The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Issues in data stream management
ACM SIGMOD Record
Enabling autonomic behavior in systems software with hot swapping
IBM Systems Journal
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
What is "next" in event processing?
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Dynamic C++ classes: a lightweight mechanism to update code in a running program
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
Learning from Data Streams: Processing Techniques in Sensor Networks
Learning from Data Streams: Processing Techniques in Sensor Networks
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Softwares for production systems are facing challenges due to rapidly changing requirements and huge amount of data from different sources. Data stream systems are utilized to process the large quantity of data using stored queries. Since the downtime needs to be avoided, the data processing system must not be restarted. Consequently, a major challenge is the modification of running queries during the operation. We developed a data stream processing middleware, that is capable of changing process in parallel with the runtime. The middleware applies a three step procedure to implement changes. The original elements are duplicated, modified and finally reintegrated into the running process. A special focus is on state preservation during the reintegration phase. We evaluated our method by implementing a prototype. It provides a testbed for our future research and investigations.