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CISTI'2020 - 15th Iberian Conference on Information Systems and Technologies

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Análise de Parâmetros do Algoritmo Particle Swarm para Escalonamento de Máquinas Virtuais em Computação em Nuvem

The computational demand of recent years has made a new computational paradigm become extremely necessary to meet the demand for resources. Cloud computing has been widely used and is a reality in all sectors that demand computational use allied with security and with ease of management. Gigantic data centers were created to meet ever- increasing demand. Processing, memory and storage are delivered to end customers who do not have the energy, cooling, hardware, software, licensing and management concerns, paying only for what they really need. Considering that the user requests resources to perform a certain task, it is necessary to create efficient mechanisms of allocation of resources and fair collection metrics. In this work a review is made of concepts of cloud computing and resource scheduling and analyse two scheduling algorithms that use particle swarm. Finally, the particle swarm algorithm is implemented to make analysis of the best parameter configuration to meet the demand for virtual machine allocation in cloud computing. The amount of CPU, memory and disk is considered for calculation.

Wellington Francisco da Silva
Universidade Estadual Paulista "Júlio de Mesquita Filho"
Brazil

Renata Spolon Lobato
Universidade Estadual Paulista "Júlio de Mesquita Filho"
Brazil

Roberta Spolon
Universidade Estadual Paulista "Júlio de Mesquita Filho"
Brazil

Aleardo Manacero Jr.
Universidade Estadual Paulista "Júlio de Mesquita Filho"
Brazil

Marcos Cavenaghi
Humber Institute of Technology and Advanced Learning
Canada

 


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