Name
Abstract | ||
|---|---|---|
Cloud Computing is an essential paradigm of computing services based on the “elasticity” property, where available resources are adapted efficiently to different workloads overtime. In elastic platforms, the forecasting component can be considered by far the most important element and the differentiating factor when comparing such systems, with workload forecasting one of the problems to solve if ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCC.2016.2586064 | IEEE Transactions on Cloud Computing |
Keywords | Field | DocType |
Forecasting,Cloud computing,Elasticity,Time series analysis,Predictive models,Computational modeling,Demand forecasting | Time series,Data mining,Cloud systems,Computer science,Workload,Probabilistic forecasting,Statistical hypothesis testing,Cloud computing | Journal |
Volume | Issue | ISSN |
6 | 4 | 2168-7161 |
Citations | PageRank | References |
3 | 0.39 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Javier Baldan | 1 | 3 | 0.39 |
| Sergio Ramírez-Gallego | 2 | 98 | 6.99 |
| Christoph Bergmeir | 3 | 152 | 14.04 |
| Francisco Herrera | 4 | 27391 | 1168.49 |
| José Manuel Benítez | 5 | 888 | 56.02 |