scholarly journals A Layered Architecture for Fog Computing for an Effective Real Time Data Processing

2018 ◽  
Vol 180 (36) ◽  
pp. 23-25
Author(s):  
Garima Joshi ◽  
Pooja Deshpande ◽  
Prasun Joshi
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Fog Computing ◽  
Time Data ◽  
Layered Architecture ◽  
Real Time Data ◽  
Real Time Data Processing

scholarly journals Fog Computing Mitigate Limitations of Cloud Computing

2020 ◽  
Vol 8 (5) ◽  
pp. 1732-1736
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Fog Computing ◽  
Public Cloud ◽  
Time Data ◽  
Security Issues ◽  
Computing Model ◽  
Real Time Data ◽  
Real Time Data Processing

In today’s world, cloud computing is the most exciting and advanced technology. It came into existence with lots of advantages, but cloud-only computing has some disadvantages also like latency in real-time data processing, network congestion, less bandwidth utilization, fault tolerance, and security issues in public cloud. To address the issue of real-time data-processing and security in public cloud new computing model are used which is known as Fog Computing. It is nearer to the client or edge so that it can reduce the latency in real time data-processing and security in public cloud using techniques like user profiling and decoying technique. Fog Computing help us to overcome the latency and security issues of cloud computing. It reduces cloud latency in real time data-processing because fog computing model is nearer to the edge devices. It also improves cloud security in the public cloud.

Efficient and Accurate Monitoring of Rod Pump Well Performance Using Real Time Data Processing and Visualization.

2013 ◽  
Author(s):  
Orvel Lynn Rowlan ◽  
James N. McCoy ◽  
Dieter Joseph Becker ◽  
Kay Stefan Capps ◽  
A. L. Podio
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Well Performance ◽  
Time Data ◽  
Real Time Data ◽  
Real Time Data Processing
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