Load balancing exploiting P2P technology for softswitch system

S. Chunyan, Peng Jin, Le Lifeng, Su Sen, S. Kai
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引用次数: 1

Abstract

As the core of current telecommunication Networks, Softswitch system plays an important role in communication networks. However, current Softswitch system still faces some challenges. Firstly its subscriber database, i.e., HLR, is a centralized network entity which may have the problem of the single point of failure and poor scalability; Secondly, current MSC Pool strategy cannot achieve the load balancing inter-domain; Thirdly, the existing disaster recovery and load balancing technologies can't handle tremendous traffic variance (neither R4 nor IMS) due to unpredictability of burst load. In this paper, we propose an architecture of distributed Softswitch system exploiting P2P technology. Based on the P2P Softswitch system, it can naturally eliminate the problem of database's single point of failure by distributing users' data. Besides, we design a geographical awareness algorithm achieving load balancing both intra-domain and inter-domain and reduce the delay in the registration and session setup. Our simulation results show that our algorithm can achieve the load balancing both intradomain and inter-domain. When the calling number is 6 times of the daily in certain area with the neighbors 3, it is able to serve 100% of the calling attempts; when the calling number is even 17 times of the daily in certain area, it is still able to serve 62.8% of the calling attempts fully utilizing the remaining capacity of inter-domain neighbors and having the less effect to the other domains.
利用P2P技术实现软交换系统的负载均衡
软交换系统作为当前通信网络的核心,在通信网络中发挥着重要的作用。但是,当前的软交换系统仍然面临着一些挑战。首先,它的用户数据库HLR是一个集中式的网络实体,可能存在单点故障和可扩展性差的问题;其次,当前的MSC Pool策略无法实现域间负载均衡;第三,由于突发负载的不可预测性,现有的灾难恢复和负载均衡技术无法处理巨大的流量变化(无论是R4还是IMS)。本文提出了一种利用P2P技术的分布式软交换系统架构。基于P2P软交换系统,通过分散用户数据,自然消除了数据库的单点故障问题。此外,我们设计了一种地理感知算法,实现了域内和域间的负载均衡,减少了注册和会话建立的延迟。仿真结果表明,该算法可以实现域内和域间的负载均衡。当某一区域的主叫号码为每日6次,相邻号码为3次时,能够100%的服务呼叫尝试;在某区域内,当主叫次数为每日主叫次数的17倍时,仍能充分利用域间邻居的剩余容量服务62.8%的主叫尝试,对其他域的影响较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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