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.

Staged simulation: A general technique for improving simulation scale and performance

Abstract: This article describes staged simulation, a technique for improving the run time performance and scale of discrete event simulators. Typical network simulations are limited in speed and scale due to redundant computations encountered both within a single simulation run and between successive runs. Staged simulation proposes to restructure discrete event simulators to operate in stages that precompute, cache, and reuse partial results to drastically reduce redundant computation within and across simulations. We present a general and flexible framework for staging, and identify the advantages and trade-offs of its application to wireless network simulations, a particularly challenging simulation domain. Experience with applying staged simulation to the ns2 simulator shows that staging can improve execution time by an order of magnitude or more and enable the simulation of wireless networks with tens of thousands of nodes.

Detailed models for sensor network simulations and their impact on network performance

Abstract: Recent trends in sensor network simulation can be divided between less flexible but accurate emulation based approach and more generic but less detailed network simulator models. We offer an approach with the flexibility of network simulators and provides the accuracy comparable to emulation based approaches. We describe the design and architecture of sensor network simulator which provides a rich suite of following models: sensing stack to model wave and diffusion based sensor channels, an accurate battery model, processor power consumption model, energy consumption model and sensor network based traffic model. We also present our study on the effects of detailed modeling on the performance of higher layer protocols. We describe the impact of using accurate models for battery, processor power consumption and traffic models on the network layer statistics as network lifetime and availability, throughput and routing overhead. Our results show there is high sensitivity of model accuracy on network and application level statistics. In extreme cases we have noticed an inversion of results with our accurate models as compared with previous generation of abstract models.

System and Method for Managing Network Flows Based on Policy Criteria

Abstract: A policy-based network flow management system and method. In one embodiment, various policy conditions are configured based at least in part upon source network conditions and multi-layer information (e.g., Layer 2, Layer 3, and so on) associated with network traffic. Where network traffic from a content requester is determined to satisfy a policy condition, a corresponding policy action is effectuated, e.g., dropping the network traffic, forwarding the network traffic, redirecting the network traffic, or queuing the network traffic.

Synchronized network emulation: matching prototypes with complex simulations

Abstract: Network emulation, in which real systems interact with a network simulation, is a common evaluation method in computer networking research. Until now, the simulation in charge of representing the network has been required to be real-time capable, as otherwise a time drift between the simulation and the real network devices may occur and corrupt the results. In this paper, we present our work on synchronized network emulation. By adding a central synchronization entity and by virtualizing real systems for means of control, we can build-up network emulations which contain both unmodified x86 systems and network simulations of any complexity.