Intelligent network design driven by big data analytics, IoT, AI and cloud computing
As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English English |
| Published: |
IET
2022
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/10041/1/PBPC054_Kumar_cover_approved%20with%20spine.pdf https://repository.londonmet.ac.uk/10041/2/iet_Kumar_Frontmatter.pdf |
| _version_ | 1824446525205381120 |
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| author | Kumar, Sunil Mapp, Glenford Cengiz, Korhan |
| author_facet | Kumar, Sunil Mapp, Glenford Cengiz, Korhan |
| author_sort | Kumar, Sunil |
| collection | LMU |
| description | As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute.
This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications.
This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers. |
| first_indexed | 2025-02-19T01:16:32Z |
| format | Book |
| id | oai:repository.londonmet.ac.uk:10041 |
| institution | London Metropolitan University |
| language | English English |
| last_indexed | 2025-02-19T01:16:32Z |
| publishDate | 2022 |
| publisher | IET |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:100412025-01-23T12:23:29Z https://repository.londonmet.ac.uk/10041/ Intelligent network design driven by big data analytics, IoT, AI and cloud computing Kumar, Sunil Mapp, Glenford Cengiz, Korhan 000 Computer science, information & general works 600 Technology As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers. IET 2022 Book PeerReviewed text en https://repository.londonmet.ac.uk/10041/1/PBPC054_Kumar_cover_approved%20with%20spine.pdf text en https://repository.londonmet.ac.uk/10041/2/iet_Kumar_Frontmatter.pdf Kumar, Sunil, Mapp, Glenford and Cengiz, Korhan (2022) Intelligent network design driven by big data analytics, IoT, AI and cloud computing. Computing and Networks . IET, London (UK). ISBN 9781839535338 https://shop.theiet.org/intelligent-network-design-driven-by-big-data-analytics-iot-ai-and-cloud-computing |
| spellingShingle | 000 Computer science, information & general works 600 Technology Kumar, Sunil Mapp, Glenford Cengiz, Korhan Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title | Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title_full | Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title_fullStr | Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title_full_unstemmed | Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title_short | Intelligent network design driven by big data analytics, IoT, AI and cloud computing |
| title_sort | intelligent network design driven by big data analytics iot ai and cloud computing |
| topic | 000 Computer science, information & general works 600 Technology |
| url | https://repository.londonmet.ac.uk/10041/1/PBPC054_Kumar_cover_approved%20with%20spine.pdf https://repository.londonmet.ac.uk/10041/2/iet_Kumar_Frontmatter.pdf |
| work_keys_str_mv | AT kumarsunil intelligentnetworkdesigndrivenbybigdataanalyticsiotaiandcloudcomputing AT mappglenford intelligentnetworkdesigndrivenbybigdataanalyticsiotaiandcloudcomputing AT cengizkorhan intelligentnetworkdesigndrivenbybigdataanalyticsiotaiandcloudcomputing |