Distributed applications and interoperable systems 10th IFIP WG 6.1 International Conference, DAIS 2010, Amsterdam, The Netherlands, June 7-9, 2010 proceedings

Detalles Bibliográficos
Autor Corporativo: IFIP TC6 WG6.1 International Working Conference on Distributed Applications and Interoperable Systems (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Springer 2010.
Edición:1st ed
Colección:Lecture notes in computer science ; 6115.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009714238106719
Tabla de Contenidos:
  • 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.