IaaS Reservation Optimization for Multi-QoS Level based SaaS Provisioning.
Hai Ying Dong · RMIT Research Repository (RMIT University Library) · 2019
We design an evolutionary computation based solution for SaaS providers to optimize the cost of reserved IaaS instance subscription. The services provisioned by SaaS providers have multiple options of Quality of Service (QoS) levels. A Bayesian network model is designed to map between the QoS levels of SaaS instances and their actual resource consumption on IaaS instances. A genetic algorithm with heuristics is designed to optimize the reserved IaaS instance subscription. The proposed solution is evaluated via a set of simulated experiments.