Edge computing: a future trend for IoT and big data processing

Zhongyi Fu, Young Choon Lee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


The huge amount of data generated by IoT devices at the edge of network has been imposing significant burden on cloud computing in terms of network latency and bandwidth in particular. Edge computing provides a way to address several latency -related limitations of cloud computing. Nevertheless, edge computing does not aim to replace cloud computing; instead, it can be implemented to cooperate with the data centre to address several limitations of cloud computing, including, but not limit to, reduce latency and bandwidth consumption, provide location -awareness service and improve computing performance and QoS. Although the implementation of edge computing can face a variety of issues, especially in the security and resource -allocation aspects, edge computing can create a new value chain and thus benefits all participants, including customers, service providers, and application and network equipment vendors. The driving forces behind the development of edge computing may include the demand for the applications and IoT devices which require low -latency and real-time processing. Currently, many organisations have realised the potential of edge computing, including Amazon and Dell, and thus they have been developing corresponding products and services. Edge computing can be the next era after cloud computing which brings benefits to all participants as well as changes the world.
Original languageEnglish
Title of host publicationBig Data-enabled Internet of Things
EditorsMuhammad Usman Shahid Khan, Samee U. Khan, Albert Y. Zomaya
Place of PublicationLondon
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages14
ISBN (Electronic)9781785616372
ISBN (Print)9781785616365
Publication statusPublished - 2019

Publication series

NameIET Computing Series


  • Amazon
  • Big data
  • Big data processing
  • Cloud computing
  • Computer network security
  • Data centre
  • Dell
  • Edge computing
  • Internet of things
  • IoT devices
  • Network equipment vendors
  • QoS
  • Resource allocation
  • Resource-allocation
  • Security


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