Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Design and evaluation of a wide-area event notification service
ACM Transactions on Computer Systems (TOCS)
Exploitng event stream interpretation in publish-subscribe systems
Proceedings of the twentieth annual ACM symposium on Principles of distributed computing
The JEDI Event-Based Infrastructure and Its Application to the Development of the OPSS WFMS
IEEE Transactions on Software Engineering
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
Supporting Reliable Transactional Business Processes by Publish/Subscribe Techniques
TES '01 Proceedings of the Second International Workshop on Technologies for E-Services
Efficient Content-Based Event Dispatching in the Presence of Topological Reconfiguration
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Total order broadcast and multicast algorithms: Taxonomy and survey
ACM Computing Surveys (CSUR)
Locality aware dynamic load management for massively multiplayer games
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Comparing interest management algorithms for massively multiplayer games
NetGames '06 Proceedings of 5th ACM SIGCOMM workshop on Network and system support for games
Top-k/w publish/subscribe: finding k most relevant publications in sliding time window w
Proceedings of the second international conference on Distributed event-based systems
Decentralized message ordering for publish/subscribe systems
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Persistence in massively multiplayer online games
Proceedings of the 7th ACM SIGCOMM Workshop on Network and System Support for Games
Mammoth: a massively multiplayer game research framework
Proceedings of the 4th International Conference on Foundations of Digital Games
Preference-aware publish/subscribe delivery with diversity
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Multilevel Predictions for the Aggregation of Data in Global Sensor Networks
DS-RT '10 Proceedings of the 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications
Cobra: contentbased filtering and aggregation of blogs and RSS feeds
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Parametric subscriptions for content-based publish/subscribe networks
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
Journey: A Massively Multiplayer Online Game Middleware
IEEE Software
Transaction Models for Massively Multiplayer Online Games
SRDS '11 Proceedings of the 2011 IEEE 30th International Symposium on Reliable Distributed Systems
Partition-Tolerant Distributed Publish/Subscribe Systems
SRDS '11 Proceedings of the 2011 IEEE 30th International Symposium on Reliable Distributed Systems
FAIDECS: fair decentralized event correlation
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
Total Order in Content-Based Publish/Subscribe Systems
ICDCS '12 Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems
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The publish/subscribe paradigm is known for its loosely coupled interactions and event filtering capabilities. Traditional applications using pub/sub systems require large-scale deployment and high event throughput. Thus, pub/sub has always put the emphasis on scalability and performance, to the detriment of filtering expressiveness and quality of service. The matching language is usually limited to topic-based or content-based event filtering and does not allow complex stream-based subscriptions to be expressed. Messages are delivered on a best-effort basis without any ordering or reliability guarantees. Installing additional services and event processing systems at the endpoints can overcome the limitations of pub/sub systems. However, we argue that such solutions are inefficient and put a lot of strain on the pub/sub layer itself. Therefore, the focus of this thesis is to develop integrated solutions to extend pub/sub language expression and quality of service, and demonstrate that our approach results in better performance from a holistic perspective. We first describe multiple case studies for pub/sub and identify major features which need to be supported. We then extract those requirements from our use cases and develop general solutions within the pub/sub layer. Features we have supported so far includes total order and ranked data dissemination. Finally, we conduct experiments to compare the performance of our approach to baselines which rely on end-to-end services and perform holistic evaluations to assess the impact of our work.