Stream Data Processing A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing

Author/creator Chakravarthy, Sharma Author
Other author Jiang,Qing Chun Author
Format Electronic
Publication InfoGuildford : Springer London, Limited Ipswich : Ebsco Publishing [Distributor]
Descriptionxxi, 324 p. ill
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2009 English International
Subjects

Summary Annotation Database management systems (DMBSs) are widely used in applications that require persistent storage and processing of ad hoc queries to manage and process a large volume of data. These include finance applications, computer network management applications, telecommunication applications, homeland security applications, sensor/pervasive computing applications and environmental monitoring applications. These applications produce data continuously. The data is typically presented in the form of a data stream. A new paradigm needs to be developed to meet the needs of these applications. Stream Data Processing: Issues and Solutions provides a complete overview of this new paradigm, along with a detailed discussion of the techniques proposed. Stream Data Processing: Issues and Solutions is intended for researchers, upper-undergraduate and graduate-level students in computer science as a reference book. This volume is also appropriate for practitioners in industry, who are interested in developing applications.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9780387710037
ISBN0387710035 (E-Book) Active Record
Stock number00325391