Mechanisms of self-configuration and self-ptimization for virtualized architectures aiming at the provision of quality of service

Author(s)

Luis Hideo Vasconcelos Nakamura

• Document type: Doctoral Thesis
• Press: São Carlos.
• Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
• Defense date: 2017-04-19

Examining board members

Marcos José Santana; Vanderlei Bonato; Celso Massaki Hirata; Edmundo Roberto Mauro Madeira; Liria Matsumoto Sato

• Advisor: Marcos José Santana

Abstract

The purpose of this PhD project involves the research about autonomic computing, focusing on the development of self-configuration and self-optimization mechanisms for virtualized architectures that aims to ensure the provision of Quality of Service. These mechanisms make use of autonomous elements that are aided by an ontology. Therefore, SemanticWeb tools are used in order to allow the ontology to represent a knowledge base with information of the computational resources. Such information is used by optimization algorithms that take the decision of choosing a new configuration that aims at optimizing the architecture performance based on rules predefined by the administrator. The configuration and optimization usually involve elements of software that must be managed by professionals in the Information Technology (IT) field and part of this management is composed of common tasks, for example, monitoring tests, reconfigurations and performance evaluations. These tasks take some time and therefore generate costs and distress to the professionals. Thus, this project aims at automating some of these common tasks, facilitating the work of IT professionals and allowing them to focus on more critical tasks. Therefore, to achieve this goal a study was performed and distributed mechanisms based on Autonomic Computing and Semantic Web were created allowing the configuration and optimization of resources automatically. The individual results of each mechanism indicate that it is possible to achieve a satisfactory level of self-configuration and self-optimization for virtualized architectures. The self-configuration mechanism has achieved better results with the resource monitoring approach rather than using predictions and the self-optimization mechanism has proven that its methodology and algorithm are applicable in the search for an optimized configuration to meet the SLA agreed. (AU)

• FAPESP's process: 11/12670-5 - Mechanisms of Self-configuration and Self-optimization for Virtualized Architectures aiming the Provision of Quality of Service.
• Grantee: Luis Hideo Vasconcelos Nakamura
• Support Opportunities: Scholarships in Brazil - Doctorate