The two-volume set LNCS 7289 and 7290 constitutes the refereed proceedings of the 11th International IFIP TC 6 Networking Conference held in Prague, Czech Republic, in May 2012. The 64 revised full papers presented were carefully reviewed and selected from a total of 225 submissions. The papers feature innovative research in the areas of network architecture, applications and services, next generation Internet, wireless and sensor networks, and network science. The first volume includes 32 papers and is organized in topical sections on content-centric networking, social networks, reliability and resilience, virtualization and cloud services, IP routing, network measurement, network mapping, and LISP and multi-domain routing.

The two-volume set LNCS 7289 and 7290 constitutes the refereed proceedings of the 11th International IFIP TC 6 Networking Conference held in Prague, Czech Republic, in May 2012. The 64 revised full papers presented were carefully reviewed and selected from a total of 225 submissions. The papers feature innovative research in the areas of network architecture, applications and services, next generation Internet, wireless and sensor networks, and network science. The second volume includes 32 papers and is organized in topical sections on video streaming, peer to peer, interdomain, security, cooperation and collaboration, DTN and wireless sensor networks, and wireless networks.

An accurate performance prediction is an involved and complex mission owing to a wide array of controlled and uncontrolled variables affecting the material properties, climate conditions, traffic loads, and subsequent structural response of the pavement section. Over the years, researchers have expended considerable effort toward arriving at a better understanding of pavement response and distress development in pavement structures. More recently, instrumentation has become a key implement in directly quantifying pavement response under diverse environmental and traffic conditions. This thesis research has been aimed at developing a methodology for predicting performance of flexible pavements with the use of instrumentation data.