Distributed Load Management Algorithms in Anycast-based CDNs.

Computer Networks: The International Journal of Computer and Telecommunications Networking(2017)

引用 5|浏览141
暂无评分
摘要
Anycast is an internet addressing protocol where multiple hosts share the same IP-address. A popular architecture for modern Content Distribution Networks (CDNs) for geo-replicated services consists of multiple layers of proxy nodes for service and co-located DNS servers for load balancing among different proxies. Both the proxies and the DNS servers use anycast addressing, which offers the simplicity of design and high availability of service at the cost of partial loss of routing control. Due to the very nature of anycast, redirection actions by a DNS server also affect load at nearby proxies in the network. This makes the problem of optimal distributed load management highly challenging. In this paper, we propose and evaluate an analytical framework to formulate and solve the load management problem in this context. We consider two distinct algorithms. In the first half of the paper, we pose the load management problem as a convex optimization problem. Following a Kelly-type dual decomposition technique, we propose a fully distributed load management algorithm by introducing a new type of control packets, called FastControl packets. This algorithm utilizes the underlying anycast mechanism to enable effective coordination among the nodes, thus obviating the need for any external control channel. In the second half of the paper, we examine an alternative greedy load management heuristic, currently in production in a major commercial CDN. We study its dynamical characteristics and analyze its operational and stability properties. Finally, we critically evaluate both the algorithms and explore their optimality-vs-complexity trade-off using trace-driven simulations.
更多
查看译文
关键词
Performance analysis,Decentralized and distributed control,Optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要