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 eBook
• Language: English
• Published: Boston, MA : Springer US, 2009.
• Series: Advances in Database Systems, 36
• Subjects: Computer science.; Computer communication systems.; Data structures (Computer science).; Database management.; Information storage and retrieval.; Multimedia information systems.; Computer Science.; Data Structures, Cryptology and Information Theory.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Computer Communication Networks.; Multimedia Information Systems.

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:

• 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
• NFMi: AN INTER-DOMAIN NETWORK FAULT MANAGEMENT SYSTEM
• INTEGRATING STREAM AND COMPLEX EVENT PROCESSING
• MavStream: DEVELOPMENT OF A DSMS PROTOTYPE
• INTEGRATING CEP WITH A DSMS
• CONCLUSIONS AND FUTURE DIRECTIONS.