0% Complete
فارسی
Home
/
دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Improving Fog Computing Scalability in Software Defined Network using Critical Requests Prediction in IoT
Authors :
Hajar Ghanbari
1
1- دانشگاه اصفهان
Keywords :
Internet of Things، Request Prediction، Software Defined Network، Fog Computing، Scalability
Abstract :
With the advent of technology, the Internet of Things (IoT) network has been confronted with large volumes of data and production requests like Critical Requests Cloud usage is not cost-effective due to the distance from the Cloud Data Centre. One of the best solutions to solve these problems. Use the Fog Computing auxiliary layer. Fog nodes also face processing limitations due to the large volume of requests. Inability to cooperate. Between Fog Nodes in this layer has resulted in Fog Computing Scalability being compromised. In this research, using the method of predicting the number of Critical. Requests and providing the required resources in Fog nodes as well as making Fog Nodes interoperable with each other by Software-Defined Network (SDN) tried to use the resources in the Fog layer to serve as much as possible to unforeseen requests. In this proposal, it has been able to reduce the service delay, utilization rate of fog layer resources and bandwidth consumption in comparison with the other two methods by 2, 6 and 13% Improve.
Papers List
List of archived papers
تخلیهبار محاسباتی ریزدانه تحرکآگاه در رایانش لبه برای اینترنت اشیاء
شکوفه نوروزی - دکتر زینب موحدی شکوفه نوروزی - زینب موحدی -
AI-based Message Spam Classification Framework for Secure Autonomous Vehicles Communication
Riya Upadhyay - Mili Virani - Lakshit Pathak - Rajesh Gupta - Sudeep Tanwar - Hossein Shahinzadeh
Paths-oriented Test Data Generation using Genetic Algorithm
Mohammad Reza Hassanpour Charmchi - Dr Bagher Rahimpour cami
Business Process Improvement Challenges: A Systematic Literature Review
Hanieh Kashfi - Fereidoon Shams Aliee
A clonal selection mechanism for load balancing in the cloud computing system
Melika Mosayyebi - Reza Azmi
Inner and Outer Bearing Fault Diagnosis of electrical Motors Using a Proposed Algorithm and Vibration Signals
Vahid Safari Dehnavi - Masoud Shafiee
Sentiment Analysis of the Amazon Customers Using the BiGRU Neural Network Enhanced by Attention Mechanism
Sara Sinan Salman al-Abedi - Keyvan Mohebbi
A Biased Random Key Genetic Algorithm for the Dial-a-Ride Problem
ُSomayeh Sohrabi - Koorush Ziarati - Morteza Keshtkaran
SBST challenges from the perspective of the test techniques
Sepideh Kashefi Gargari - Dr Mohammad Reza Keyvanpour
A perceptual loss for screen content image super-resolution
Hossein Sekhavaty-Moghadam - Marzieh Hosseinkhani - Dr Azadeh Mansouri
more
Samin Hamayesh - Version 41.3.1