Name
Abstract | ||
|---|---|---|
Yahoo! is building a set of scalable, highly-available datastorage and processing services, and de- ploying them in a cloud model to make application developmen t and ongoing maintenance significantly easier. In this paper we discuss the vision and requirements , as well as the components that will go into the cloud. We highlight the challenges and research questio ns that arise from trying to build a com- prehensive web-scale cloud infrastructure, emphasizing d ata storage and processing capabilities. (The Yahoo! cloud infrastructure also includes components for p rovisioning, virtualization, and edge content delivery, but these aspects are only briefly touched on.) |
Year | Venue | Keywords |
|---|---|---|
2009 | IEEE Data Eng. Bull. | process capability |
DocType | Volume | Issue |
Journal | 32 | 1 |
Citations | PageRank | References |
14 | 1.49 | 2 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian F. Cooper | 1 | 2472 | 135.44 |
| Eric Baldeschwieler | 2 | 573 | 17.19 |
| Rodrigo Fonseca | 3 | 17 | 4.21 |
| James J. Kistler | 4 | 673 | 192.53 |
| P. P. S. Narayan | 5 | 14 | 2.50 |
| Chuck Neerdaels | 6 | 14 | 1.49 |
| Toby Negrin | 7 | 14 | 1.49 |
| Raghu Ramakrishnan | 8 | 12649 | 2243.05 |
| Adam Silberstein | 9 | 2281 | 111.23 |
| Utkarsh Srivastava | 10 | 2337 | 149.10 |
| Raymie Stata | 11 | 1968 | 245.65 |