Abbrevation
RNDM
City
St. Petersburg
Country
Russia
Deadline Paper
Start Date
End Date
Abstract

RNDM has been established as a single&#8211;track workshop each time attracting world&#8211;class participants from both academia and industry working in the area of reliable networks design and modeling&#046; RNDM 2014 follows the success of the first five events that took place in St&#046; Petersburg (2009, 2012), Moscow (2010), Budapest (2011), and Almaty (2013) accordingly&#046;<br>The topics cover, but are not necessarily limited to the following:<br>&#8211; businesses aspects of resilience in content&#8211;oriented and cloud&#8211;ready networks,<br>&#8211; coordination of multilayer survivability operations,<br>&#8211; design of dedicated/shared backup paths,<br>&#8211; end&#8211;to&#8211;end resilience,<br>&#8211; energy efficiency in survivable networks,<br>&#8211; energy efficiency in survivable content&#8211;oriented and cloud&#8211;ready networks,<br>&#8211; fast service recovery,<br>&#8211; fault and disruption tolerance evaluation,<br>&#8211; fault management and control in survivable networks,<br>&#8211; Future Internet reliability,<br>&#8211; green networks reliability,<br>&#8211; impact on detection accuracy and latency on survivability,<br>&#8211; management issues in reliable networks design,<br>&#8211; management of survivable content&#8211;oriented and cloud&#8211;ready networks,<br>&#8211; methods for measurement, evaluation, or validation of survivability,<br>&#8211; metrics of reliable communications,<br>&#8211; modeling different types of failures,<br>&#8211; modeling malicious behavior or attacks on networks,<br>&#8211; models and algorithms of survivable networks design and modeling,<br>&#8211; multilayer networks survivability,<br>&#8211; network dependability,<br>&#8211; network reliability vs&#046; economy&#8211;related issues,<br>&#8211; network reliability standardization aspects,<br>&#8211; new and emerging threats in cloud computing and content&#8211;oriented networks,<br>&#8211; optical networks survivability,<br>&#8211; p&#8211;cycles and other protection structures,<br>&#8211; planning and optimization of survivable content&#8211;oriented and cloud&#8211;ready networks,<br>&#8211; planning and optimization of reliable networks,<br>&#8211; QoS and QoE in reliable communications,<br>&#8211; restoration strategies under different types of failures,<br>&#8211; reliable networks performance evaluation,<br>&#8211; reliability and resilience of in data centers,<br>&#8211; reliability of wireless&#8211;wired communications,<br>&#8211; reliability of wireless sensor networks,<br>&#8211; reliability of multi&#8211;domain communications,<br>&#8211; reliability of emerging communication technologies,<br>&#8211; reliability of vehicle&#8211;to&#8211;vehicle communications,<br>&#8211; resilient cloud computing architectures and solutions,<br>&#8211; resilient content&#8211;oriented networks architectures and solutions,<br>&#8211; role of redundancy in survivable networks,<br>&#8211; security&#8211;related issues in reliable networks,<br>&#8211; self&#8211;regenerative networks,<br>&#8211; service&#8211;oriented survivability,<br>&#8211; service resilience differentiation,<br>&#8211; simulation/emulation techniques for network resilience<br>in content&#8211;oriented and cloud&#8211;ready networks,<br>&#8211; Software&#8211;Defined Networks (SDN) for survivable content&#8211;oriented<br>and cloud&#8211;ready networking,<br>&#8211; survivability of anycast and multicast networks,<br>&#8211; survivability of converged services (VoIP, IP&#8211;TV, Mobile TV),<br>&#8211; survivability of Content Delivery Networks (CDNs),<br>&#8211; survivability of grid and distributed computing systems,<br>&#8211; survivability of P2P and overlay systems,<br>&#8211; survivability under traffic grooming in multilayer networks,<br>&#8211; theory and methods of reliability and availability,<br>&#8211; use of self&#8211;healing techniques in surviving attacks,<br>&#8211; wireless access networks survivability,<br>&#8211; wireless mesh networks survivability&#046;<br>