Depth-first search and linear grajh algorithms
SWAT '71 Proceedings of the 12th Annual Symposium on Switching and Automata Theory (swat 1971)
DRAM errors in the wild: a large-scale field study
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Event-Driven Approach for Logic-Based Complex Event Processing
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 01
Proceedings of the 5th ACM international conference on Distributed event-based system
Low-Overhead Fault Tolerance for High-Throughput Data Processing Systems
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Active Replication at (Almost) No Cost
SRDS '11 Proceedings of the 2011 IEEE 30th International Symposium on Reliable Distributed Systems
Scalable and Real-Time Deep Packet Inspection
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
| Hi-index | 0.00 |
Modern Complex Event Processing (CEP) systems often need an high degree of customization in order to implement required application logic. The use of declarative languages, such as CQL, often leads to complicated and hard to maintain application code. In this demo, we show how state machine-based CEP operators help to cope with these problems. State machine-based CEP operators allow for a high flexibility as well as a re-usability of application logic components. A major benefit of the presented solution is its easy integration with existing streaming engines, which we demonstrate using StreamMine, a highly parallel and faulttolerant streaming engine prototype. In this demo we show: (1) how state machine-based operators allow for an easy definition of custom, reusable CEP operators, (2) how resulting state machines can be easily combined with existing faulttolerance techniques within StreamMine and (3) how the resulting CEP applications can be tested in a cost efficient way.