Name: Diego Giacomelli Cardoso
Type: MSc dissertation
Publication date: 25/02/2019
Advisor:

Name Rolesort descending
Rodolfo da Silva Villaca Advisor *

Examining board:

Name Rolesort descending
Rodolfo da Silva Villaca Advisor *
Antonio Augusto de Aragão Rocha External Examiner *
Vinicius Fernandes Soares Mota Internal Examiner *

Summary: Cloud computing is a paradigm capable of providing processing, storage, network and other
resources, for different types of applications. Cloud computing becomes popular by allowing
the sharing of resource usage by different applications. This makes it attractive because
clouds allow applications to operate on demand, reducing operating costs by application
providers. Virtual machines provided by clouds encompass or host applications. With the
use by these applications, virtual machines may require more processing power or memory
resources. In case of saturation, situation WHERE the virtual machine has bottlenecks in
some of its resources, there may be loss of performance in the application. Therefore, there
is a challenge of how to manage the resources of a cloud in order to meet the demands
of different virtual machines and improving the allocation of these resources, in order to
avoid the saturation of resource use. In this context, this work proposes a prototype of
cloud scaler, which delivers on-demand resources to saturated virtual machines, or removes
underutilized resources from virtual machines, without interrupting the virtual machine
itself. To evaluate the proposed prototype, three case studies are made, the first with a
synthetic load generator, the second with a web server under heavy load, and the third is
the remote control of a robot in an intelligent space.

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