Download PDFOpen PDF in browser

Edge Networks the Future of Cloud Computing

10 pagesPublished: March 22, 2023


Computing architecture continues the pendulum swing between centralized and distributed models – driven by technological innovation in CPU/GPU architecture, memory/storage, I/O, networking, performance, and emerging use cases. For a number of years, the most recent architecture has been the cloud-based centralized computing model, which is now shifting to a distributed edge computing model. New businesses, technologies, usage models, and new applications are driving this change. The rapid growth of IoT across all segments of society is driven by 5G, Edge, low-cost sensors, embedded SoC controllers, and new enterprise applications. The impact is more data being generated by these smart sensors, increased demand for storage, data analytics, and network capacity to move this data to adjacent nodes or cloud models. These and other parameters are driving the emergence of the Edge computing model – and there are many Edge types. However, in terms of optimisation and efficiency, these approaches may not be the best solution.

Keyphrases: Cloud Computing, decentralized network, Edge Networks

In: Ajay Bandi, Mohammad Hossain and Ying Jin (editors). Proceedings of 38th International Conference on Computers and Their Applications, vol 91, pages 66--75

BibTeX entry
  author    = {Sean McGrath and Colin Flanagan and Xiaoxiao Liu and Liam Quinn and Liaoyuan Zeng},
  title     = {Edge Networks the Future of Cloud Computing},
  booktitle = {Proceedings of 38th International Conference on Computers and Their Applications},
  editor    = {Ajay Bandi and Mohammad Hossain and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {91},
  pages     = {66--75},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2398-7340},
  url       = {},
  doi       = {10.29007/13cm}}
Download PDFOpen PDF in browser