Aernouts, Jef

Claerhout, B.

Ergeerts, Glenn

Weyn, Maarten

Abstract: In real-time middleware, latency is a critical aspect. When the input rate exceeds a certain threshold, queuing will result in an exponentially increasing delay. Distributed computing enables scaling so that this growing latency is kept at a constant minimum. When developing a generic framework, redundancy, platform independency, fault tolerance and transparency are important features that need to be taken care of. The authors test case, a localization system that is used to track multiple objects, is an example of such a heavy loaded and latency critical system. This specific test case requires that the framework quickly scales and reacts to changing loads, making this research challenging and innovative

Framework to enable scalable and distributed application development : lessons learned while developing the opportunistic seamless localization system

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