By Ming-hui Wu, Fan-wei Zhu (auth.), Qi Luo (eds.)
This quantity includes revised and prolonged examine articles written via sought after researchers engaging in WNIS 2009 convention. issues coated comprise instant details Networks, instant Networking applied sciences, cellular software program and providers, clever computing, community administration, energy engineering, regulate engineering, sign and photograph Processing, desktop studying, regulate structures and purposes, The e-book will provide the states of arts of super advances in instant Networks and knowledge platforms and in addition function a very good reference paintings for researchers and graduate scholars engaged on instant Networks and data Systems.
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Extra info for Advances in Wireless Networks and Information Systems
J. -j. Chen from table 1, we see that after running 20 intervals, the time consumption for NSGA- algorithm takes 2549 ms, whereas the time consumption for the replacement strategy takes 1768 ms, which indicates the efficiency of using replacement strategy is quite significant. It is quite obvious that although the NSGAalgorithm overall has a higher accuracy for workload control of the autonomic database system, it takes much longer time to run, which may impose a significant impact on the real-time performance of the autonomic database system.
J. Chen workload control of the autonomic database system, and conclusions regarding their respective characteristics are also presented. 1 Workload Control by Using NSGA-Ⅱ Algorithm Ⅱ Workload control using the NSGA- algorithm starts with considering each workload as a gene, and each workload between the waiting list of control intervals as an individual. For each individual, a group of workloads having the highest values and the shortest responding time will be selected as submission objectives.
Acknowledgment. We thank the support of the Science Research Foundation of Wuhan Institute of Technology under the granted no. 12096021 and the Research Foundation of Education Bureau of Hubei Province, China under the granted no. B20081506. References 1. : Grayscale True Two-dimensional Dictionary-Based Image Compression. Journal of Visual Communication and Image Representatio 18, 35–44 (2007) 2. : Integer Wavelet Transform for Embedded Lossy to Lossless Image Compression. IEEE Transactions on Image Processing 10, 383–392 (2001) 3.