On the Design of Mutually Aware OptimalPricing and Load Balancing Strategiesfor Grid Computing Systems
Abstract— On the Design of Mutually Aware OptimalPricing and Load Balancing Strategiesfor Grid Computing Systems. Managing resources and cleverly pricing them on computing systems is a challenging task. Resource sharing demands careful load balancing and often strives to achieve a win-win situation between resource providers and users. Toward this goal, we consider a joint treatment of load balancing and pricing. We do not assume static pricing to determine load balancing, or vice versa. Instead, we study the relationship between the price that a computing node is charged and the load and revenue that it receives. We find that there exists an optimal price which maximizes the revenue. We then consider a multi-user environment and explore how the load from a user can be balanced on processors with existing loads. Finally, < Final Year Projects > we derive an optimal price that maximizes the revenue in the multi-user environment. We evaluate the performance of the proposed algorithms through simulations.