Enabling Real-Time AI Edge Video Analytics

Conference paper

Tsakanikas, V. and Dagiuklas, A. (2021). Enabling Real-Time AI Edge Video Analytics. IEEE International Conference on Communications. Montreal 14 - 23 Jun 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC42927.2021.9500902
AuthorsTsakanikas, V. and Dagiuklas, A.
TypeConference paper
Abstract

This paper introduces a novel distributed AI model for managing in real-time, edge based intelligent analytics, such as the ones required for smart video surveillance. The novelty relies on distributing the applications in several decomposed functions which are linked together, creating virtual chain func- tions, where both computational and communication limitations are considered. Both theoretical analysis and simulation analysis in a real-case scenario have shown that the proposed model can enable real-time surveillance analytics on a low-cost edge network. Finally, a caching mechanism is proposed and evaluated, reducing further the operational costs of the edge network.

KeywordsEdge Computing; AI applications; Virtual Function Chaining
Year2021
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Digital Object Identifier (DOI)https://doi.org/10.1109/ICC42927.2021.9500902
Accepted author manuscript
License
File Access Level
Open
Publication dates
Print06 Aug 2021
Publication process dates
Accepted10 Feb 2021
Deposited02 Mar 2021
Additional information

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Permalink -

https://openresearch.lsbu.ac.uk/item/8w37w

Download files

Accepted author manuscript
ICC_paper_v05.pdf
License: CC BY 4.0
File access level: Open

  • 187
    total views
  • 288
    total downloads
  • 3
    views this month
  • 5
    downloads this month

Export as

Related outputs

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
Kassai, K., Dagiuklas, A., Bashir, S. and Iqbal, M. (2024). GreenBytes: Intelligent Energy Estimation for Edge-Cloud. IET 6G and Future Networks Conference (IET 6G 2024). London, UK 24 - 25 Jun 2024 Institution of Engineering and Technology (IET). https://doi.org/10.1049/icp.2024.2237
Direction Estimation of the Attacked Signal in PBCH of 5G NR
Kazemian, M., Dagiuklas, A. and Jasperneite, J. (2024). Direction Estimation of the Attacked Signal in PBCH of 5G NR. IEEE Communications Letters. 28 (7), pp. 1639 - 1643. https://doi.org/10.1109/LCOMM.2024.3401741
Reactive vs Predictive Live Migration in Edge Cloud
Rani, D., Ghosh, S. and Dagiuklas, A. (2024). Reactive vs Predictive Live Migration in Edge Cloud. IEEE ICC. Denver 13 Feb - 09 Jun 2024 IEEE. https://doi.org/10.1109/ICC51166.2024.10622687
Security, Privacy and Trust of Distributed Ledgers Technology
Rasool, S., Iqbal, M., Shancang, L., Dagiuklas, A. and Ghosh, S. (2024). Security, Privacy and Trust of Distributed Ledgers Technology. in: Al-Dulami, A., Dobre, O.A. and I, C-L. (ed.) Blockchains: Empowering Technologies and Industrial Applications IEEE.
Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey
Iqbal, A., Tham, M., L., Wong, Y. J., AL-HABASHNA, A., A., Wainer, G. and Dagiuklas, A. Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey. IEEE Access.
Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50
Pal, S. and Dagiuklas, T. (2023). Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50. 2023 International Conference on Human-Centered Cognitive Systems (HCCS). Cardiff, UK 16 - 17 Dec 2023 IEEE. https://doi.org/10.1109/hccs59561.2023.10452624
The journey from 5G towards 6G
Dagiuklas, A. (2023). The journey from 5G towards 6G. International Symposium on Electrical and Electronics Engineering (ISEEE). 26 - 28 Oct 2023 IEEE. https://doi.org/10.1109/iseee58596.2023.10310418
Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap
El Boudani, B., Dagiuklas, A., Kanaris, L., Iqbal, M. and Chrysoulas, C. (2023). Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap. Electronics. 12 (19), p. 4150. https://doi.org/10.3390/electronics12194150
A New Forgery Image Dataset and its Subjective Evaluation
Hossain, F., Dagiuklas, T and Skodras, A. (2023). A New Forgery Image Dataset and its Subjective Evaluation. 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). London 19 - 21 May 2023 IEEE. https://doi.org/10.1109/globconet56651.2023.10150020
Federated Learning: Crop Classification in a Smart Farm Decentralised Network
Idoje, G., Dagiuklas, A. and Iqbal, M. (2023). Federated Learning: Crop Classification in a Smart Farm Decentralised Network. Smart Agricultural Technology. 5, p. 100277. https://doi.org/10.1016/j.atech.2023.100277
Realising URRLC for Smart Energy Network Services
Dagiuklas, A. and Alefragkis, P. (2023). Realising URRLC for Smart Energy Network Services. Symposium Communications for Energy Systems. Viena, Austria 15 - 17 Mar 2023
Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface
Dagiuklas, A. (2023). Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface. IEEE WCNC. Scotland 26 - 29 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/wcnc55385.2023.10118891
An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things
Tsakanikas, V., Dagiuklas, A., Iqbal, M., Wang, X. and Mumtaz, S. (2023). An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things. Scientific Reports. 13 (1063). https://doi.org/10.1038/s41598-023-27674-5
The Metaverse evolution: Toward Future Digital Twin Campuses
Antonijevic, P., Iqbal, M., Ubakanma, G. and Dagiuklas, A. (2022). The Metaverse evolution: Toward Future Digital Twin Campuses. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090250
Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case
Idoje, G., Mouroutoglou, C., Dagiuklas, A., Kotsiras, A., Muddesar, I, and Alefragkis, P. (2022). Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case . Smart Agricultural Technology. 4, p. 100207. https://doi.org/10.1016/j.atech.2023.100207
On the benchmarking of ResNet forgery image model using different datasets
Hossain, F. and Dagiuklas, A. (2022). On the benchmarking of ResNet forgery image model using different datasets. Human-Centered Cognitive Systems. Shangai, China 18 Nov - 17 Dec 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090275
A Generic Framework for Deploying Video Analytic Services on the Edge
Tsakanikas, V. and Dagiuklas, A. (2022). A Generic Framework for Deploying Video Analytic Services on the Edge. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2022.3218813
Supereye: smart advertisement insertion for online video streaming
Bulkan, U., Dagiuklas, A. and Iqbal, M. (2022). Supereye: smart advertisement insertion for online video streaming. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-13469-9
The role of NTN in 6G
Dagiuklas, A. and Zhu, Y. (2022). The role of NTN in 6G. https://futurenetworks.ieee.org. Virtual 19 - 21 Jul 2022 Institute of Electrical and Electronics Engineers (IEEE).
Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks
Xia, W., Zhu, Y., De Simone, L., Dagiuklas, A., Wong, K-K. and Zhen, G. (2022). Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks. IEEE Journal on Selected Areas in Communications. pp. 2630 - 2642. https://doi.org/10.1109/JSAC.2022.3191329
A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems over 6G Infrastructure
Ugwuanyi, E., Iqbal, M. and Dagiuklas, A. (2022). A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems over 6G Infrastructure. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3169424
Forgery Image Dataset
Hossain, Faria, Gul, Asim, Raja, Rameez, Dagiuklas, A. and Galkandage, Chathura (2022). Forgery Image Dataset. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.21227/9dmj-yn86
A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0
Ghosh, S., Dagiuklas, A., Iqbal, M. and Wang, X. (2021). A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2022.3141403
SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing
Ghosh, S., El Boudani, B., Dagiuklas, A. and Iqbal, M. (2021). SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing. 2021 The 4th International Conference on Information Science and Systems. https://doi.org/10.1145/3459955.3460617
Robust, Resilient and Reliable Architecture for V2X Communication
Khan, M.A., Ghosh, S., Busari, S.A., Huq, K.M.S., Dagiuklas, A., Mumtaz, S., Iqbal, M. and Rodriguez, J. (2021). Robust, Resilient and Reliable Architecture for V2X Communication. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2021.3084519
Towards An SDN Assisted IDS
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C. and Dagiuklas, T. (2021). Towards An SDN Assisted IDS. 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). https://doi.org/10.1109/ntms49979.2021.9432651
A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing
Ghosh, S., El Boudani, B., Dagiuklas, A. and Iqbal, M. (2021). A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing. 4th International Conference on Information Science and Systems ICISS 2021. Edinburugh 17 - 19 Mar 2021 ACM.
Positioning as Service for 5G IoT Networks
El Boudani, B., Kanaris, L., Kokkinis, A., Chrysoulas, C., Dagiuklas, A. and Stavrou, S. (2021). Positioning as Service for 5G IoT Networks. 2021 Telecoms Conference (ConfTELE). Leiria 10 - 12 Feb 2021 Institute of Electrical and Electronics Engineers (IEEE).
A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs)
Ugwuanyi, E.E., Iqbal, M. and Dagiuklas, A. (2021). A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs). IEEE Access. 9, pp. 37103 - 37115. https://doi.org/10.1109/ACCESS.2021.3058769
Survey for Smart Farming Technologies: Challenges and Issues
Idoje, G., Dagiuklas, A. and Iqbal, M. (2020). Survey for Smart Farming Technologies: Challenges and Issues. Computers and Electrical Engineering. 92, p. 107104. https://doi.org/10.1016/j.compeleceng.2021.107104
Multiobjective Optimization Algorithms for Wireless Sensor Networks
Kandris, D., Alexandridis, A., Dagiuklas, A., Panaousis, E. and Vergados, D. (2020). Multiobjective Optimization Algorithms for Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2020, pp. 1-5. https://doi.org/10.1155/2020/4652801
Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)
El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S. and Dagiuklas, A. (2020). Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensors. 20 (19), p. e5495. https://doi.org/10.3390/s20195495
A Centralised Hybrid Routing Model for Multi-Controller SD-WANs
Ghosh, S, Iqbal, M. and Dagiuklas, A. (2020). A Centralised Hybrid Routing Model for Multi-Controller SD-WANs. Transactions on Emerging Telecommunications Technologies. 32 (6), p. e4252. https://doi.org/10.1002/ett.4252
Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions
Kashif, M, Iqbal, M, Ullah, Z, Dagiuklas, A, Sarwar, S, Ul Qayyum, Z and Safyan, M (2020). Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3001146
DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents
Rasool, S., Saleem, A., Iqbal, M., Dagiuklas, A., Mumtaz, S. and Ul Qayyum, Z. (2020). DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents. IEEE Transactions on Computational Social Systems. pp. 827-837. https://doi.org/10.1109/TCSS.2020.2973710
Modelling quality of experience for online video advertisement insertion
Bulkan, U., Dagiuklas, A. and Iqbal, M. (2019). Modelling quality of experience for online video advertisement insertion. IEEE Transactions on Broadcasting. https://doi.org/10.1109/TBC.2020.2965064
Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper)
Shahzadi, S., Iqbal, M., Wang, X., Ubakanma, G., Dagiuklas, A. and Tchernykh, A. (2019). Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper). Wang, Xinheng, Gao, Honghao, Iqbal, Muddesar and Min, Geyong (ed.) CollaborateCom 2019 - 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing. London 19 - 22 Nov 2019 Springer. pp. 3-11
Co-Operative and Hybrid Replacement Caching for Multi-Access Mobile Edge Computing
Ugwuaynyi, E.E., Ghosh, S., Iqbal, M., Dagiuklas, A., Mumtaz, S. and Al-Dulaimi, A. (2019). Co-Operative and Hybrid Replacement Caching for Multi-Access Mobile Edge Computing. 2019 European Conference on Networks and Communications (EuCNC). Valencia, Spain 18 - 21 Jun 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EuCNC.2019.8801991
Predicting quality of experience for online video service provisioning
Bulkan, U. and Dagiuklas, A. (2019). Predicting quality of experience for online video service provisioning. Multimedia Tools and Applications. 78, p. 18787–18811. https://doi.org/10.1007/s11042-019-7164-9
Evolution of Orchestration Towards 5G
Kassai, K., Ghosh, S and Dagiuklas, A (2019). Evolution of Orchestration Towards 5G. Journal of Communication. 14 (12). https://doi.org/10.12720/jcm.14.12.1134-1140
BlueArch – An implementation of 5G Testbed
Ghosh, S, Ugwuanyi, E, Dagiuklas, A and Iqbal, M (2019). BlueArch – An implementation of 5G Testbed. Journal of Communication. https://doi.org/10.12720/jcm.14.12.1110-1118
Video surveillance systems-current status and future trends
Tsakanikas, V. and Dagiuklas, A. (2018). Video surveillance systems-current status and future trends. Computers and Electrical Engineering. 70, pp. 736-753. https://doi.org/10.1016/j.compeleceng.2017.11.011
VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment
Tsakanikas, V. and Dagiuklas, A. (2018). VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment. IEEE Global Communications Conference (GLOBECOM). Abu Dhabi, United Arab Emirates, United Arab Emirates 09 - 13 Dec 2018 Institute of Electrical and Electronics Engineers (IEEE).
On the Load Balancing of Edge Computing resources for on-line video delivery
Bulkan, U., Dagiuklas, A., Iqbal, M, Saidul Huq, M, Al-Dulaimi, A and Rodriguez, J (2018). On the Load Balancing of Edge Computing resources for on-line video delivery. IEEE Access. 6 (2018), pp. 73916-73927. https://doi.org/10.1109/ACCESS.2018.2883319
A Novel Mobility-Aware Playout Algorithm for VoIP Services
Lykourgiotis, A, Kotsopoulos, S and Dagiuklas, A. (2017). A Novel Mobility-Aware Playout Algorithm for VoIP Services. Wireless Personal Communications. 96 (2), pp. 2427-2446. https://doi.org/10.1007/s11277-017-4305-1
Predicting Quality Of Experience For Online Video Systems Using Machine Learning
Dagiuklas, T and Bulkan, U (2017). Predicting Quality Of Experience For Online Video Systems Using Machine Learning. 19th IEEE International Workshop on Multimedia Signal Processing. Luton 16 - 18 Oct 2017 Institute of Electrical and Electronics Engineers (IEEE).
IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes
Andriopoulou, F, Orphanoudakis, T and Dagiuklas, A. (2017). IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes. 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. Rome 09 - 11 Oct 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WiMOB.2017.8115830
End-to-end quality aware optimization for multimedia clouds
Athanasopoulos, D, Politis, I, Lykourgiotis, A, Tselios, C and Dagiuklas, A. (2016). End-to-end quality aware optimization for multimedia clouds. IEEE International Conference on Telecommunications and Multimedia. Heraklion, Greece 25 - 27 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
V2I Applications in Highways: How RSU Dimensioning Can Improve Service Delivery
Charalampopoulos, G, Dagiuklas, T and Chrysikos, T (2016). V2I Applications in Highways: How RSU Dimensioning Can Improve Service Delivery. 2nd International Conference on Telecommunications (ICT). Thessaloniki, Greece 16 - 18 May 2016 London South Bank University.
Non-Conforming Behavior Detection for VoIP-Based Network Systems
Galiotos, P, Anagnostopoulos, C, Dagiuklas, T and Kotsopoulos, S (2016). Non-Conforming Behavior Detection for VoIP-Based Network Systems. IEEE International Conference on Communications. Kuala Lumpur, Malaysia 23 - 27 May 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC.2016.7511103
Techno-economic analysis for the deployment of PPDR services over 4G/4G+ Networks
Chrysikos, T, Galiotos, P, Dagiuklas, A. and Kotsopoulos, S (2016). Techno-economic analysis for the deployment of PPDR services over 4G/4G+ Networks. IEEE International Conference on Telecommunications and Multimedia. Heraklion, Greece 25 - 27 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
EMYNOS: Next Generation Emergency Communication
Markakis, E, Lykourgiotis, A, Politis, I, Dagiuklas, T. and Rebahi, Y (2016). EMYNOS: Next Generation Emergency Communication. IEEE Communications Magazine. 55 (1), pp. 139-145. https://doi.org/10.1109/MCOM.2017.1600284CM
Integrating IoT and Fog Computing for Healthcare Service Delivery
Andriopoulou, F, Dagiuklas, T. and Orphanoudakis, T (2016). Integrating IoT and Fog Computing for Healthcare Service Delivery. in: Keramidas, G, Voros, N and Hübner, M (ed.) Components and Services for IoT Platforms: Paving the Way for IoT Standards Springer. pp. 213-232
Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET
Chrysikos, T, Birkos, K, Dagiuklas, A. and Kotsopoulos, S (2016). Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET. Physical Communication. https://doi.org/10.1016/j.phycom.2016.11.003