Recent Advances and Future Research Directions in Edge Cloud Framework
Soumya Ranjan Jena1, Raju Shanmugam2, Rajesh Kumar Dhanaraj3, Kavita Saini4
1Soumya Ranjan Jena*, Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India
2Dr. Raju Shanmugam, Professor and Dean, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
3Dr. Rajesh Kumar Dhanaraj, Associate Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh.
4Dr. Kavita Saini, Associate Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 439-444 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3090129219/2019©BEIESP | DOI: 10.35940/ijeat.B3090.129219
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© The Authors. 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: Recent years have shown the explosive emergence of Cloud computing in the industry and it is now the need of the hour. It is a great idea to go to utilize 5G remote advancement and man-made thinking to engage speedier response times, lower latency, improved upkeep in figuring. The cloud has at no other time been so essential to the undertaking beforehand. This is where Edge Computing came into picture — seen as an expansion to the cloud, yet interesting in a couple of crucial ways. Empowering data to be taken care of, explored and moved at the edge of the framework, edge enlisting will enable undertakings to gather and assessments data closer to where it is taken care of, consistently, without idleness. Thus it can take into consideration snappy substance conveyance and information preparing that ought to be the eventual fate of registering. In this paper we will extensively study the necessity of Edge Cloud simulation environment and simulate it through EdgeCloudSim. We find that the utilization based, fuzzy competitor based and hybrid based methodologies incline toward offloading the assignments to the edge, so they give better outcomes whereas the average service time of the Fuzzy-Based methodology is least in contrast with the others.
Keywords: Edge Computing, Cloud Computing, Edge Cloud Sim.