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.

Dades bibliogràfiques
Autors principals:	Chakraborty, Dhruba, Rabbi, Mahima, Hossain, Maisha, Khaled, Saraf Noor, Oishi, Maria Khanom
Altres autors:	Alam, Md. Golam Rabiul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2022
Matèries:	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)
Accés en línia:	http://hdl.handle.net/10361/17045

id	10361-17045
record_format	dspace
spelling	10361-170452022-07-31T21:01:37Z Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks Chakraborty, Dhruba Rabbi, Mahima Hossain, Maisha Khaled, Saraf Noor Oishi, Maria Khanom Alam, Md. Golam Rabiul Shakil, Arif Department of Computer Science and Engineering, Brac University 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) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 29-30). Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing technology opens the door for content caching in the edge of the network. However, still we have to decide which contents we should cache and which content we should replace from the cache. Deep learning based predictive analytics can play an important role in selecting contents for caching purposes. In this research, we will use Long shortterm memory(LSTM) based Recurrent Neural Network(RNN) for decentralized content caching at the hierarchical edge of the network. Dhruba Chakraborty Mahima Rabbi Maisha hossain Saraf Noor Khaled Maria Khanom Oishi B. Computer Science 2022-07-31T05:51:45Z 2022-07-31T05:51:45Z 2022 2022-01 Thesis ID 18101028 ID 18101563 ID 18201184 ID 18141009 ID 17301029 http://hdl.handle.net/10361/17045 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 30 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	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)
spellingShingle	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) Chakraborty, Dhruba Rabbi, Mahima Hossain, Maisha Khaled, Saraf Noor Oishi, Maria Khanom Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
author2	Alam, Md. Golam Rabiul
author_facet	Alam, Md. Golam Rabiul Chakraborty, Dhruba Rabbi, Mahima Hossain, Maisha Khaled, Saraf Noor Oishi, Maria Khanom
format	Thesis
author	Chakraborty, Dhruba Rabbi, Mahima Hossain, Maisha Khaled, Saraf Noor Oishi, Maria Khanom
author_sort	Chakraborty, Dhruba
title	Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
title_short	Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
title_full	Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
title_fullStr	Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
title_full_unstemmed	Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
title_sort	deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/17045
work_keys_str_mv	AT chakrabortydhruba deeplearningbasedpredictiveanalyticsfordecentralizedcontentcachinginhierarchicaledgenetworks AT rabbimahima deeplearningbasedpredictiveanalyticsfordecentralizedcontentcachinginhierarchicaledgenetworks AT hossainmaisha deeplearningbasedpredictiveanalyticsfordecentralizedcontentcachinginhierarchicaledgenetworks AT khaledsarafnoor deeplearningbasedpredictiveanalyticsfordecentralizedcontentcachinginhierarchicaledgenetworks AT oishimariakhanom deeplearningbasedpredictiveanalyticsfordecentralizedcontentcachinginhierarchicaledgenetworks
_version_	1814308075643863040

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

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