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Biosurveillance grid: evaluation of the distribution of biosurveillance data across multiple computers
Ming-Chi Tsai1, Fu-Chiang Tsui
1RODS Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Abstract:
Storing public health data in a centralize location for biosurveillance can be expensive and susceptible to server down time. We compared the performance of a distributed data grid against a centralized database to determine if a grid framework can provide fast, reliable, and inexpensive biosurveillance system. The results demonstrated that the distributed data grid had close performance with a high-end centralized system, suggesting that a grid framework can be a solution for low-cost, decentralized system.
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