Network traffic simulation

About: Network traffic simulation is a research topic. Over the lifetime, 4535 publications have been published within this topic receiving 74606 citations.

Telecommunications network design with multiple technologies

Abstract: In this paper we consider a telecommunications network design problem allowing for multiple technologies. The problem arises in wide-area network and metro-area network design for which a combination of technologies may be necessary due to high traffic volumes, long-distance transmission, and design restrictions. The network design problem builds the best network to channel traffic between a set of origins and destinations, which requires selecting links, equipping them with fiber, deciding on the type of technology, and locating switches. The goal is to minimize the total cost of the network, which accounts for the flow cost, the fiber and technology costs, and the switch-location cost. We model the problem using a multicommodity network design formulation with side constraints. We apply Benders decomposition to the problem and develop a two-phase solution method that uses a number of improvements over the basic Benders algorithm. We present promising results on randomly generated test problems.

A Session Based Approach for Aggregating Network Traffic Data -- The SANTA Dataset

Abstract: This paper compares and contrasts the most widely used network security datasets, evaluating their efficacy in providing a benchmark for intrusion and anomaly detection systems. The antiquated nature of some of the most widely used datasets along with their inadequacies is examined and used as a basis for discussion of a new approach to analyzing network traffic data. Live network traffic is collected that consists of real normal traffic and both real and penetration testing attack data. Attack data is then inspected and labeled by means of manual analysis. While network attacks and anomaly features vary widely, they share some commonalities that are examined here. Among these are: self-similarity convergence, periodicity, and repetition. Further, the knowledge inherent in the definition of network boundaries and advertised services can provide crucial context that allows the network analyst to consider self-aware attributes when examining network traffic sessions. To these ends the Session Aggregation for Network Traffic Analysis (SANTA) dataset is proposed. The motivation and the methodology of collection, aggregation and evaluation of the raw data are presented, as well as the conceptualization of the SANTA attributes and advantages provided by this approach.

Microscopic Simulation of Optimal Use of Communication Network

Abstract: The development of transportation in Slovakia has an increasing character as in the other developed countries, and the negative impacts of transport are still rising. To handle this situation, the Slovak cities should have to solve their transport situations with more often use of ITS elements. One of the possibilities of optimal communication network use in the city is the management of traffic flow on the route, or its reroute from congested stretches to existing alternative routes of transport network. This use is suitable, if the likelihood of overloading is high, and the lateral routes have a sufficient reserve. High proportion of transport which is possible to reroute is a condition for success of this system. In our article we build a cost- benefit based model to compare two variants. The first variant includes a current state and in the second one designed changes will be incorporated. We use this model to solve the problems on communication network in the city of Žilina. As a modelling tool we use software Aimsun which allows a microscopic simulation. AIMSUN (Advanced Interactive Microscopic Simulator for Urban and Non-Urban Networks) is a software tool which is able to reproduce real traffic conditions on any network. It means that we can also use it to predict behaviour of network with implementation of vehicle guidance systems.

Optimizing Link Sleeping Reconfigurations in ISP Networks with Off-Peak Time Failure Protection

Abstract: Energy consumption in ISP backbone networks has been rapidly increasing with the advent of increasingly bandwidth-hungry applications. Network resource optimization through sleeping reconfiguration and rate adaptation has been proposed for reducing energy consumption when the traffic demands are at their low levels. It has been observed that many operational backbone networks exhibit regular diurnal traffic patterns, which offers the opportunity to apply simple time-driven link sleeping reconfigurations for energy-saving purposes. In this work, an efficient optimization scheme called Time-driven Link Sleeping (TLS) is proposed for practical energy management which produces an optimized combination of the reduced network topology and its unified off-peak configuration duration in daily operations. Such a scheme significantly eases the operational complexity at the ISP side for energy saving, but without resorting to complicated online network adaptations. The GEANT network and its real traffic matrices were used to evaluate the proposed TLS scheme. Simulation results show that up to 28.3% energy savings can be achieved during off-peak operation without network performance deterioration. In addition, considering the potential risk of traffic congestion caused by unexpected network failures based on the reduced topology during off-peak time, we further propose a robust TLS scheme with Single Link Failure Protection (TLS-SLFP) which aims to achieve an optimized trade-off between network robustness and energy efficiency performance.