Optimal scheduling in cloud computing environment

In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. In the proposed method, the orthogonal Taguchi approach is applied to enhance the SA which is incorporated into the local search of the proposed CSMCSOSA algorithm for scalability performance.

33p meriday 20-04-2019 20 1   Download

In the literature, number of hardware and software approaches are proposed to optimize the usage of the energy in the datacenter. Dynamic power management (DPM), Dynamic Voltage and Frequency Scaling (DVFS), thread motion, Asymmetric cores, virtualization, migration, consolidation, scheduling etc. are approaches which are used to optimize the usage of energy consumption. The goal of this paper is to provide an overview of these techniques to optimize the energy consumption.

4p hongnhan878 12-04-2019 47 0   Download

In this article, we want to use honeybee colony algorithm for resources scheduling. This algorithm is an optimization method based on swarm intelligence and intelligent behavior of honeybee population. Honeybee algorithm involves a group based on search algorithm.

6p byphasse043256 23-03-2019 31 0   Download