Fog Computing: Terminologies, Architecture and Challenges
Harsimrat Singh1, Chetan Marwaha2
1Harsimrat Singh*, Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India..
2Chetan Marwaha, Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India.
Manuscript received on October 02, 2019. | Revised Manuscript received on October 10, 2019. | Manuscript published on October 15, 2019. | PP: 7-13 | Volume-6, Issue-3, October 2019. | Retrieval Number: C1162106319/2019©BEIESP | DOI: 10.35940/ijitee.C1162.116319
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of things (IOT) made the world connected to each other through Internet. These gadgets are important to store data, to exchange data and to collect data from other sources. These devices are not perfectly capable to cooperate with data centers directly based on some parameters such as latency, resource availability, load balancing, scheduling and security. Fog computing (FC) paradigm is introduced to overcome the problems of these parameters. As it cooperate with centralized data centers. This paper presents a survey on Fog computing terminology. Here, the term fog computing has been discussed. Further its architecture, its challenges are highlighted. An overview of further research work related to dynamic job scheduling has been discussed.
Keywords: Internet of things, Fog computing, Cloud computing, Latency.