摘要
基于软件定义网络的流媒体边缘云需要有效的路径规划策略,传统规划策略多数仅考虑网络负载和拓扑信息,在执行效率和优化效果上存在不足。为此,提出一种动态分层的路径规划策略。利用不同用户区域服务请求的相对独立性,通过对物理网络资源的虚拟划分将原问题分治为多个子问题,并在求解过程中综合考虑服务现状和视频流行度信息以对网络资源进行分配。实验结果表明,该策略能有效避免网络拥塞,提升系统服务质量,并保持较低的服务代价。
The Streaming Media Edge Cloud( SMEC) based on Software Defined Networking( SDN) needs effective path planning strategy. However,the traditional path planning strategy in SDN only considers the load of network and topology information,there are some defects both in the execution efficiency and optimization effect. To solve the problem,a dynamic hierarchical path planning strategy is proposed. It uses the relative independence of different user regional service requests, and divides the original problem into multiple sub problems by the virtual division of physical network resources, and considers the service status and video popularity information in the process of solving, so as to allocate the network resources. Experimental results show that the proposed strategy can effectively avoid network congestion,improve the service quality of the systems and maintain a low service cost.
作者
何杰挺
王子磊
奚宏生
HE Jieting;WANG Zilei;XI Hongsheng(Department of Automation, University of Science and Technology of China, Hefei 230027, Chin)
出处
《计算机工程》
CAS
CSCD
北大核心
2018年第5期268-273,279,共7页
Computer Engineering
基金
国家自然科学基金(61233003)
中央高校科研业务费专项资金
中国科学院青年创新促进会项目
关键词
软件定义网络
流媒体边缘云
路径规划
队列调度
动态资源分配
流量工程
Software Defined Networking (SDN)
Streaming Media Edge Cloud (SMEC)
path planning
queue scheduling
dynamic resource allocation
Traffic Engineering (TE)