Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiska uppgifter
Huvudupphovsmän:	Chakraborty, Dhruba, Rabbi, Mahima, Hossain, Maisha, Khaled, Saraf Noor, Oishi, Maria Khanom
Övriga upphovsmän:	Alam, Md. Golam Rabiul
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Content Caching Edge networking Deep learning Recurrent Neural Network(RNN) Long short-term memory(LSTM) Decentralized Hierarchical Cognitive learning theory (Deep learning) Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/17045

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