Alocação de máquinas virtuais em ambientes de computação em nuvem considerando o compartilhamento de memória

• Ano de defesa: 2014
• Autor(a) principal: Muchalski, Fernando José
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Programa de Pós-Graduação em Computação Aplicada
• Palavras-chave em Português: Sistema de computação virtual; Computação em nuvem; Algorítmos; Gerenciamento de memória (Computação); Cliente/servidor (Computadores); Simulação (Computadores); Computação; Virtual computer systems; Cloud computing; Algorithms; Memory Management (Computer science); Client/Server computing; Computer simulation; Computer science
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/1005

Virtualization is a key technology for cloud computing, it provides computational resources as virtual machines for consumption of computing services. In cloud computing environments it is important to keep under control the allocation of virtual machines in physical servers. A good allocation brings benefits such as reduction costs in hardware, power, and cooling, also improving the quality of service. Recent hypervisors implement mechanisms to reduce RAM consumption by sharing identical pages between virtual machines. This dissertation presents a new algorithm for virtual machines allocation that seeks the balanced use of CPU, memory, disk, and network. In addition, it considers the potential for sharing memory among virtual machines. Simulations on three distinct scenarios demonstrate that it is superior to the standard approach when considering the balanced use of resources. Considering shared memory, there was an appreciable gain in availability of resources.