Comparing efficiency and costs of cloud computing models

Public and private clouds are being adopted as a cost-effective approach for sharing IT resources. Customers acquire and release resources by requesting and returning virtual machines to the cloud. Different service models are proposed for virtual machine resource management. Some public cloud providers follow a t-shirt model for VM resource sizing. A second approach for resource management is based on a time share model. This paper compares the two approaches from the perspective of resource usage for both the service provider and workload owner. Using data from 312 customer applications, we show that the t-shirt model requires 40% more infrastructure than when a finer degree of resource sharing based on time varying resource shares is permitted.

[1]  Anne M. Holler,et al.  Cloud Scale Resource Management: Challenges and Techniques , 2011, HotCloud.

[2]  Jerome A. Rolia,et al.  An integrated approach to resource pool management: Policies, efficiency and quality metrics , 2008, 2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN).

[3]  Simson L. Garfinkel,et al.  An Evaluation of Amazon's Grid Computing Services: EC2, S3, and SQS , 2007 .

[4]  Jerome A. Rolia,et al.  Workload Analysis and Demand Prediction of Enterprise Data Center Applications , 2007, 2007 IEEE 10th International Symposium on Workload Characterization.

[5]  Edward Walker,et al.  Benchmarking Amazon EC2 for High-Performance Scientific Computing , 2008, login Usenix Mag..

[6]  Jerome A. Rolia,et al.  Resource pool management: Reactive versus proactive or let's be friends , 2009, Comput. Networks.

[7]  Jerome A. Rolia,et al.  Resource and virtualization costs up in the cloud: Models and design choices , 2011, 2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN).