Clustered Edge Intelligence
Organization
Mobile & Cloud Computing Laboratory
Abstract
You know about clustering the computing nodes, servers, containers or clustering the data, or the IoT devices. Several clustering algorithms are designed and developed for data analysis. But this thesis is talking about clustering the edge intelligence.
Clustered Edge Intelligence (CEI) works with edge computing concepts. In edge computing, the intelligence is embedded onto the edge devices. For efficient usage of the resource and power constraint IoT devices, different clustering mechanisms are developed. The major limitation with such an approach is that it is mainly focused on the device level. This is where CEI differs from conventional edge intelligence. In CEI, the devices are clustered based on the specific task and the implemented intelligence. As a result, each cluster may consist of several IoT devices irrespective of their type, location, and properties.
This thesis focuses on surveying the existing research work towards CEI and designing a framework for the same.
Related paper: Securing clustered edge intelligence with blockchain
Clustered Edge Intelligence (CEI) works with edge computing concepts. In edge computing, the intelligence is embedded onto the edge devices. For efficient usage of the resource and power constraint IoT devices, different clustering mechanisms are developed. The major limitation with such an approach is that it is mainly focused on the device level. This is where CEI differs from conventional edge intelligence. In CEI, the devices are clustered based on the specific task and the implemented intelligence. As a result, each cluster may consist of several IoT devices irrespective of their type, location, and properties.
This thesis focuses on surveying the existing research work towards CEI and designing a framework for the same.
Related paper: Securing clustered edge intelligence with blockchain
Graduation Theses defence year
2022-2023
Supervisor
Chinmaya Dehury
Spoken language (s)
English
Requirements for candidates
Level
Masters
Keywords
Application of contact
Name
Chinmaya Dehury
Phone
E-mail