Fog computing realization for big data analytics

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

Fog computing realization for big data analytics

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

Research output: Chapter in Book / Conference Paper › Chapter

24 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 language	English
Title of host publication	Fog and Edge Computing: Principles and Paradigms
Editors	Rajkumar Buyya, Satish Narayana Srirama
Place of Publication	U.S.
Publisher	John Wiley & Sons
Pages	261-290
Number of pages	30
ISBN (Electronic)	9781119525066
ISBN (Print)	9781119524984
Publication status	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Internet of things
big data
cloud computing

Cite this

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title = "Fog computing realization for big data analytics",

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].",

keywords = "Internet of things, big data, cloud computing",

author = "Farhad Mehdipour and Bahman Javadi and Aniket Mahanti and Guillermo Ramirez-Prado",

year = "2019",

language = "English",

isbn = "9781119524984",

pages = "261--290",

editor = "Rajkumar Buyya and Srirama, \{Satish Narayana\}",

booktitle = "Fog and Edge Computing: Principles and Paradigms",

publisher = "John Wiley \& Sons",

}

TY - CHAP

T1 - Fog computing realization for big data analytics

AU - Mehdipour, Farhad

AU - Javadi, Bahman

AU - Mahanti, Aniket

AU - Ramirez-Prado, Guillermo

PY - 2019

Y1 - 2019

N2 - 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].

AB - 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].

KW - Internet of things

KW - big data

KW - cloud computing

UR - http://hdl.handle.net/1959.7/uws:57202

UR - https://ebookcentral.proquest.com/lib/uwsau/reader.action?docID=5630245&ppg=291

M3 - Chapter

SN - 9781119524984

SP - 261

EP - 290

BT - Fog and Edge Computing: Principles and Paradigms

A2 - Buyya, Rajkumar

A2 - Srirama, Satish Narayana

PB - John Wiley & Sons

CY - U.S.

ER -

Fog computing realization for big data analytics

Abstract

UN SDGs

Keywords

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