Title :
Simulating the Effects of Cloud-Based Oversubscription on Datacenter Revenues and Performance in Single and Multi-class Service Levels
Author :
Householder, Rachel ; Arnold, Scott ; Green, Ron
Author_Institution :
Dept. of Comput. Sci., Bowling Green State Univ., Bowling Green, OH, USA
fDate :
June 27 2014-July 2 2014
Abstract :
Rising trends in the number of customers turning to the cloud for their computing needs has made effective resource allocation imperative for cloud service providers. In order to maximize profits and reduce waste, providers have started to explore the role of oversubscribing cloud resources. However, the benefits of oversubscription in the cloud are not without inherent risks. This paper attempts to unveil the different incentives, risks, and techniques behind oversubscription in a cloud infrastructure. CloudSim is used to compare the generated revenue and performance of oversubscribed and non-oversubscribed datacenters. The idea of multi-class service levels used in other overbooked industries is implemented in simulations modeling a priority class of VMs that pay a higher price for better performance. Results show that oversubscription has the potential to increase datacenter revenue, but the benefit comes with the risk of degraded QoS.
Keywords :
cloud computing; computer centres; financial management; CloudSim; QoS risk; cloud computing; cloud service providers; cloud-based oversubscription; data center revenue; multi-class service level; quality of service; single class service level; Cloud computing; Companies; Computational modeling; Industries; Medical services; Pricing; Resource management; Cloud computing; CloudSim; oversubscription; resource allocation; revenue;
Conference_Titel :
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5062-1
DOI :
10.1109/CLOUD.2014.81