aspg-20-1537-1791307729 20261006172849 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Wireless and Ad Hoc Communication IJWAC 2692-4056 2023 6 2 Alshimaa H. Ismail Department of Communications and Electronics Engineering, Delta Higher Institute for Engineering and Technology, Talkha 35681, Egypt. Germien G. Sedhom Department of Communications and Electronics Engineering, Delta Higher Institute for Engineering and Technology, Talkha 35681, Egypt. Zainab H. Ali Embedded Network Systems and Technology Department, Faculty of Artificial Intelligence, Kafrelsheikh University- Kafrelsheikh- Egypt The most unique and important design considerations in 5G cloud computing are the delay, energy consumption, and throughput. Therefore, most recent studies focused on boosting delay and energy consumption, and throughput using edge computing. The active queue management-based green cloud model (AGCM) is one of the most recent green cloud models that decreases the delay and sustains a stable throughput. Also, Mobile edge computing (MEC) is an essential cloud computing model for mobile users to meet the continuous growth of data requests. Thus, we offer a handoff scenario between the AGCM and MEC to assess the possible benefits of such collaboration and enhance its effects on the fundamental cloud restrictions such as delay and throughput. Accordingly, the proposed algorithm is named Enhanced Active queue management-based green cloud model (EAGCM). The proposed EAGCM regards incorporation between Kmeans and AGCM. The simulation results indicate that the proposed EAGCM serves mobile users efficiently, enhances the throughput, and reduces latency compared to AGCM and the cloud for 5G systems. 2023 65 72 1537 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJWAC.060206 https://americaspg.com/journal/20/article/1537 https://americaspg.com/storage/01675997859.pdf