Clustered Edge Intelligence

Organisatsiooni nimi
Mobile & Cloud Computing Laboratory
Kokkuvõte
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
Lõputöö kaitsmise aasta
2022-2023
Juhendaja
Chinmaya Dehury
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Magister
Märksõnad
#cloudcomputing, #iot, #ML #AI, #blockchain, #edgecomputing

Kandideerimise kontakt

 
Nimi
Chinmaya Dehury
Tel
E-mail
Chinmaya.Dehury@ut.ee
Vaata lähemalt
https://docs.google.com/document/d/14SPgOTF6f8nw8bpxl-3RMbDxwELranK1_bYBK2jzoy8/edit?usp=sharing