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Abstract: In SaaS, most tenants rely on the service provider for data maintenance and computation. As tenants no longer possess their application and data locally, it is of critical importance for the tenants to ensure that their data are being cor-rectly stored and maintained. However

The paper starts with a generic discussion on the cloud application services and security concerns then expands the concepts with 3 main data management approaches of multi-tenant data management. After that paper describes reference architecture including standard cloud computing taxonomy for meta

Abstract. Cloud computing promotes economies of scale by sharing soft-ware and hardware resources across multiple tenants. To date, there has been relatively little research on how MDE can best support multi-tenant cloud ap-plications, where there is a need to separate the logic and data

In this paper we show that application-aware adaptation, a collaborative partnership between the operating system and applications, offers the most general and effective approach to mobile information access. We describe the design of Odyssey, a prototype implementing this approach, and show how

and computational risk management to sustain Service Level Agreement (SLA)-oriented resource allocation. In addition, we reveal our early thoughts on interconnecting Clouds for dynamically creating global Cloud exchanges and markets. Then, we present some representative Cloud platforms, especially those developed

them to the system and locates them accurately in three dimensions. The platform builds a dynamic model of the environment using these location sensors and resource information gathered by telemetry software, and presents it in a form suitable for application programmers. Use of the platform

Abstract: We have developed a toolbox and graphic user interface, EEGLAB, running under the cross-platform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event

There has been a great interest in exploiting the cloud as a platform for database as a service. As with other cloud-based services, database services may enjoy cost efficiency through consolidation: hosting multiple databases within a single physical server. Aggressive consolidation, however, may