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Multiobjective Optimization for Multicast Routing in Overlay Networks using Evolutionary Algorithms

机译:基于进化算法的覆盖网络组播路由多目标优化

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Multicast plays an important role in supporting a new generation of applications. At present and for different reasons, technical and nonechnical, multicast IP hasn yet been totally adopted for Internet. During recent years, an active area of research is that of implementing this kind of traffic in the application layer where the multicast functionality isnt a responsibility of the routers but that of the hosts, which we know as Multicast Overlay Networks (MON). In this article, routing in an MON is put forward as a multiobjective optimization problem (MOP) where two functions are optimized: 1) the total end to end delay of the multicast tree and 2) the maximum link utilization. The simultaneous optimization of these two functions is an NPomplete problem and to solve this we suggest using Multiobjective Evolutionary Algorithms (MOEA), specifically NSGAI.
机译:组播在支持新一代应用程序中扮演着重要角色。目前,由于各种原因,技术和非技术性的组播IP尚未完全用于Internet。近年来,研究的活跃领域是在应用层中实现这种流量,其中组播功能不是路由器的责任,而是主机的责任,我们称之为组播覆盖网络(MON)。在本文中,MON中的路由是作为多目标优化问题(MOP)提出的,其中优化了两个功能:1)多播树的总端到端延迟和2)最大链路利用率。这两个函数的同时优化是一个NP问题,为解决这个问题,我们建议使用多目标进化算法(MOEA),特别是NSGAI。

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