Rosario Piro INFN Torino WP1 Meeting, Prague, July 7-8, 2003. DGAS-Sim Simulation of economic brokering. DGAS simplified working scheme. Computational Energy. We define the computational energy “consumed” by a job as the product of a performace factor
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- static parameters: base price P0, variation limit ΔP and
maximum Queue Wait Time Wmax
- dynamic parameter: current (estimated) Queue Wait
price dynamically varies between P0–ΔP and P0+ΔP
- approximates game-theoretic equilibrium prices (demand
equals supply) by incrementally increasing/decreasing
prices until the observed (immediate) profitability level falls,
then the direction of price adjustments is reversed.
- problem: can balance incoming workload, but does not
consider pre-existing unbalanced queues.
- possible adaption for DGAS: use QWT and its variation
as stimulus for price adjustments (instead of profit).
the resource with the lowest price per UCE)
overdemand (demand > supply)
underdemand (demand < supply)
market equilibrium (demand = supply)