Paper Info
Title
Incentivizing self-capping to increase cloud utilization.
Abstract
Cloud Infrastructure as a Service (IaaS) providers continually seek higher resource utilization to better amortize capital costs. Higher utilization not only can enable higher profit for IaaS providers but also provides a mechanism to raise energy efficiency; therefore creating greener cloud services. Unfortunately, achieving high utilization is difficult mainly due to infrastructure providers needing to maintain spare capacity to service demand fluctuations. Graceful degradation is a self-adaptation technique originally designed for constructing robust services that survive resource shortages. Previous work has shown that graceful degradation can also be used to improve resource utilization in the cloud by absorbing demand fluctuations and reducing spare capacity. In this work, we build a system and pricing model that enables infrastructure providers to incentivize their tenants to use graceful degradation. By using graceful degradation with an appropriate pricing model, the infrastructure provider can realize higher resource utilization while simultaneously, its tenants can increase their profit. Our proposed solution is based on a hybrid model which guarantees both reserved and peak on-demand capacities over flexible periods. It also includes a global dynamic price pair for capacity which remains uniform during each tenant's Service Level Agreement (SLA) term. We evaluate our scheme using simulations based on real-world traces and also implement a prototype using RUBiS on the Xen hypervisor as an end-to-end demonstration. Our analysis shows that the proposed scheme never hurts a tenant's net profit, but can improve it by as much as 93%. Simultaneously, it can also improve the effective utilization of contracts from 42% to as high as 99%.
Year
DOI
Venue
2017
10.1145/3127479.3128611
SoCC '17: ACM Symposium on Cloud Computing Santa Clara California September, 2017
Keywords
Field
DocType
cloud computing, pricing model, economic incentives, utilization, resource management, dynamic pricing, SLA, IaaS
Resource management,Spare part,Dynamic pricing,Efficient energy use,Computer science,Service-level agreement,Computer network,Real-time computing,Fault tolerance,Net profit,Environmental economics,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-5028-0
2
0.36
References 
Authors
48
6
Name
Order
Citations
PageRank
Mohammad Shahrad1464.19
Cristian Klein21358.64
Liang Zheng317712.38
Mung Chiang47303486.32
Erik Elmroth51675149.84
David Wentzlaff6123471.61