Uma abordagem para a definição e localização de máquinas virtuais para aplicações de alto desempenho em ambientes de nuvem

• Autor(a) principal: Mc Evoy, Giacomo Victor Valenzano
• Data de Publicação: 2014
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/202
• topic: Arquitetura de redes de computadores; Redes e sistemas distribuídos; Computação em Cloud; Virtualização; Architecture of computer networks; Distributed systems and networks; Cloud Computing; Virtualization; CIÊNCIAS EXTATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃO::SISTEMAS DE COMPUTAÇÃO::ARQUITETURA DE SISTEMAS DE COMPUTAÇÃO

The efficient deployment of HPC (High Performance Computing) applications on Clouds offers many challenges, in particular, for communication-intensive applications. One strategy to mitigate performance overheads caused by high communication latency is to schedule requested Virtual Machines (VMs) effectively onto physical resources by optimizing VM placement. In this work, we study the case of scientific applications in virtual clusters by analyzing how different VM profiles and placements can affect observed performance of a parallel application that uses distributed memory. The main contribution of this thesis is a methodology with the following features: a) the representation of VM placement and virtual clusters through the placement of virtual cores; b) a software for systematic execution and obtainment of metrics under different configurations; c) performance analysis aware of core placement, resource contention and resource usage patterns; d) modeling and prediction of performance by feature extraction using Canonical Correlation Analysis on kernel metrics, according to the Dwarf classification.