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- W1972243610 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." @default.
- W1972243610 created "2016-06-24" @default.
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- W1972243610 date "2013-10-01" @default.
- W1972243610 modified "2023-09-25" @default.
- W1972243610 title "Framework to Enable Scalable and Distributed Application Development" @default.
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- W1972243610 doi "https://doi.org/10.4018/ijaras.2013100104" @default.
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