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Low Latency, High Performance Data Stream Processing: Systems Architecture, Algorithms and Implementation - Couverture souple

Salehi, Ali

 
9783639240757: Low Latency, High Performance Data Stream Processing: Systems Architecture, Algorithms and Implementation
Couverture souple
ISBN 10 : 3639240758 ISBN 13 : 9783639240757
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Data stream oriented applications are typically dealing with huge volumes of data. Storing data and performing off-line processing on this huge data set can be costly, time consuming and impractical. This work describes our research results while designing and implementing an efficient data management system for on-line and off-line processing of streaming data. We present major existing data stream processing engines, their internal architecture and how they compare to our platform, Global Sensor Network (GSN) middleware. In order to achieve high efficiency while processing large volumes of streaming data using window-based continuous queries, we present a set of optimization algorithms and techniques to intelligently group and process different types of continuous queries. Moreover we present an efficient query scheduling component which not only increases the performance at least by an order of magnitude but also, decreases the response time and memory requirements. Finally, we present techniques and algorithms to enable scalable delivery of streaming data for high data rate streams (e.g., Financial Ticks).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Data stream oriented applications are typically dealing with huge volumes of data. Storing data and performing off-line processing on this huge data set can be costly, time consuming and impractical. This work describes our research results while designing and implementing an efficient data management system for on-line and off-line processing of streaming data. We present major existing data stream processing engines, their internal architecture and how they compare to our platform, Global Sensor Network (GSN) middleware. In order to achieve high efficiency while processing large volumes of streaming data using window-based continuous queries, we present a set of optimization algorithms and techniques to intelligently group and process different types of continuous queries. Moreover we present an efficient query scheduling component which not only increases the performance at least by an order of magnitude but also, decreases the response time and memory requirements. Finally, we present techniques and algorithms to enable scalable delivery of streaming data for high data rate streams (e.g., Financial Ticks).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639240758
ISBN 13 
9783639240757
Reliure
Broché
Nombre de pages
148
Coordonnées du fabricant
non disponible
Personne responsable
non disponible