Description
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 building strategies.
Recommended Citation
Nazareth, Derek L. and Choi, Jae, "Capacity Management for Cloud Computing: A System Dynamics Approach" (2017). AMCIS 2017 Proceedings. 3.
https://aisel.aisnet.org/amcis2017/eBusiness/Presentations/3
Capacity Management for Cloud Computing: A System Dynamics Approach
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 building strategies.