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ith the wide deployment of various kinds of sensors in fixed infrastructures and in mobile devices, technologies and applications of crowd-sensing has drawn attentions in the fields of mobile computing. This paper studies the design of frameworks for crowd-sensing process in a distributed environment. We discuss the realization of the compatibilities of devices and services, as well as the algorithms...
Increased availability of wearable devices, smart phones establishes a platform for designing innovative distributed crowd sourcing mobile applications. These applications can take advantage of computation offloading to augment the constrained resources and unavailability of required context on single mobile device. ContextMete is an offloading architecture that execute such applications across the...
In this paper, we propose a context-aware distributed data storage mechanism to optimize the performance of reading/writing in the emerging mobile cloud computing environment. In particular, the exploited context information including user mobility pattern, network condition, and data access preference (intensity to read and write/update). The context information is utilized to improve the efficiency...
Context services typically provide infrastructure support for collection, management, and dissemination of context information concerning a number of subjects. Subjects may be users, objects such as handheld devices and equipment, or the environment of users. We propose, in this paper, a federation of cloud-based context brokers for context services selection. Context Brokers (CBs) of the federation...
Context is information that describes the situations in which computing, social and physical interactions take place. The complexity and scope of context information available for utilization by context-consuming applications, such as those executing on smart mobile devices, sensing and tracking platforms, etc. is growing with the increased integration of digital artifacts in smart environments. Similarly,...
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