Titlebook: Distributed Computing and Networking; 13th International C Luciano Bononi,Ajoy K. Datta,Archan Misra Conference proceedings 2012 Springer-V

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https://doi.org/10.1007/978-1-349-07627-7iments validating the model and investigating how these two optimizations interact in a WAN. Results for LAN are also mentioned. The results show that although batching by itself is usually sufficient to maximize the throughput in a LAN environment, in a WAN it must be complemented with pipelining.

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https://doi.org/10.1007/978-1-349-07627-7ios on grid nodes. We run experiments to define the operational zone in which the obtained results are accurate. We also propose a basic mapping algorithm to distribute a simulation scenario in several nodes.

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The Fascination with Unknown Timeer of targets to be covered is maximized whereas the rotated angles of sensors are minimized. We present two distributed greedy algorithm solutions for the MCRS problem. Simulation results shows that to apply angle adjustment algorithm can enhance the coverage rate of the directional sensor network.

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,Lifting the Barriers – Reducing Latencies with Transparent Transactional Memory,sion software transactional memory system that executes JMM synchronization operations asynchronously. If any such execution has violated the JMM, the transaction rolls back. As a result, only blocking operations require immediate synchronization barriers.

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Hybrid Approach for Experimental Networking Research,ios on grid nodes. We run experiments to define the operational zone in which the obtained results are accurate. We also propose a basic mapping algorithm to distribute a simulation scenario in several nodes.

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Distributed Coverage-Enhancing Algorithms in Directional Sensor Networks with Rotatable Sensors,er of targets to be covered is maximized whereas the rotated angles of sensors are minimized. We present two distributed greedy algorithm solutions for the MCRS problem. Simulation results shows that to apply angle adjustment algorithm can enhance the coverage rate of the directional sensor network.