Name
Abstract | ||
|---|---|---|
Return on investment is a critical decision factor for end-users going for cloud deployments. However, major cloud vendors typically provide a myriad of interdependent cloud service options in a variety of purchasing models, that severely complicates cost estimation and optimization. In this paper, we propose a novel Amazon EC2 cost optimization system, called EC2Bargain Hunter, that innovatively combines services and cloud computing principles with ideas from semantic technologies. The system supports the entire-range of EC2 instance types, and can be used in real-time to perform live cost optimization. We demonstrate that unprecedented cost savings, by a factor of 30, on Amazon EC2 offerings can be found with this system in a few clicks. Furthermore, our approach can be adapted to other IaaS providers, which enables truly real-life cloud cost optimization and thus is a significant step towards making the cloud really cost-effective for the end-users. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SERVICES.2013.52 | SERVICES |
Keywords | Field | DocType |
cloud deployment,real-life cloud cost optimization,major cloud vendor,interdependent cloud service option,cost estimation,ec2 cost optimization system,amazon ec2 offering,cost savings,cloud computing principle,unprecedented cost saving,live cost optimization,cloud computing,investment,costing | Semantic technology,Return on investment,Computer science,Cost estimate,Cloud computing security,Purchasing,Activity-based costing,Database,Cloud testing,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K Rajaraman | 1 | 380 | 31.94 |
| Le Duy Ngan | 2 | 150 | 10.76 |
| Yuzhang Feng | 3 | 57 | 7.23 |
| Anitha Veeramani | 4 | 71 | 5.69 |
| Joel Koo Chong En | 5 | 1 | 0.36 |
| Chan Chee Keong | 6 | 8 | 1.29 |
| Flora S. Tsai | 7 | 352 | 23.96 |
| Artur Andrzejak | 8 | 1 | 0.36 |