Sensor Grid Middleware Metamodeling and Analysis

Sensor Grid Middleware Metamodeling and Analysis

Grid Enabled Metamodeling

The process of simulating and optimizing complex mechanical and electronical systems is a very time consuming and computationally intensive task. As a result, metamodeling techniques are often used for the efficient exploration of the design space, as they reduce the number of simulations needed. However, conventially such metamodels are constructed sequentially, without exploiting inherent par...

A Novel Power-Efficient Middleware Scheme for Sensor Grid Applications

Sensor grid deployments integrate wireless sensor networks (WSNs) and Grid Computing (GC) into a merged platform. A middleware architecture is a prerequisite for sensor grids in order to bridge the two heterogeneous technologies and efficiently support aggregated grid services available to a large number of grid users. On the other hand, the energy conservation of the participating sensor nodes...

Scheduling in Sensor Grid Middleware for Telemedicine Using ABC Algorithm

Advances in microelectromechanical systems (MEMS) and nanotechnology have enabled design of low power wireless sensor nodes capable of sensing different vital signs in our body. These nodes can communicate with each other to aggregate data and transmit vital parameters to a base station (BS). The data collected in the base station can be used to monitor health in real time. The patient wearing ...

Grid middleware in China

Grids aim at constructing a virtual single image of heterogeneous resources and provide uniform interface for distributed internet applications. China also devotes much passion and endeavour to the evolution of grid projects. Based on the experience in building and enhancing Chinese grids in collaboration with colleagues from around the globe, it is important to choose grid technologies that su...