AI-powered cloud usage controlling system in smart home environment
Organization
Mobile & Cloud Computing Laboratory
Abstract
In a smart home environment, we are using cloud computing for powerful processing and storage of big data that are generated from IoT devices. Further we are also using Fog to handle the data in a more real time manner. Whenever we request for any service, the service provider take advantage of the resource available at fog and cloud. Fog resources are used to provide more real-time, sensitive services that require less computing and storage resources. On the other hand, cloud resources are used to keep the data (big data) for future purpose and process them. Sometimes, it is difficult to fulfil all SLA constraints only with the cloud resource and that's where the fog resource comes into the picture.
This thesis topic mainly focuses on efficient utilisation of cloud and fog resources. An AI model (most probably the DRL) needs to be developed to decide when to use fog computing and when to use cloud computing.
Some related papers: An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning
This thesis topic mainly focuses on efficient utilisation of cloud and fog resources. An AI model (most probably the DRL) needs to be developed to decide when to use fog computing and when to use cloud computing.
Some related papers: An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning
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