Adaptive thresholds for improved load balancing in mobile edge computing using K-means clustering

Mobile edge computing (MEC) has emerged as a promising technology that can revolutionize the future of mobile networks. MEC brings compute and storage capabilities to the edge of the network closer to end-users. This enables faster data processing and improved user experience by reducing latency. ME...

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Veröffentlicht in:	Telecommunication systems 2024-07, Vol.86 (3), p.519-532
Hauptverfasser:	Maqsood, Tahir, uz Zaman, Sardar Khaliq, Qayyum, Arslan, Rehman, Faisal, Mustafa, Saad, Shuja, Junaid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Business and Management Cluster analysis Clustering Computer Communication Networks Data processing Edge computing IT in Business Load balancing Mobile computing Network latency Overloading Probability Theory and Stochastic Processes Resource utilization Response time (computers) Servers Telecommunications systems User experience Vector quantization Workload Workloads
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