Promoting cooperation in selfish grids
Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
Resource trading using cognitive agents: A hybrid perspective and its simulation
Future Generation Computer Systems
Risk Informed Computer Economics
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Cost Optimization Model for Business Applications in Virtualized Grid Environments
GECON '09 Proceedings of the 6th International Workshop on Grid Economics and Business Models
Economically enhanced resource management for internet service utilities
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
On business grid demands and approaches
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Reputation-based estimation of individual performance in collaborative and competitive grids
Future Generation Computer Systems
Managing risks in an open computing environment using mean absolute deviation portfolio optimization
Future Generation Computer Systems
Dynamic multi-stage resource selection with preference factors in grid economy
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
High level QoS-driven model for Grid applications in a simulated environment
Future Generation Computer Systems
A novel price prediction scheme of grid resources based on time series analysis
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Non-monetary fair scheduling: a cooperative game theory approach
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
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In this chapter we consider the architectural steps needed to commercialize Grid resources as technical focus shifts towards business requirements. These requirements have been met for conventional utilities resources through commoditization, a variety of market designs, customized contract design, and decision support. Decision support is needed to exploit the flexibility provided by Grids in the context of uncertain and dynamic user requirements and resource prices. We provide a detailed example of how the decision support for users can be formulated as a multi-stage stochastic optimization problem. We derive required architectural features for commercialization using inspiration from conventional utilities and considering the delivery context of Grid resources. We consider two basic delivery scenarios: a group of peers and a group with an external provider. In summary, we provide a conceptual framework for Grid resource commercialization including both the understanding of the underlying resource commodity characteristics and also the delivery context.