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Extensive performance evaluation results using real vehicle cranking data have shown the effectiveness of the algorithm.
Our extensive performance evaluation shows that our protocols yield high performance gains under both static and highly dynamic environments.
We conduct extensive performance evaluation based on real traces while varying the number of tasks and associated workloads.
This paper describes the P2P-MapReduce system providing a detailed description of its basic mechanisms, a prototype implementation, and an extensive performance evaluation in different network scenarios.
The extensive performance evaluation shows that DBSimJoin significantly outperforms alternative approaches and scales very well when important parameters like ε, data size, and number of dimensions increase.
Our extensive performance evaluation and comparison of the proposed technique concludes that our scheme outperforms existing Q + R-tree and QuadTree in terms of range query execution time by a high order of magnitude.
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Finally, extensive performance evaluations are performed to study the impact of various jamming scenarios in an example wireless mesh network.
We conduct extensive performance evaluations on different systems and algorithms.
We conduct extensive performance evaluations on different schemes proposed.
Finally, extensive performance evaluations show that our proposal is robust to location errors, thus statistically minimizing consumed transmit power as a packet is relayed from source to destination.
We conduct extensive performance evaluations on several recent superscalar architectures, such as the IBM RS/6000-590, MIPS R8000 and DEC Alpha 21164, and show that our new algorithm is much faster than its predecessors.
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