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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Auto-gerenciamento de recursos em infraestruturas baseada em cont?ineres para Desktop-as-a-service: um estudo de caso nos laborat?rios de inform?tica da ECT/UFRN

Bandeira, Geomerez Raduan de Oliveira 22 June 2017 (has links)
Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-09-05T21:25:06Z No. of bitstreams: 1 GeomerezRaduanDeOliveiraBandeira_DISSERT.pdf: 2930861 bytes, checksum: b7311886e410f311c89413b3ca1e1fd4 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-09-18T21:03:44Z (GMT) No. of bitstreams: 1 GeomerezRaduanDeOliveiraBandeira_DISSERT.pdf: 2930861 bytes, checksum: b7311886e410f311c89413b3ca1e1fd4 (MD5) / Made available in DSpace on 2017-09-18T21:03:44Z (GMT). No. of bitstreams: 1 GeomerezRaduanDeOliveiraBandeira_DISSERT.pdf: 2930861 bytes, checksum: b7311886e410f311c89413b3ca1e1fd4 (MD5) Previous issue date: 2017-06-22 / Uma alternativa vi?vel para institui??es que possuem m?ltiplos usu?rios com necessidade de acessar aplica??es desktops ? o Desktop-as-a-Service (DaaS), que caracteriza-se pela entrega de um ambiente desktop que executa remotamente. A virtualiza??o de recursos em conjunto com o balanceamento de carga s?o amplamente utilizados em infraestruturas que hospedam servi?os com demandas sazonais, replicando inst?ncias e distribuindo as requisi??es entre elas para alcan?ar elasticidade. Entretanto o balanceamento de carga n?o ? a solu??o mais adequada para o DaaS, uma vez que sess?es nesse servi?o s?o de longa dura??o e n?o s?o migradas para um novo servidor que seja adicionado ao balanceador, permanecendo a lentid?o percebida pelos usu?rios j? conectados a um servidor sobrecarregado. Neste contexto, o redimensionamento din?mico de recursos em uma inst?ncia virtual se mostra como a abordagem mais apropriada. Contudo, solu??es tradicionais de virtualiza??o exigem a reinicializa??o do servidor afetado, e consequentemente, finalizando as sess?es DaaS com seus respectivos usu?rios. Por outro lado, virtualiza??o baseada em cont?ineres permitem tal redimensionamento, por?m exige interven??es manuais do administrador para ajustar a quantidade de recursos mediante ? demanda. Este trabalho apresenta o ConManager, um controlador autoadaptativo para ambientes baseados em cont?ineres, que tem como prop?sito o redimensionamento din?mico de recursos virtualizados para lidar com sobrecargas sazonais. A proposta foi aplicada como estudo de caso nos laborat?rios de inform?tica da Escola de Ci?ncias e Tecnologia da Universidade Federal do Rio Grande do Norte. O ConManager monitora a utiliza??o de recursos nos laborat?rios, detectando cen?rios de sobrecarga, e propondo planos de adapta??o que s?o aplicados na infraestrutura de suporte ao servi?o DaaS, efetivamente redistribuindo recursos de cont?ineres subutilizados para os sobrecarregados. A ferramenta se encontra em uso e isso trouxe ganhos percept?veis como diminui??o do tempo de adapta??o de recursos e a simplifica??o do gerenciamento do ambiente, beneficiando a equipe de tecnologia da informa??o da institui??o, respons?vel por manter o servi?o e ? comunidade acad?mica que desfruta de um ambiente computacional mais est?vel. / A viable alternative for institutions that have multiple users who need access to desktop applications is Desktop-as-a-Service (DaaS), which is characterized by the delivery of a desktop environment that runs remotely. Resource virtualization and load balancing are widely used techniques in infrastructures that host services with seasonal demands, replicating instances and distributing requests among them to achieve elasticity. However load balancing is not the most suitable solution for DaaS, since sessions in this service are long lasting and are not migrated to a new server that is added to the balancer, remaining the slowness perceived by users already connected to an overloaded server. In this context, the dynamic resizing of resources in a virtual instance is shown as the most appropriate approach. However, traditional virtualization solutions require a reboot of the affected server, and consequently, terminating DaaS sessions with their respective users. On the other hand, container-based virtualization allows such resizing, but requires manual administrator intervention to adjust the amount of resources on demand. This work presents ConManager, a self-adaptive controller for container-based environments, which aims to dynamically resize virtualized resources to handle seasonal loads. The proposal has been applied as a case study in the computer laboratories of the Escola de Ci?ncias e Tecnologia of the Universidade Federal do Rio Grande do Norte. ConManager monitors the use of resources in laboratories, detecting overhead scenarios, and proposing adaptation plans that are applied to the DaaS service support infrastructure, effectively redistributing resources from underutilized containers to overloaded ones. The tool is currently in use and has brought noticeable gains such as reduced time to adapt resources and simplified environmental management, benefiting the institution?s information technology team, responsible for maintaining the service and the academic community that enjoys a Stable computing environment.

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