An Enhanced Hybrid Edge-Cloud algorithm For Reducing IoT Service Delay | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 5, Volume 21, Issue 4, December 2021, Pages 50-59 PDF (738.86 K) | ||
| DOI: https://doi.org/10.33103/uot.ijccce.21.4.5 | ||
| Authors | ||
| Rawaa Ammar Razooqi1; hassan Jaleel2; Gaida Muttasher2 | ||
| 1Computer Engineering Department, University of Technology, Baghdad, Iraq | ||
| 2Department of Computer Engineering, University of Technology, Baghdad, Iraq | ||
| Abstract | ||
| The Savvy Manufacturing plant could be a concept that communicates the conclusion goal of fabricating digitization. A Smart Factory, within the most common sense, profoundly digitized shop floor that collects and offers information persistently through associated computers, gadgets, and generations. In this work, the factory is represented by five types of sensors. The reading of the sensor values is sent to one of the Edge servers and cloud computing. One Edge server is selected based on calculating the time it takes for each server. The highest least time priority is chosen to receive the data coming from the sensors. This paper suggests a way to reduce the delay by using the edge server in addition to cloud computing by using methods that overcome any malfunction in one of the servers via another one that can work without the need to stop the factory systems. | ||
| Keywords | ||
| Smart Factory; edge computing; delay in IoT | ||
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