A Novel Service Migration Method Based on Content Caching and Network Condition Awareness in Ultra-Dense Networks

• Chenjun Zhou,
• Xiaorong Zhu,
• Hongbo Zhu,
• Su Zhao,

Vol. 12, No. 6, June 29, 2018
10.3837/tiis.2018.06.013 , Download Paper (Free):

• Content caching
• Service migration
• ultra-dense networks
• Firefly Algorithm

Abstract

The collaborative content caching system is an effective solution developed in recent years to reduce transmission delay and network traffic. In order to decrease the service end-to-end transmission delay for future 5G ultra-dense networks (UDN), this paper proposes a novel service migration method that can guarantee the continuity of service and simultaneously reduce the traffic flow in the network. In this paper, we propose a service migration optimization model that minimizes the cumulative transmission delay within the constraints of quality of service (QoS) guarantee and network condition. Subsequently, we propose an improved firefly algorithm to solve this optimization problem. Simulation results show that compared to traditional collaborative content caching schemes, the proposed algorithm can significantly decrease transmission delay and network traffic flow.

Statistics

Cite this article