Task Classification and Scheduling Based on K-Means Clustering for Edge Computing

• Published in: Wireless personal communications Vol. 113; no. 4; pp. 2611 - 2624
• Main Authors: Ullah, Ihsan, Youn, Hee Yong
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2020; Springer Nature B.V
• Subjects: Algorithms; Classification; Cloud computing; Cluster analysis; Clustering; Communications Engineering; Computer Communication Networks; Computer simulation; Edge computing; Engineering; Heterogeneity; Internet of Things; Networks; Nodes; Performance enhancement; Queues; Queuing theory; Resource utilization; Schedules; Signal,Image and Speech Processing; Task scheduling; Vector quantization; Task scheduling; K-means algorithm; Internet of Things; Task classification; Edge computing

The rapid evolution of Internet of Things and cloud computing have endorsed a novel computing paradigm called edge computing. Here tasks are processed by edge devices before sent to the cloud to reduce the computational latency and overhead of cloud server. In edge computing efficient classification...