The PADRES Publish/Subscribe System

Hans-Arno Jacobsen, Alex Cheung, Guoli Li, Balasubramaneyam Maniymaran, Vinod Muthusamy, and Reza Sherafat Kazemzadeh.

In Principles and Applications of Distributed Event-Based Systems, pages 164-205, IGI Global, 2010.

Abstract

This chapter introduces PADRES, the publish/subscribe model with the capability to correlate events, uniformly access data produced in the past and future, balance the traffic load among brokers, and handle network failures. The new model can filter, aggregate, correlate and project any combination of historic and future data. A flexible architecture is proposed consisting of distributed and replicated data repositories that can be provisioned in ways to trade-off availability, storage overhead, query overhead, query delay, load distribution, parallelism, redundancy and locality. This chapter gives a detailed overview of the PADRES content-based publish/subscribe system. Several applications are presented in detail that can benefit from the content-based nature of the publish/subscribe paradigm and take advantage of its scalability and robustness features. A list of example applications are discussed that can benefit from the content-based nature of publish/subscribe paradigm and take advantage of its scalability and robustness features.

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Tags: bpm, business process, canoews2010, composite subscription, content-based publish/subscribe, historic data access, event processing, padres, pub/sub applications, publish/subscribe


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