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

• Main Authors: Jiang, Qingchun. (Author), Chakravarthy, Sharma. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US, 2009.
• Series: Advances in Database Systems, 36
• Subjects: Computer science.; Computer Communication Networks.; Database management.; Information storage and retrieval systems.; Information systems.; Multimedia systems.; Computer Science.; Multimedia Information Systems.; Information Systems Applications (incl.Internet).; Information Storage and Retrieval.; Database Management.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-71003-7

Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming in the form of a stream and in addition, meet s...

Table of Contents:

• Preface
• Introduction
• Overview of Data Stream Processing
• DSMS Challenges
• Literature Review
• Modeling Continuous Queries over Data Streams
• Scheduling Strategies for CQs
• Load Shedding in Data Stream Management Systems
• NFM-i: An Inter-Domain Fault Management System
• Architecture for Integrating Stream and Complex Event Processing
• MavStream: Design and Implementation of a DSMS Prototype
• MavEStream: Design and Integration of CEP with a DSMS
• Conclusions and Open Problems
• References
• Index.