Architecting the future of Mobile Edge Computing for Web 3.0 services over 5G/6G networks
Planning Mobile Edge Computing (MEC) for The debut of Web 3.0 services across 5G and 6G networks changed IT and telecommunications. This report discusses the key concerns and trends in this emerging field. For Web 3.0 services like enhanced AI, IoT, VR, and compelling experiences, computer infrastructure must evolve. MEC brings computers and data closer to users to deliver responsive, fast, and reliable services. The backbone, 5G and 6G networks, provide unmatched speeds and functionality. Predictions are difficult. Beginning with affordability, flexibility, and resource efficiency, MEC system planning and design must balance these factors. With Web 3.0 services improving and becoming more popular, the design must enable many functions and purposes. You need cloud-native, edge computing, containerization, and microservices for quick expansion and resource optimization. In MEC, privacy and safety are major considerations. Always protect and update edge data. Future designs must feature end-to-end encryption, identity, and leak detection to protect user data and prevent theft. Also consider collaboration. Web 3.0 designs must be open and consistent since there are various devices, platforms, and communication methods. A standard architecture that allows devices and edge nodes communicate and exchange data is crucial. Utilizing bitcoin may make MEC organizations safer and more transparent. Another concern is resource management. For system performance and lifespan, load balancing, fault tolerance, and energy savings are crucial. AI-powered systems may assist optimize resource consumption, forecast assignment, and manage tasks. The future MEC architecture must include network slicing for 5G and 6G networks to virtualize network parts to meet service demands.
Authors
- V.J. Vijayalakshmi
- Roshita David
- Bhanu Juneja (ORCID: https://orcid.org/0009-0000-4309-6311)
- K Revathi
- Gajanan H Chavhan (ORCID: https://orcid.org/0000-0002-3377-5422)
- M. L. Garg (ORCID: https://orcid.org/0000-0001-8577-9209)
Institutions
- Jain University (IN)
- Shri Venkateshwara University (IN)
- Karpagam Academy of Higher Education (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/ihcsp63227.2024.10959783
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00