Details

Autor(en) / Beteiligte

• Zhao, HW
• Zhang, S
• ruan, Y
• Jing, XH

Titel

Cloud Resource Adaptive Scheduling Framework and Optimization Strategy Based on Swarm Intelligence

Ist Teil von

• Journal of physics. Conference series, 2019-04, Vol.1187 (3), p.32109

Ort / Verlag

Bristol: IOP Publishing

Erscheinungsjahr

2019

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Resource scheduling framework is very important for the overall cloud service efficiency and service quality,which is the core module of cloud computing. This paper proposes an adaptive cloud computing resource scheduling framework based on swarm intelligence. The proposed adaptive framework includes resource deployment module, scheduling module, recommendation module, optimization module, and monitoring module.The simulation results show that the proposed framework is more efficient than the traditional framework in terms of task execution time, system load balancing and resource service quality, and can improve the service quality of cloud applications while improving resource utilization.