01554 - 8 - Fundamentals of Stream Processing : Application Design , Systems
نویسندگان
چکیده
منابع مشابه
Design Tools for Dynamic, Data-Driven, Stream Mining Systems
Title of dissertation: DESIGN TOOLS FOR DYNAMIC, DATA-DRIVEN, STREAM MINING SYSTEMS Kishan Palintha Sudusinghe, Doctor of Philosophy, 2015 Dissertation directed by: Professor Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering and Institute for Advanced Computer Studies The proliferation of sensing devices and costand energy-efficient embedded processors has contributed to...
متن کاملTitle of dissertation : DESIGN TOOLS FOR DYNAMIC , DATA - DRIVEN , STREAM MINING SYSTEMS
Title of dissertation: DESIGN TOOLS FOR DYNAMIC, DATA-DRIVEN, STREAM MINING SYSTEMS Kishan Palintha Sudusinghe, Doctor of Philosophy, 2015 Dissertation directed by: Professor Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering and Institute for Advanced Computer Studies The proliferation of sensing devices and costand energy-efficient embedded processors has contributed to...
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Utilization of fossil fuel for supplying of requires energy of desalination systems is common. On the other hand, solar energy is one of the high-grade energies in the world that can be found specifically in hot weather places. Therefore, utilization of solar energy for operation of desalination systems will reduce greenhouse gases and is a good alternative way. Common exergy analysis method (s...
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Typical training simulation systems adopt distributed network architecture designs composed of personal computers because of cost, extensibility, and maintenance considerations. In this design, the functions of the entire system are easily affected by failures or errors from any computer during operation. Thus, adopting appropriate fault-tolerance processing mechanisms to ensure that the normal...
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Techniques for efficient and distributed processing of huge, unbound data streams have made some impact in the database community. Distributed data stream processing systems have emerged providing a distributed environment to process these potentially unbound streams of data by a set of processing nodes. A wide range of real-time applications process stream-based data. Sensors and data sources,...
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