Hybrid Auto-Scaled Service-Cloud-Based Predictive Workload Modeling and Analysis for Smart Campus System

Author:

Razzaq Mirza Abdur,Mahar Javed Ahmed,Ahmad Muneer,Saher Najia,Mehmood Arif,Choi Gyu Sang

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) Support Program supervised by the Institute for Information and communications Technology Promotion

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives;Tsinghua Science and Technology;2025-02

2. Pathway to a Smart Campus Framework: A Review and Case Study;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

3. A novel workload forecasting model for cloud computing using ALAA-DBN algorithm;Multimedia Tools and Applications;2024-05-21

4. Enabling Auto-Heal Micro-Service Framework (AHMF) Based on APM Audit And Proactive Fault Discovery in Cloud Monitoring;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

5. Real-Time Reliability Monitoring on Edge Computing: a Systematic Mapping;Informatics and Automation;2023-11-10

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