Data Stream Sharing

Recent developments in novel application areas like e-science, e-health,\\ and e-business demonstrate the increasing importance of processing \\ data streams on-the-fly instead of storing the ever increasing amount of, e.g., \\sensor generated data prior to processing. Efficient processing of \\data streams can be achieved by employing optimization techniques \\like in-network query processing and multi-subscription optimization, \\thus enabling data stream sharing in data stream management systems (DSMSs). \\On the basis of existing infrastructures for distributed computing \\like peer-to-peer (P2P) networks and grid computing standards (OGSA), \\we present a novel approach for optimizing the integration, distribution, and \\execution of newly registered continuous queries over data streams in \\grid-based P2P networks. We introduce Windowed Xquery (WXQuery), our XQuery-based subscription language for continuous queries \\over XML data streams supporting window-based operators. \\Concentrating on filtering and window-based aggregation, \\we present our stream sharing algorithms, describe our grid-based P2P implementation in the StreamGlobe project, \\and show experimental evaluation results from the astrophysics application domain to assess our approach.     «

Recent developments in novel application areas like e-science, e-health,\\ and e-business demonstrate the increasing importance of processing \\ data streams on-the-fly instead of storing the ever increasing amount of, e.g., \\sensor generated data prior to processing. Efficient processing of \\data streams can be achieved by employing optimization techniques \\like in-network query processing and multi-subscription optimization, \\thus enabling data stream sharing in data stream management syst...     »