-In this paper, we describe the implementation of a distributed data retrieval and processing strategy enabled by using grid computing technologies and applied to distributed collaborative adaptive sensing environments. Underlying the grid computing and storage infrastructure there is a data dispersion algorithm to guarantee pervasive data management. Experimental results show that the proposed framework integrates successfully radar networks to grid infrastructures, while providing higher resources utilization than typical storage strategies.
This paper describes a tool that implements a set of services to manipulate and store data from a sensor network in a transparent way to end users. A major requirement of this system is data availability and reliability. Consequently, we have implemented a replication schema based on the Information Dispersal Algorithm (IDA). Preliminary results show that the IDA based replication provides better reliability and less storage spending than traditional replication. The storage scheme has been deployed on top of a Globus based infrastructure.Index Terms-Distributed storage, information dispersal, grid computing, service oriented architecture.
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