Scheduling cloud capacity for Time- Varying customer demand
Bouterse, B., & Perros, H. (2012, November 1).
topics (OpenAlex): Cloud Computing and Resource Management; Distributed and Parallel Computing Systems; IoT and Edge/Fog Computing
TL;DR:
This work investigated several methods for predicting the required cloud capacity in the presence of time-varying customer demand of application environments and shows that a simple heuristic, whereby the authors continuously maintain a fixed reserve capacity, performs better than the other methods.
(via
Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: NC State University Libraries