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Policy-based autonomous bidding for overload management in eCommerce websites

Moreno, A.; Poggi, N.; Berral, J.; Gavaldà, R.; Torres, J.
Type of activity
Presentation of work at congresses
Name of edition
Group Decision and Negotiation Meeting
Date of publication
Book of congress proceedings
Group decision and negotiation 2007: proceedings
First page
Last page
In eCommerce applications with heterogeneous traffic, which typically run on execution environments where resources are shared with other applications, being able to dynamically adapt to the application workload in real time is crucial for proper self-management and business efficiency. The AUGURES platform has recently introduced a novel approach to deal with server overload situations, based on the prioritization of sessions according to the expected revenue that the session is likely to gener...
Group of research
CAP - High Performace Computing Group
LARCA - Laboratory of Relational Algorithmics, Complexity and Learnability


  • Moreno Garcia, Antonio  (author and speaker )
  • Poggi Mastrokalo, Nicolas  (author and speaker )
  • Berral Garcia, Josep Lluis  (author and speaker )
  • Gavaldà Mestre, Ricard  (author and speaker )
  • Torres Viñals, Jordi  (author and speaker )