Abstract: Integrating sensor networks and grid computing in sensor-grid computing is like giving ‘eyes’ and ‘ears’ to the computational grid. Real-time information about phenomena in the physical world can be processed, modelled, correlated and mined to permit on-the-fly decisions and actions to be taken on a large scale. Examples include environment monitoring with prediction and early warning of natural disasters, and missile detection, tracking and interception. We describe some early work in sensor-grid computing, and discuss the research challenges that need to be overcome before such a vision can become reality, such as web services and service discovery, interconnection and networking, coordinated quality of service (QoS) mechanisms, robust and scalable distributed algorithms and efficient querying.
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