Towards self-healing in the internet of things by log analytics and process mining

• The Internet of Things (IoT) will be used in increasingly complex and critical applications where heterogeneous devices will work together in connected systems. In this paper we address methods for log-analytics and process mining in order to support automatic problem detection and diagnosis in IoT. We introduce the idea of generating consistent event logs over various IoT devices in a particular format, and later a roadmap for it to be used in process mining. The paper also provides information about various statistics on process mining and its future prospects. Those methods are essential to provide a foundation for the future generation IoT systems that will be capable of self-healing. © ESREL2020-PSAM15 Organizers.Published by Research Publishing, Singapore.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Nyckelord

Diagnostics

Event correlation

Internet of Things

Prognostics

Self-healing

Self-repair

Threat detection

Data mining

Safety engineering

Self-healing materials

Connected systems

Critical applications

Future generations

Future prospects

Heterogeneous devices

Internet of thing (IOT)

Problem detection

Process mining

Computer Science

Datavetenskap

Publikations- och innehållstyp

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