In this paper we investigate epidemic failure spreading in large- scale GMPLS-controlled transport networks. By evaluating the effect of the epidemic failure spreading on the network, we design several strategies for cost-effective network performance improvement via differentiated repair times. First we identify the most vulnerable and the most strategic nodes in the network. Then, via extensive simulations we show that strategic placement of resources for improved failure recovery has better performance than randomly assigning lower repair times among the network nodes. Our OPNET simulation model can be used during the network planning process for facilitating cost- effective network survivability design.
|Title of host publication||Proceedings of OPNETWORK 2013|
|Number of pages||6|
|Publication status||Published - 2013|
|Event||OPNETWORK 2013 - Washington, D.C. , United States|
Duration: 26 Aug 2013 → 29 Aug 2013
|Period||26/08/2013 → 29/08/2013|