Socially Optimal Pricing of Cloud Computing Resources
The cloud computing paradigm offers easily accessible computing resources of variable size and capabilities. The authors consider a cloud-computing facility that provides simultaneous service to a heterogeneous, time-varying population of users, each associated with a distinct job. Both the completion time, as well as the user's utility, may depend on the amount of computing resources applied to the job. In this paper, they focus on the objective of maximizing the long-term social surplus, which comprises of the aggregate utility of executed jobs minus load-dependent operating expenses.