A QoS and Load Balancing Predictive Model Based on LSTM and Random Forest Regression in SDN: A Rest API Approach

Bibliographic Details
Title: A QoS and Load Balancing Predictive Model Based on LSTM and Random Forest Regression in SDN: A Rest API Approach
Authors: Ansari, Muhammad SalmanAff17, Zhang, JianXunAff17, ShabanAff18
Contributors: Akan, Ozgur, Editorial Board MemberAff1, Bellavista, Paolo, Editorial Board MemberAff2, Cao, Jiannong, Editorial Board MemberAff3, Coulson, Geoffrey, Editorial Board MemberAff4, Dressler, Falko, Editorial Board MemberAff5, Ferrari, Domenico, Editorial Board MemberAff6, Gerla, Mario, Editorial Board MemberAff7, Kobayashi, Hisashi, Editorial Board MemberAff8, Palazzo, Sergio, Editorial Board MemberAff9, Sahni, Sartaj, Editorial Board MemberAff10, Shen, Xuemin, Editorial Board MemberAff11, Stan, Mircea, Editorial Board MemberAff12, Jia, Xiaohua, Editorial Board MemberAff13, Zomaya, Albert Y., Editorial Board MemberAff14, Cao, Yuanlong, editorAff15, Shao, Xun, editorAff16
Source: Data Information in Online Environments : 4th EAI International Conference, DIONE 2023, Nanchang, China, November 25–27, 2023, Proceedings. 515:3-26
Database: Springer Nature eBooks
Description
ISBN:9783031807121
9783031807138
DOI:10.1007/978-3-031-80713-8_1