Name
Abstract | ||
|---|---|---|
Cloud object stores are versatile storage services that support a wide range of use cases. They simplify the management of large blocks of data at scale and are becoming the de facto storage choice for Big Data analytics platforms. To build these services cost-effectively, cloud vendors use hard disk drives (HDDs) in their object store deployments. However, the lower performance of HDDs affect ten... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MIC.2016.50 | IEEE Internet Computing |
Keywords | Field | DocType |
Cloud computing,Pricing,Games,Big data,Performance evaluation,Object oriented databases,Web services,Distributed processing,Software engineering,Storage automation | Cloud management,Use case,Computer science,Computer network,Cloud storage,Distributed computing,World Wide Web,Dynamic pricing,Service provider,Web service,Big data,Database,Cloud computing | Journal |
Volume | Issue | ISSN |
20 | 3 | 1089-7801 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Cheng | 1 | 75 | 9.77 |
| M. Safdar Iqbal | 2 | 93 | 4.76 |
| Aayush Gupta | 3 | 213 | 11.81 |
| Ali R Butt | 4 | 210 | 17.36 |