. The designo f survivable mesh based STM netwo7R has receivedco8G4G6j7FF attentio in recent years and is aco843C multicoi -67C3 toR99G6j7RR( pro99G6 In this paper, a new spare capacity planningmetho do39R ispro oo utilizing geneticalgo6949F7 The metho d is basedo nfoR87R flo ws/tra#c which are o paths that aredisjoC t to share backup spare capacity. The ma advantageso the newappro( h are a po lyno746 time co3493F6 y and the capabilityo f incoR o rating noing67C variables such asno3GR4C6 co9 functio6 into theso7R7FC algo7C333 Numerical results illustrating the fo9 o f the genetic algoG(R6 soG(R6 andco3F3RG6 thepro oo metho doo( to existing techniques fro the literature are presented. 1

A major attack can significantly reduce the capability to deliver services in large-scale networked information systems. In this project, we have addressed the survivability of large scale heterogeneous information systems which consist of various services provided over multiple interconnected networks with different technologies. The communications network portions of such systems are referred to as multi-networks. We specifically address the issue of survivability due to physical attacks that destroy links and nodes in multi-networks. The end goal is to support critical services in the face of a major attack by making optimum use of network resources while minimizing network congestion. This is an area which is little studied, especially for largescale heterogeneous systems. In this paper, we present an overview of our contributions in this area. 1. Introduction A major attack or a failure can significantly reduce the capability to deliver services in large-scale networked informat...

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