Name
Abstract | ||
|---|---|---|
Cloud computing has revolutionized service delivery by providing on-demand invocation and elasticity. To reap these benefits, computation has been displaced from client devices and into data centers. This partial centralization is undesirable for applications that have stringent locality requirements, e.g., low latency. This problem could be addressed with large numbers of smaller cloud resources ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNSM.2016.2549698 | IEEE Transactions on Network and Service Management |
Keywords | Field | DocType |
Cloud computing,Resource management,Bandwidth,Measurement,Computational modeling,Quality of service,Heuristic algorithms | Resource management,Locality,Computer science,Quality of service,Computer network,Common value auction,Quality of experience,Latency (engineering),Distributed computing,Cloud computing,Scalability | Journal |
Volume | Issue | ISSN |
13 | 2 | 1932-4537 |
Citations | PageRank | References |
3 | 0.40 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raul Landa | 1 | 198 | 19.45 |
| Marinos Charalambides | 2 | 227 | 21.53 |
| Richard G. Clegg | 3 | 237 | 29.78 |
| David Griffin | 4 | 75 | 12.15 |
| Miguel Rio | 5 | 21 | 4.69 |