PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 28, 202135 citations

Edge Computing: Classification, Applications, and Challenges

View Full Paper
GKGagandeep KaurRBRanbir Singh Batth

Key Points

Key points are not available for this paper at this time.

Abstract

Edge computing is a relatively recent phenomenon in the computing world, which takes cloud computing services closer to the end user and is distinguished by fast processing and application response time, which leads to many advantages such as faster and more efficient data processing; Safety; reduced leakage on existing networks. Moreover, delay-sensitive applications may benefit from the Edge computing paradigm's low latency, agility, and location awareness. Significant research has been conducted in the field of Edge computing, which is reviewed in terms of recent technologies such as Mobile Edge Computing, Cloudlet, and Fog computing, allowing researchers to gain a better understanding of current and potential solutions. This article summarizes the edge computing paradigm classification, applications, and various challenges in detail.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kaur et al. (2021) studied this question.

synapsesocial.com/papers/6a22a7c2b69638e6610df54dhttps://doi.org/10.1109/iciem51511.2021.9445331
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Challenges and Opportunities in Edge Computing2016 · 513 citations
  2. 2Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay2018 · 350 citations
  3. 3Simulation Study on Latency-aware Network in Edge Computing2019 · 6 citations
  4. 4Auto-scaling Applications in Edge Computing2017 · 25 citations
  5. 5SDN-Based Multi-Protocol Edge Switching for IoT Service Automation2018 · 49 citations