Abstract | ||
---|---|---|
As the demand for cloud computing as a preferred computing architecture grows, the need for effective capacity planning by cloud providers becomes crucial for their long term viability. Situations involving under-capacity and over-capacity represent lost opportunities and increased overhead. Economic conditions play a critical role in determining the capacity, cost, and revenue of cloud-based services. Using a system dynamics approach, this study evaluates the different conditions in cloud ecosystem from a capacity planning and management perspective, with a view to providing cloud service providers guidance for cloud capacity management. |
Year | Venue | Keywords |
---|---|---|
2017 | AMCIS 2017 PROCEEDINGS | Cloud computing, capacity planning, simulation, system dynamics |
Field | DocType | Citations |
Computer science,Capacity management,Utility computing,System dynamics,Cloud testing,Cloud computing,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nazareth, D.L. | 1 | 61 | 46.11 |
Jae Choi | 2 | 53 | 7.82 |