Grid and Distributed Computing, Control and Automation
(Sprache: Englisch)
Welcome to the proceedings of the 2010 International Conferences on Grid and D- tributed Computing (GDC 2010), and Control and Automation (CA 2010) - two of the partnering events of the Second International Mega-Conference on Future Gene- tion Information...
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Produktinformationen zu „Grid and Distributed Computing, Control and Automation “
Klappentext zu „Grid and Distributed Computing, Control and Automation “
Welcome to the proceedings of the 2010 International Conferences on Grid and D- tributed Computing (GDC 2010), and Control and Automation (CA 2010) - two of the partnering events of the Second International Mega-Conference on Future Gene- tion Information Technology (FGIT 2010). GDC and CA bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted - pects of high-performance and compound control systems, including their links to computational sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 198 papers submitted to GDC/CA 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 40 papers were accepted for GDC/CA 2010. Of the 40 papers, 8 were selected for the special FGIT 2010 volume published by Springer in LNCS the series. 28 papers are published in this volume, and 4 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the GDC/CA 2010 International Advisory Boards and members of the International Program Committees, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of these two c- ferences would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.
Inhaltsverzeichnis zu „Grid and Distributed Computing, Control and Automation “
Agent-Based Service Composition in Cloud Computing.- Video Adaptation Model Based on Cognitive Lattice in Ubiquitous Computing.- A Genetic-Based Scheduling Algorithm to Minimize the Makespan of the Grid Applications.- An Adaptive Tradeoff Algorithm for Multi-issue SLA Negotiation.- Framework for Behavior Adaptation of Distributed Applications.- A Multilateral Negotiation Model for Cloud Service Market.- Intelligent Smart Cloud Computing for Smart Service.- VMcol: A Collector of Garbage for Virtual Machine Image Files.- Predictable Cloud Provisioning Using Analysis of User Resource Usage Patterns in Virtualized Environment.- Deployment of Solving Permutation Flow Shop Scheduling Problem on the Grid.- Result Verification Mechanism Based on Availability and Reputation of Resources in P2P Desktop Grid Systems.- Mobile Grid System Based on Mobile Agent.- An Improvement on the Weighted Least-Connection Scheduling Algorithm for Load Balancing in Web Cluster Systems.- Design and Implementation of User-Created Information Systems with Mobile RFID.- An Experimental Performance Measurement of Implemented Wireless Access Point for Interworking Wi-Fi and HSDPA Networks.- VSAM: Virtual Sensor Agent-Oriented Middleware for Distributed and Heterogeneous WSNs.- Stream Execution of Object Queries.- Application of Extended DFT for Fault Detection of Electric Motors.- On the Complexity of the Classification of Synchronizing Graphs.- Low Frequency Compensator of Multi-variable Tele-control System.- A Differential Evolution Based Approach to Estimate the Shape and Size of Complex Shaped Anomalies Using EIT Measurements.- Tracking Extrema in Dynamic Environments Using a Learning Automata-Based Immune Algorithm.- TDOA/FDOA Geolocation with Adaptive Extended Kalman Filter.- A Very Low Cost BCH Decoder for High Immunity of On-Chip Memories.- Improved Non Linear Time Series Forecasting Using Non Linear Analysis Techniques and RBF Neural Networks for MRS Signals and Chaotic Diode Resonator
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Circuits.- A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification.- A Neural-Network Clustering-Based Algorithm for Privacy Preserving Data Mining.- On a Novel Simulation Framework and Scheduling Model Integrating Coverage Mechanisms for Sensor Networks and Handling Concurrency.
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Bibliographische Angaben
- XIII, 286 Seiten, mit Abbildungen, Maße: 15,6 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Tai-Hoon Kim, Stephen S. Yau, Osvaldo Gervasi, Byeong-Ho Kang, Adrian Stoica, Dominik Slezak
- Verlag: Springer Berlin
- ISBN-10: 3642176240
- ISBN-13: 9783642176241
- Erscheinungsdatum: 22.11.2010
Sprache:
Englisch
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