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Earthquake analysis and monitoring requires complex processing of raw data acquired from several kind of sensors or extracted from data repositories. Management and processing of huge amount of data produced by different sources, i.e. remote sensing and measurement stations of ground and atmospheric physical parameters, the complexity of the environmental models adopted to understand observed phenomena,...
Grid computing allows integration of geographically distributed resources, belonging to different organization, to obtain huge computational power and data management capability that usually cannot be owned by a single computational system. Utilization of this powerful technology is mainly conditioned by tricky management of different architectures and environments and by the difficulty to identify...
Environments that integrate network computer into global computing resources have been studied since the development of Internet. In order to provide a platform independent approach to high-performance network computing, several Java-based implementations have been developed. Java overcomes the issue of maintaining different binary codes, multiple execution environments, and complex architectures...
Environmental monitoring requires that raw data acquired from sensors and/or data repositories be transformed, by scientific analysis, into assessments of current ecosystem conditions and in evolution trends in time and space. The huge data amount produced by different sources, the complexity of the environmental models adopted and the necessary distributed collaboration between scientists and government...
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