Name
Abstract | ||
|---|---|---|
As a growing number of service and application providers choose cloud networks to deliver their services on a software-as-a-service (SaaS) basis, cloud providers need to make their provisioning systems agile enough to meet service level agreements (SLAs). At the same time, they should guard against over-provisioning, which limits their capacity to accommodate more tenants. To this end, we propose ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSM.2021.3075619 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Cloud computing,Time factors,Resource management,Reinforcement learning,Service level agreements,Memory management,Computational modeling | Journal | 18 |
Issue | ISSN | Citations |
2 | 1932-4537 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Constantine Ayimba | 1 | 0 | 1.69 |
| Paolo Casari | 2 | 27 | 4.84 |
| Vincenzo Mancuso | 3 | 1249 | 76.65 |