Adaptive pricing for resource reservations in Shared environments

Application scheduling studies on large-scale shared resources have advocated the use of resource provisioning in the form of advance reservations for providing predictable and deterministic quality of service to applications. Resource scheduling studies however have shown the adverse impact of advance reservations in the form of reduced utilization and increased response time of the resources. Thus, resource providers either disallow reservations or impose restrictions such as minimum notice periods and this reduces the effectiveness of reservations as the means of allocating desired resources at a desired time. In this paper, we suggest adaptive pricing as an alternative for allowing reservation of resources. The prices charged for allowing a reservation are based directly on the impact these reservations have on the other users sharing the resources. Using trace-based simulations, we show that adaptive pricing allows users to make reservations at the desired time while making it un...

• Type: Conference
• Year: 2007
• Where: GRID
• Authors: Gurmeet Singh, Carl Kesselman, Ewa Deelman
• Keywords: Adaptive Pricing, Advance Reservations, Distributed And Parallel Computing, GRID 2007, Scheduling Studies