Fog computing realization for big data analytics

Farhad Mehdipour, Bahman Javadi, Aniket Mahanti, Guillermo Ramirez-Prado

Research output: Chapter in Book / Conference PaperChapter

21 Citations (Scopus)

Abstract

Internets of Things (IoT) deployments generate large quantities of data that need to be processed and analyzed in real time. Current IoT systems do not enable low-latency and high-speed processing of data and require offloading data processing to the cloud (example applications include smart grid, oil facilities, supply chain logistics, and flood warning). The cloud allows access to information and computing resources from anywhere and facilitates virtual centralization of application, computing, and data. Although cloud computing optimizes resource utilization, it does not provide an effective solution for hosting big data applications [1].
Original languageEnglish
Title of host publicationFog and Edge Computing: Principles and Paradigms
EditorsRajkumar Buyya, Satish Narayana Srirama
Place of PublicationU.S.
PublisherJohn Wiley & Sons
Pages261-290
Number of pages30
ISBN (Electronic)9781119525066
ISBN (Print)9781119524984
Publication statusPublished - 2019

Keywords

  • Internet of things
  • big data
  • cloud computing

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