Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization

Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service (QoS) becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an...

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Veröffentlicht in:	Complexity (New York, N.Y.) Jg. 2021; H. 1
Hauptverfasser:	Babar, Mohammad, Khan, Muhammad Sohail, Din, Ahmad, Ali, Farman, Habib, Usman, Kwak, Kyung Sup
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Hindawi 2021 John Wiley & Sons, Inc Wiley
Schlagworte:	Algorithms Ant colony optimization Bandwidths Bees Cloud computing Communication Computation offloading Edge computing Energy consumption File servers Heuristic methods Internet of Things Management Management techniques Mathematical optimization Network latency Optimization techniques Particle swarm optimization Resource management Response time Response time (computers) Scheduling Servers Workload Workloads Pakistan
ISSN:	1076-2787, 1099-0526
Online-Zugang:	Volltext
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