMS...
IT industry is both fundamental and strategic to a country's economy, and it will continue to play a critical role in industry upgrade and economic development in the foreseeable future. The future of IT industry lies in cloud computing. In recent years, many countries in the world respond enthusiastically to cloud computing. The U.S., Japan and European countries have created strategies to develop...
Infrastructure-as-a-service (IaaS), it is typically a platform virtualization environment as a service, which deploys IT infrastructure as virtual machines in a provider's data center. There are many open source cloud platforms such as Eucalyptus, Open Nebula, oVirt, Enomaly ECP etc, that can help to transform enterprises' or organizations' existing IT infrastructure into a private or hybrid cloud...
Recently the research community has believed that an e-learning ecosystem is the next generation e-learning. However, the current models of e-learning ecosystems lack the support of underlying infrastructures, which can dynamically allocate the required computation and storage resources for e-learning ecosystems. Cloud computing is a promising infrastructure which provides computation and storage...
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