An Experimental Survey of FOG Computing and IOT : Escalate the Cloud to Where the Things Are

Authors(1) :-Saba Sultana

Even though the increasing usage of cloud computing, there are still many issues that are not solved due to inherent problems of cloud computing such as unreliable latency, lack of mobility support and location-awareness.Fog computing has been introduced as a technology to bridge the gap between remote data centers and Internet of Things (IoT) devices. Sanctioning a wide range of benefits, including enhanced security, decreased bandwidth, and reduced latency, fog is an appropriate paradigm for many IoT services. Fog computing can address those problems by providing elastic resources and services to end users at the edge of network, while cloud computing are more about providing resources distributed in the core network. This survey discusses the definition of fog computing and similar concepts, introduces representative application scenarios, and identifies various aspects of issues we may encounter when designing and implementing fog computing systems. It also highlights some opportunities and challenges, as direction of potential future work, in related techniques that need to be considered in the context of fog computing.

Authors and Affiliations

Saba Sultana
CSE, LORDS Institute of Engineering and Technology, Hyderabad, Telangana, India

IOT, Cloud Computing, Fog Computing, Abstraction Layer and Orchestration Layer

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 444-450
Manuscript Number : IJSRST1738103
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Saba Sultana, " An Experimental Survey of FOG Computing and IOT : Escalate the Cloud to Where the Things Are", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 8, pp.444-450, November-December-2017.
Journal URL : http://ijsrst.com/IJSRST1738103

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