Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems)

Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems)
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Stream Data Processing: A High quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems) Description

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The system used to process information streams and to support applications based on flows are Datastream Systems Management (DSMSs). This book presents a new paradigm to meet the requirements of these applications, such as a detailed discussion of the proposed strategies. It covers essential aspects of a DSMS motor QoS (Information Stream Management System) and for applications where DSMS may well be used to discuss the requirements beyond the stream processing model. It also examines in detail the style and implementation of MavStream. This volume is primarily created as a reference book for researchers and advanced students in computer science. It is also suitable for practitioners in business who are interested in creating applications. Stream Information Processing: A Good quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems)

\n\nStream Data Processing: A Top quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems) Ebook

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