Intelligent Software-Defined Network for Cognitive Routing Optimization Using Deep Extreme Learning Machine Approach

作     者：Fahd Alhaidari Sultan H.Almotiri Mohammed A.Al Ghamdi Muhammad Adnan Khan Abdur Rehman Sagheer Abbas Khalid Masood Khan Atta-ur-Rahman 

作者机构：Department of Computer Information SystemCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer ScienceUmm Al-Qura UniversityMakkah City715Saudi Arabia Department of Computer ScienceLahore Garrison UniversityLahore54792Pakistan School of Computer ScienceNCBA&ELahore54000Pakistan Department of Computer ScienceCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第67卷第4期

页      面：1269-1285页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported by Data and Artificial Intelligence Scientific Chair at Umm AlQura University 

主　　题：SDN DELM machine learning cognition 

摘      要：In recent years,the infrastructure,instruments,and resources of network systems are becoming more complex and heterogeneous,with the rapid development of current internet and mobile communication *** order to efficaciously prepare,control,hold and optimize networking systems,greater intelligence needs to be ***,due to the inherently dispensed characteristic of conventional networks,Machine Learning(ML)techniques are hard to implement and deployed to govern and operate ***-Defined Networking(SDN)brings us new possibilities to offer intelligence in the ***’s characteristics(e.g.,logically centralized control,global network view,software-based site visitor analysis,and dynamic updating of forwarding rules)make it simpler to apply machine learning *** perspectives of fiber-optic communications including fiber nonlinearity coverage,optical performance checking,cognitive shortcoming detection/anticipation,and arranging and improvement of softwaredefined networks are examined in Machine Learning(ML)*** research paper has presented an imaginative framework concept called Intelligent Software Defined Network(ISDN)for Cognitive Routing Optimization(CRO)using Deep Extreme Learning Machine(DELM)approach(ISDN-CRO-DELM)in light of the new challenges in the development and operation of communication systems,and capturing motivation from how living creatures deal with difficulty and *** proposed methodology develops around the planned applications of progressive DELM methods and,specifically,probabilistic generative models for framework wide learning,demonstrating,improvement,and information ***,ISDN-CRO-DELM,suggest to integrate this learning framework with the ISDN for CRO and reconfiguration approaches at the system *** 2019a is used for DELM simulation and superior results show the effectiveness of the proposed framework.