Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
A Punctuated-Equilibrium Model of Technology Diffusion
Management Science
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Dynamic Pricing of Information Products Based on Reinforcement Learning: A Yield-Management Approach
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Compute Power Market: Towards a Market-Oriented Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Architecture Requirements for Commercializing Grid Resources
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Globally Distributed Computation over the Internet - The POPCORN Project
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
A Case for Economy Grid Architecture for Service Oriented Grid Computing
IPDPS '01 Proceedings of the 10th Heterogeneous Computing Workshop â"" HCW 2001 (Workshop 1) - Volume 2
Understanding software project risk: a cluster analysis
Information and Management
Dynamic Resource Prices in a Combinatorial Grid System
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Grid capacity planning with negotiation-based advance reservation for optimized QoS
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Dynamic Pricing and Automated Resource Allocation for Complex Information Services: Reinforcement Learning and Combinatorial Auctions (Lecture Notes in Economics and Mathematical Systems)
Mathematical and Computer Modelling: An International Journal
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The application of Grid technology is at the transition from engineering and natural science-related industrial sectors to other industries that have a high demand for computing resources. However, the diffusion of Grid technology within industrial sectors which are not naturally engineering and natural science-related is often hindered by a lack of incentives to share the computational resources. A promising way to overcome these barriers is the introduction of economically inspired mechanisms for the use of Grid-based resources. Our work introduces a iterated Cost-based Multi-unit Resource Auction (CMRA) and compares a traditional cost-based accounting approach with dedicated servers as well as a pooling approach with regard to service quality and total costs. The cost-calculus used in our model is based on costs for the delayed processing of jobs and costs for the cancellation of these jobs if the job cannot be provided at a certain time span in the worst case. The simulation results indicate that pooling of IT resources by Grid technology can produce a reduction of 20.3% in cost within this model compared to dedicated servers in the computing centers. However, with the CMRA-based allocation of computing resources, a further 1.4% of cost reduction can be achieved while the achieved Quality-of-Service (QoS) can be significantly increased. Finally we think that there must be a further cost reduction potential for Grid solutions beyond these savings that can be achieved by using economically inspired allocation methods that are combined with advanced refining and learning methods.