Banca de QUALIFICAÇÃO: MÁRIO ANDRADE VIEIRA DE MELO NETO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : MÁRIO ANDRADE VIEIRA DE MELO NETO
DATE: 14/04/2020
TIME: 08:40
LOCAL: REMOTO (Google Hangouts)
TITLE:

Multi-Layer Framework for Fault Management in IoT Systems

KEY WORDS:

dependability, fault tolerance, fault management, multi-layer, IoT.

PAGES: 100
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Engenharia de Software
SUMMARY:

Internet of Things (IoT) has attracted attention by projecting the vision of everything is

connected and poses many challenges. In this domain, systems are highly distributed, heterogeneous,

and large scale, so the presence of faults is usually inevitable. In the human

body, a disease causes a biological change in the human being state, altering, decreasing

or disabling certain functions of the organism. In the medical sciences, pathology

studies the nature, origin, cause and effects of a disease. Bringing this concept to computer

systems, specifically IoT, failures can result in a deviation in the correct functioning

of the system. Consequently, it becomes vital to identify possible sources of faults and

their effects to develop or apply suitable approaches to avoid, treat, and tolerate them.

Although considerable effort has been made to enhance dependability in IoT, there is

a lack of understanding of its architectural nature and multidisciplinarity. Therefore, a

restrictive systemic view of the occurrence of failures represents a relevant direction to

IoT dependability. In this thesis, we explore and understand fault pathology in an IoT

system. We propose a fault origin model for IoT systems. Also, due to multidisciplinarity

and complexity of IoT systems, requirements arise for modeling fault propagation

between architectural components leading to a possible system failure. This model details

how a failure interacts intra-layer, inter-layer, and inter-systems. Besides identifying the

fault origin and propagation, it is important to use strategies that help the existing fault

tolerance mechanisms. However, given the complexity and heterogeneity present in IoT

systems, proposes a unified way to manage faults is a challenge to be overcome. Thus, this

thesis proposes a transversal framework for fault management that allows interoperability

and integration (exchange of information) between all abstractions present in the system

stack.

BANKING MEMBERS:
Presidente - 1802737 - GIBEON SOARES DE AQUINO JUNIOR
Interno - 1678918 - NELIO ALESSANDRO AZEVEDO CACHO
Interna - 1213777 - THAIS VASCONCELOS BATISTA
Externa à Instituição - ROSSANA MARIA DE CASTRO ANDRADE - UFC