Title
Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design
Abstract
As energy costs become increasingly greater contributors to a cloud provider's overall costs, it is important for the cloud to recoup these energy costs from its tenants for profitability via appropriate pricing design. The poor predictability of real-world tenants' demand and demand responses (DRs) make such pricing design a challenging problem. We formulate a leader-follower game-based cloud pricing framework with the goal of maximizing cloud's profit. The key distinguishing aspect of our approach is our emphasis on modeling both the cloud and its tenants as working with low predictability in their inputs. Consequently, we model them as employing myopic control with short-term predictive models. Our empirical evaluation using tenant trace from IBM production data centers shows that (i) cloud's profit and VM prices are sensitive to the tradeoffs between its energy costs, tenant's demand and DR, and (ii) the cloud's estimation of tenants' demands/DR may significantly affect its profitability.
Year
DOI
Venue
2015
10.1145/2768510.2768541
International Conference on Future Energy Systems
Field
DocType
Citations 
IBM,Predictability,Demand response,Cloud provider,Profitability index,Marketing,Environmental economics,Business,Cloud computing
Conference
19
PageRank 
References 
Authors
0.98
19
8
Name
Order
Citations
PageRank
Cheng Wang1886.95
Neda Nasiriani2606.18
George Kesidis329338.77
Bhuvan Urgaonkar42309158.10
Qian Wang5190.98
Lydia Y. Chen643252.24
Aayush Gupta721311.81
Robert Birke813315.51