Light Weight Native Edge Load Balancers for Edge Load Balancing
by P. Ravi Kumar 1 , S. Rajagopalan 2 , Joseph Charles P. 3Creative Commons Attribution 4.0 International License
Abstract
Abstract
Edge computing has become an essential aspect of modern computing systems. Edge computing involves processing data at the edge of the network, closer to where the data is generated. The ability to process data in real-time at the edge provides various benefits such as lower latency, improved response times, and reduced network congestion. Load balancing is a critical component of edge computing, which distributes the workload across multiple edge devices, ensuring that the workload is evenly distributed. This paper discusses current trends in edge computing load balancing techniques, including static, dynamic, and hybrid load balancing approaches.
Keywords: Edge Comuting; TCP (Transmission Control Protocol); HTTS (Hypher Text Transfer Protocol Secure); NELB (Native Edge Load Balancer); SSL (Secure Socket Layer); TSL (Transport Layer Security); IoT (Ineternet of Things) and DDoS (Distributed Denial of Service)
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References
Kyryk, M.; Pleskanka, N.; Pleskanka, M.; Nykonchuk, P. (2020). Load Balancing Method in Edge Computing. 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, pp. 978981. https://doi.org/10.1109/TCSET49122.2020.235584.
Kalpana, M.S. (2019). Load Balancing in Cloud Computing with Enhanced Genetic Algorithm. International Journal of Recent Technology and Engineering, 8, 926930.
Li, G.; Yao, Y.; Wu, J. et al. (2020). A new load balancing strategy by task allocation in edge computing based on intermediary nodes. EURASIP Journal on Wireless Communications and Networking, 2020, 3. https://doi.org/10.1186/s13638-019-1624-9.
Salhani, M. (2019). Comparison of the Proactive and Reactive Algorithms forLoad Balancing in UDN Networks. Journal of Communications, 14, 11191126. https://doi.org/10.12720/jcm.14.12.1119-1126.
Herbert Raj, P.; Ravi Kumar, P.; Jelciana, P. (2019). Load Balancing in Mobile Cloud Computing using Bin Packing’s First Fit Decreasing Method; Springer Nature: Switzerland, Volume 888, pp. 97–106.
Herbert Raj, P. (2021) Task Allocation in Edge Computing using Palmer’s Sequencing Algorithm, 2nd International Conference on Data Intelligence and Cognitive Informatics 2021; Springer: India. https://doi.org/10.1007/978-981-16-6460-1_47.
Herbert Raj, P.; Raja Gopalan, S.; Padmapriya, A.; Charles, S. (2010). Achieving Balanced Traffic Distribution In MPLS Networks. 3rd IEEE International Conference on Computer. https://doi.org/10.1109/ICCSIT.2010.5564831.
Rajagopalan, S.; Naganathan, E.R.; Herbert Raj, P. (2011). Ant Colony Optimization Based Congestion Control Algorithm for MPLS Network. International Conference on High Performance Architecture and Grid Computing, Springer: Berlin Heidelberg, Volume 169, pp 214223. https://doi.org/10.1007/978-3-642-22577-2_29.
Naganathan, E.R.; Rajagopalan S.; Herbert Raj, P. (2010). Traffic Flow Analysis Model based Routing Protocol for Multi-Protocol Label Switching Network. Journal of Computer Science, 7, 16741678.
Herbert Raj, P. (2020). An Edge DNS Global Server Load Balancing for Load Balancing in Edge Computing. 3rd International Conference on Computer Networks, Big Data and IoT. https://doi.org/10.1007/978-981-16-0965-7_57.
Ravi Kumar, P.; Herbert Raj, P.; Tajuddin, S. (2022). Advances in Cyber Security and Intelligent Analytics : Exploring the possibility of blockchain and smart contract-based digital certificate, 1st ed.; CRC Press: Boca Raton, USA.
Raja, S.V.K.; Herbert Raj, P. (2007). Balanced Traffic Distribution for MPLS using Bin Packing Method, International Conference on Intelligent Sensors, Sensor Networks and Information Processing, University of Melbourne, Melbourne, Australia, pp: 101-106.
Herbert Raj, P.; Ravi Kumar, P.; Jelciana, P. (2016). Mobile Cloud Computing: A survey on Challenges and Issues. International Journal of Computer Science and Information Security, 14, 165170.
Pang, S.; Wang, N.; Yu, S.; Ji, X. (20 Edge Computing Load Balancing Offload Lightweight Strategy Based on Improved Optimal Stopping Theory. Research Square. https://doi.org/10.21203/rs.3.rs-1974998/v1.
Nguyen, Q.M.; Pha, L.A.; Kim, T. (2022). Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy. Sensor, 22, 2869. https://doi.org/10.3390/s22082869.
Shameem, P.; Shaji, R.S. (2013). A Methodological Survey on Load Balancing Techniques in Cloud Computing. Asian Journal of Information Technology, 12, 160169. https://doi.org/10.3923/ajit.2013.160.169.
Herbert Raj, P.; Ravi Kumar, P.; Jelciana, P.; Rajagopalan, S. (2020). Modified First Fit Decreasing Method for Load Balancing in Mobile Clouds. 4th International Conference on Intelligent Computing and Control Systems, Vaigai College Engineering, Madurai, India. https://doi.org/10.1109/ICICCS48265.2020.9120929.
Herbert Raj, P. (2020). Johnson’s Sequencing for Load Balancing in Multi Access Edge Computing. 3rd International Conference on Computer Networks, Big Data and IoT, India. https://doi.org/10.1007/978-981-16-0965-7_24.
Herbert Raj, P. (2021). Extended Johnson’s Sequencing for Load Balancing in Edge Computing. 5th International Conference on Intelligent Computing and Control Systems, pp 142146. https://doi.org/10.1109/ICICCS51141.2021.9432208.
Wang, H.; Wang, Y.; Liang, G.; Gao, Y.; Gao, W.; Zhang, W. (2021). Research on load balancing technology for microservice architecture. MATEC Web of Conferences, 336, 08002. https://doi.org/10.1051/matecconf/202133608002.