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Onur DerinPrasanth Kuncheerath RamankuttyPaolo Meloni,  and Giuseppe Tuveri,  "A Low Overhead Self-adaptation Technique for KPN Applications on NoC-based MPSoCs".  In  Proceedings of the 3rd International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS) - Special Session on Self-Adaptive Networked Embedded Systems (SANES),  pp.262--269.  Barcelona, Spain,  February  2013 .
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AbstractSelf-adaptive systems are able to adapt themselves to mutating internal/external conditions so as to meet their goals. One of the challenges to be tackled when designing such systems is the overhead introduced in making the system monitorable and adaptable. A large overhead can easily compensate the benefits of adaptation. In this work, we are addressing this challenge within the context of KPN applications on NoC-based MPSoCs. In particular, parametric adaptations at the application level are considered. We present a low overhead technique for the implementation of the monitor-controller-adapter loop, which is present in self-adaptive systems. The technique is fundamentally based on an extended network interface which provides the ability to interrupt remote tiles on a NoC-based multiprocessor platform. Results from the MJPEG case study show that the proposed interrupt-based approach incurs an overhead as low as 0.4\% without compromising the quality of the adaptation control. Our new technique provides an improvement of approximately 6.25\% compared to another state-of-the-art technique that interacts with the application using KPN semantics (i.e., blocking channels). Moreover, the sensitivity of the overhead to the complexity of the adaptation controller is much lower in case of our interrupt-based technique as compared to the blocking channel based scheme.
Keywordskahn process networks (KPN)networks-on-chip (NoC)self-adaptationevent-based control
Research areaSelf-adaptation
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