Economic Models and Algorithms for Distributed Systems

Distributed computing paradigms for sharing resources such as Clouds, Grids, Peer-to-Peer systems, or voluntary computing are becoming increasingly popular. While there are some success stories such as PlanetLab, OneLab, BOINC, BitTorrent, and SETI@home, a widespread use of these technologies for bu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Neumann, Dirk (Επιμελητής έκδοσης), Baker, Mark (Επιμελητής έκδοσης), Altmann, Jörn (Επιμελητής έκδοσης), Rana, Omer (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Basel : Birkhäuser Basel : Imprint: Birkhäuser, 2010.
Σειρά:Autonomic Systems
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Economic Models and Algorithms for Distributed Systems
  • Economic Models and Algorithms for Distributed Systems
  • Reputation Mechanisms and Trust
  • A Belief-based Trust Model for Dynamic Service Selection
  • Reputation, Princing and the E-Science Grid
  • Trust-oriented Utility-based Community Structure in Multiagent Systems
  • Formation of Virtual Organizations in Grids: A Game-Theoretic Approach
  • Towards Dynamic Authentication in the Grid — Secure and Mobile Business Workflows Using GSet
  • Service Level Agreements
  • Enforcing Service Level Agreements Using an Economically Enhanced Resource Manager
  • Extended Resource Management Using Client Classification and Economic Enhancements
  • Mitigating Provider Uncertainty in Service Provision Contracts
  • Text-Content-Analysis based on the Syntactic Correlations between Ontologies
  • Business Models and Market Mechanisms
  • Cloud Computing Value Chains: Understanding Businesses and Value Creation in the Cloud
  • A Model for Determining the Optimal Capacity Investment for Utility Computing
  • A Combinatorial Exchange for Complex Grid Services
  • Heuristic Scheduling in Grid Environments: Reducing the Operational Energy Demand
  • Facing Price Risks in Internet-of-Services Markets.