Edge Networks the Future of Cloud Computing

Sean McGrath, Colin Flanagan, Xiaoxiao Liu, Liam Quinn, Liaoyuan Zeng

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)66-75
Number of pages10
JournalEPiC Series in Computing
Volume91
DOIs
Publication statusPublished - 2023
Event38th International Conference on Computers and Their Applications, CATA 2023 - Virtual, Online
Duration: 20 Mar 202322 Mar 2023

Keywords

  • Cloud Computing
  • decentralized network
  • Edge Networks

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