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Distributed Applications and Interoperable Systems

10th IFIP WG 6.1 International Conference, DAIS 2010, Amsterdam, The Netherlands, June 7-9, 2010, Proceedings

Medium: Buch
ISBN: 978-3-642-13644-3
Verlag: Springer
Erscheinungstermin: 01.06.2010
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Netlog) presented the problem area of distributed social data.


Produkteigenschaften


  • Artikelnummer: 9783642136443
  • Medium: Buch
  • ISBN: 978-3-642-13644-3
  • Verlag: Springer
  • Erscheinungstermin: 01.06.2010
  • Sprache(n): Englisch
  • Auflage: 1. Auflage. 2010
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 399 g
  • Seiten: 243
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Ubiquitous Services and Applications.- RESTful Integration of Heterogeneous Devices in Pervasive Environments.- Hosting and Using Services with QoS Guarantee in Self-adaptive Service Systems.- Grid Computing.- Validating Evolutionary Algorithms on Volunteer Computing Grids.- A Reconfiguration Language for Virtualized Grid Infrastructures.- Sensor Networks.- Distributed Object-Oriented Programming with RFID Technology.- WISeMid: Middleware for Integrating Wireless Sensor Networks and the Internet.- Context Awareness.- Structured Context Prediction: A Generic Approach.- Service Orientation.- Experiments in Model Driven Composition of User Interfaces.- Service Discovery in Ubiquitous Feedback Control Loops.- Distributed Fault Tolerant Controllers.- QoS Self-configuring Failure Detectors for Distributed Systems.- Distributed Fault Tolerant Controllers.- Cloud and Cluster Computing.- Automatic Software Deployment in the Azure Cloud.- G2CL: A Generic Group Communication Layer for Clustered Applications.- Adaptive and (Re)configurable Systems.- Dynamic Composition of Cross-Organizational Features in Distributed Software Systems.- Co-ordinated Utility-Based Adaptation of Multiple Applications on Resource-Constrained Mobile Devices.- Collaborative Systems.- gradienTv: Market-Based P2P Live Media Streaming on the Gradient Overlay.- Collaborative Ranking and Profiling: Exploiting the Wisdom of Crowds in Tailored Web Search.