Title :
A Service Request Acceptance Model for Revenue Optimization - Evaluating Policies Using a Web Based Resource Management Game
Author :
Püschel, Tim ; Lang, Fabian ; Bodenstein, Christian ; Neumann, Dirk
Author_Institution :
Albert-Ludwigs Univ. Freiburg, Freiburg, Germany
Abstract :
Competition for users on a global market is fierce, forcing enterprises to provide for better, faster services while offering the same more cheaply. At the same time, users choose to remain oblivious of the infrastructure behind the service - only demanding that it works. This work presents a policy-based revenue management system for computing clouds. Due to the novelty of the market Cloud providers have not established revenue management systems yet. This will however become a key advantage in prospect of fierce competition. In an attempt to attain a more realistic evaluation to the model, this work uniquely reverts to a browser-based ´Cloud Manager´, a serious game designed to record the decisions made by players allowing the model suggested to be uniquely evaluated with both often irrational human decision making, and mathematically sound simulation logic. By employing different policies, benefit can be increased compared to currently often employed standard provisioning mechanisms.
Keywords :
Internet; Web services; decision making; management information systems; marketing data processing; optimisation; Web based resource management game; clouds computing; decision making; policy based revenue management system; revenue optimization; service request acceptance model; simulation logic; Cloud computing; Globalization; Humans; Image converters; Large-scale systems; Logic design; Mathematical model; Processor scheduling; Resource management; Virtual machining;
Conference_Titel :
System Sciences (HICSS), 2010 43rd Hawaii International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5509-6
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2010.32