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On Trade-offs in Event Delivery Systems by Haggai Roitman; Avigdor Gal; Louiqa Raschid is a scholarly article available to read on EtoBox.

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Architectures and middleware for event delivery face scalability challenges in providing up-to-date events to meet clients' specifications. The use of proxy middleware is a common practice for increasing scalability. Proxies can aggregate client specifications, taking advantage of similar needs to reduce communication overhead, workload on event sources (e.g., sensors) and network traffic. However, in a setting with thousands of clients, event sources, and constrained resources, proxies cannot always satisfy all client needs. A proxy is interested in maximizing completeness by capturing as many events as possible. However, due to constraints on resources, event delivery may not be fully current, resulting in a delay in delivering events. In many cases, these two dimensions cannot be directly related and we propose a flexible design framework that can suit different changing needs of designers. We start by casting the event delivery trade-off as a bi-objective optimization problem. The conventional definition of a solution to multiobjective problems is a Pareto set and we analyze the solution complexity. The offline optimal solution serves us in evaluating the design of run-time heu

Author

Haggai Roitman; Avigdor Gal; Louiqa Raschid

Publisher

ACM

Published

2010

Language

EN