An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
The JEDI Event-Based Infrastructure and Its Application to the Development of the OPSS WFMS
IEEE Transactions on Software Engineering
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Hermes: A Distributed Event-Based Middleware Architecture
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
SCRIBE: The Design of a Large-Scale Event Notification Infrastructure
NGC '01 Proceedings of the Third International COST264 Workshop on Networked Group Communication
Event Composition in Time-Dependent Distributed Systems
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Evaluating Advanced Routing Algorithms for Content-Based Publish/Subscribe Systems
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
XCube: XML for data warehouses
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
The 8 requirements of real-time stream processing
ACM SIGMOD Record
NSLoadGen: a testbed for notification services
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
User studies: a strategy towards a successful industry-academic relationship
Futureplay '10 Proceedings of the International Academic Conference on the Future of Game Design and Technology
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The event-based paradigm has gained interest as a solution for integrating large-scale distributed and loosely coupled systems. It also has been propelled by the growth of event-based applications like ambient intelligence, utility monitoring, event-driven supply chain management (eSCM), multi-player games, etc. The pub/sub paradigm is particularly relevant for implementing these types of applications. The core of a pub/sub system is the notification service and there are several commercial products, open source and research projects that implement it. The nature of notification services (distribution, scale, large amount of concurrent messages processed) as well as the diversity of their implementations, make their run time analysis difficult. The few existing solutions that address this problem are mainly proprietary and focus on single aspects of the behavior. A general solution would significantly support research, development and tuning of these services. This paper introduces a notification service-independent analysis framework that enables online analysis of their behavior based on streamed observations, flexibly defined metrics and visual representations thereof.