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With the development of the network data and use the change of demand, extension from cloud computing cloud storage become the research focus and hot spot. This paper mainly introduces the characteristics of cloud storage technology, and analyze the hierarchical structure of the cloud storage service, and then analyzing the data storage structure of the cloud storage service, emphasis on reliability...
The European VPH-Share project develops a comprehensive service framework with the objective of sharing clinical data, information, models and workflows focusing on the analysis of the human physiopathology within the Virtual Physiological Human (VPH) community. The project envisions an extensive and dynamic data infrastructure built on top of a secure hybrid Cloud environment. This paper presents...
In the recent years, cloud computing has emerged as the new IT paradigm that promises elastic resources on a pay-per-use basis. The challenges of cloud computing are focused around massive data storage and efficient large scale distributed computation. Hadoop, a community driven Apache project has provided an efficient and cost effective platform for large scale computation using the map-reduce methodology,...
Cost and scalability benefits of Cloud storage services are apparent. However, selecting a single storage service provider limits availability and scalability to the selected provider and may further cause a vendor lock-in effect. In this paper, we present MetaStorage, a federated Cloud storage system that can integrate diverse Cloud storage providers. MetaStorage is a highly available and scalable...
The proliferation of Data as a Service (DaaS) available on the Internet and offered by cloud service providers indicates an increasing trend in providing data under Web services in e-science and business domains. While data usage and selection are dependent on different constraints established on the basis of several data concerns, for example, quality of data and data privacy, existing data service...
Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged,...
The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semi-structured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable...
Digital preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives are increasingly faced with the need to electronically preserve vast amounts of data while having limited computational resources in-house. However, due to the potentially immense data sets and computationally intensive tasks...
In this paper we describe how the grid computing resource brokering approach, classically divided into matchmaking discovery and optimize selection, is applied to five dimensional environmental data distribution. This result is achieved thanks to the integration of a resource broker service we developed from scratch. This service implements the key feature of autonomic mapping of Globus toolkit index...
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