1
Department of Communications and Electronics Engineering, Delta Higher Institute for Engineering and Technology, Talkha 35681, Egypt.
(eng.alshimaahamdy@gmail.com)
2
Department of Communications and Electronics Engineering, Delta Higher Institute for Engineering and Technology, Talkha 35681, Egypt.
(germien_ggs@yahoo.com)
3
Embedded Network Systems and Technology Department, Faculty of Artificial Intelligence, Kafrelsheikh University- Kafrelsheikh- Egypt
(zainabhassan@ai.kfs.edu.e)
Abstract :
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.
Keywords :
Active Queue Management-Based Green Cloud Model (AGCM); Mobile edge computing (MEC); K-means; 5G.
References :
[1] Çakmak, M., & Albayrak, Z., A review: active queue management algorithms in mobile
communication, In 2018 International Conference on Advanced Technologies, Computer Engineering and Science
(ICONCS), 180-184, 2018.
[2] Tran, T. X., Hajisami, A., Pandey, P., & Pompili, D., Collaborative mobile edge computing in 5G
networks: new paradigms, scenarios, and challenges. IEEE Communications Magazine, 55(4), 54-61, 2017.
[3] Yang, K., Yu, Q., Leng, S., Fan, B., & Wu, F., Data and energy integrated communication networks
for wireless big data. IEEE access, 4, 713-723, 2016.
[4] Ismail, A. H., El-Bahnasawy, N. A., & Hamed, H. F., AGCM: Active queue management-based green
cloud model for mobile edge computing. Wireless Personal Communications, 105, 765-785, 2019.
[5] Salama, G. M., Ismail, A. H., Soliman, T. A., Hamed, H. F., & El‐Bahnasawy, N. A., Congestion‐aware
multiaccess edge computing collaboration model for 5G. International Journal of Communication Systems, 33(12),
e4446, 2020.
[6] Parvez, I., Rahmati, A., Guvenc, I., Sarwat, A. I., & Dai, H., A survey on low latency towards 5G:
RAN, core network and caching solutions. IEEE Communications Surveys & Tutorials, 20(4), 3098-3130, 2018.
[7] Natarajan, S., & Mohan, S., Latency Reduction in 5G MEC during Context Switchovers using
Learning-toRank Algorithms on Edge Application Servers. In 2021 8th International Conference on Future
Internet of Things and Cloud (FiCloud), 204-209), August 2021.
[8] Martín-Pérez, J., Cominardi, L., Bernardos, C. J., de la Oliva, A., & Azcorra, A., Modeling mobile edge
computing deployments for low latency multimedia services. IEEE Transactions on Broadcasting, 65(2), 464-474,
2019.
[9] Huang, P. H., Hsieh, F. C., Hsieh, W. J., Li, C. Y., & Lin, Y. D., Prioritized Traffic Shaping for Lowlatency MEC Flows in MEC-enabled Cellular Networks. In 2022 IEEE 19th Annual Consumer Communications
& Networking Conference (CCNC), 120-125, January 2022.
[10] Diarra, M., Dabbous, W., Ismail, A., Tetu, B., & Turletti, T., RAPID: A RAN-aware performance
enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks. Computer Networks,
218, 109357, 2022.
[11] Gopi, R., Suganthi, S. T., Rajadevi, R., Johnpaul, P., Bacanin, N., & Kannimuthu, S., An enhanced
green cloud-based queue management (GCQM) system to optimize energy consumption in mobile edge
computing. Wireless Personal Communications, 117, 3397-3419, 2021.
[12] Wang, H., Wang, Y., Lu, X., & Hu, Y., Energy consumption and time delay optimization of mec based
on multidimensional game. In 2020 IEEE 5th International Conference on Cloud Computing and Big Data
Analytics (ICCCBDA), 514-518, April 2020.
[13] Wang, B., Liu, Y., Shou, G., & Hu, Y., Energy consumption minimization using data compression in
mobile edge computing. In 2020 IEEE/CIC International Conference on Communications in China (ICCC) ,
911916, August 2020.
[14] Mahenge, M. P. J., Li, C., & Sanga, C. A., Energy-efficient task offloading strategy in mobile edge
computing for resource-intensive mobile applications. Digital Communications and Networks, 2022.
[15] Ismail, A. H., Soliman, T. A., Salama, G. M., El-Bahnasawy, N. A., & Hamed, H. F., Congestionaware and energy-efficient MEC model with low latency for 5G. In 2019 7th International Japan-Africa
Conference on Electronics, Communications, and Computations, (JAC-ECC), 156-159, December 2019.
Style | # |
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MLA | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali. "Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means." International Journal of Wireless and Ad Hoc Communication, Vol. 6, No. 2, 2023 ,PP. 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |
APA | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali. (2023). Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means. Journal of International Journal of Wireless and Ad Hoc Communication, 6 ( 2 ), 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |
Chicago | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali. "Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means." Journal of International Journal of Wireless and Ad Hoc Communication, 6 no. 2 (2023): 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |
Harvard | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali. (2023). Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means. Journal of International Journal of Wireless and Ad Hoc Communication, 6 ( 2 ), 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |
Vancouver | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali. Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means. Journal of International Journal of Wireless and Ad Hoc Communication, (2023); 6 ( 2 ): 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |
IEEE | Alshimaa H. Ismail, Germien G. Sedhom, Zainab H. Ali, Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 6 , No. 2 , (2023) : 65-72 (Doi : https://doi.org/10.54216/IJWAC.060206) |