183 results about "Network traffic simulation" patented technology

A method and apparatus are provided that allows for the representation of a larger number of classes of network traffic and logical queues than is physically available on a per port basis within a network device. A number of logical queues, whose number can match the number of classes of network traffic a network device handles, may be supported across an aggregated set of ports even though the network device has fewer physical queues per port than there are classes of network traffic. The method and apparatus improve the management of network traffic sensitive to time delay and jitter, and further facilitates the operation of these applications in a simultaneous or near simultaneous manner.

A method and apparatus for using network traffic logs for search enhancement is disclosed. According to one embodiment, network usage is tracked by generating log files. These log files among other things indicate the frequency web pages are referenced and modified. These log files or information from these log files can then be used to improve document ranking, improve web crawling, determine tiers in a multi-tiered index, determine where to insert a document in a multi-tiered index, determine link weights, and update a search engine index.

A traffic simulator for a cellular radio telecommunications network. The traffic simulator includes a function handler which generates a plurality of basic call functions performed by mobile stations (MSs) over an air interface link with the network. A sequence handler utilizes the basic functions to generate a plurality of call sequences, and a traffic mix handler utilizes the plurality of call sequences to generate an overall traffic mix. A MS handler includes a plurality of MS state machines for different types of MSs and a database of MS properties. The MS handler interfaces with the basic functions to generate realistic inputs to the sequence handler. A cells handler includes a database of cells in the network and parameters relating to radio conditions. The cells handler also interfaces with the basic functions to generate realistic inputs to the sequence handler. A traffic repository may inject recorded real mobile station traffic into the traffic mix. A connection manager sends the traffic mix to external network components, and a graphical user interface (GUI) enables an operator to interface with the traffic simulator and generate specified traffic scenarios.

A system and method for detecting and identifying intruders in a computer network environment by providing a network traffic evaluation and simulation module at the interface between a protected network and external traffic source. The evaluation and simulation module identifies suspected intruders by observing intrusion pattern behavior and then presents a simulated network to the intruder. The simulated network appears to offer the intruder valuable information and provides the intruder with the appearance of success in breaking down the layers of the simulated network to keep the intruder engaged in the intrusion effort while information is gathered to trace and identify the source of the intrusion. Intrusion attempts are identified and categorized in an intrusion analysis module. The network traffic evaluation and simulated network may be provided as a self contained physical module that does not require modification of existing network software.

Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles. Any of the profiles may then be accessed by one or more parties for use in affecting various network services, including targeting content delivery.

Synchronization of network traffic compression mechanisms deployed in redundant network topologies. In one implementation, the present invention features the synchronization of compression statistics on redundant network devices to facilitate failover and load sharing operations in the management of data flows traversing computer network environments. In one implementation, compression meta data is appended to synchronization packets and transmitted to one or more partner or redundant network devices. The receiving network devices use the compression meta data to synchronize one or more data flow control processes or data structures. Implementations of the present invention also feature process flows that increase the efficiency of synchronizing compression related operations.

The invention discloses a content distribution network load scheduling method and system. Among them, in the content distribution network load scheduling method, the content distribution network receives the content request sent by the user terminal; the global load balancing unit uses the network information provided by the application layer traffic optimization server to select the local load balancing unit according to the first selection strategy; the local load balancing unit The unit selects an edge cache device according to the second selection strategy; the content distribution network redirects the content request to the edge cache device, and distributes the content to the edge cache device; the edge cache device selects the edge cache device according to the content request The content is distributed to user terminals. Since the network information provided by the application-layer traffic optimization server more accurately reflects information such as network topology and network traffic, the global load balancing unit can direct user requests to the nearest node or area, which facilitates the content distribution network to better provide users with Nearby service.

Methods and systems for smart data processing and dissemination in wireless sensor networks are provided herein. In one aspect, the present invention provides dynamic and independent data processing and dissemination at individual sensor nodes in a wireless sensor network. In another aspect, the present invention provides data processing and/or dissemination methods at a sensor node that are responsive to, among other parameters, network traffic conditions, network connectivity conditions, conditions at the sensor node, and the data characteristics and QOS (Quality of Service) requirements of the data being processed and/or disseminated. In yet another aspect, data processing and/or dissemination rules according to the present invention are easily configurable and modifiable depending on the specific sensor networking application.

A method to monitor a network is provided, including receiving traffic metric data indicating measurements related to a characteristic of network traffic flowing in the network and identifying network threats in intercepted traffic of the network traffic. The method further includes identifying a time associated with detection of each occurrence of the network threats and generating a graphical user interface having a GUI that includes a display of a time series graph that corresponds to a selected time period. The display includes a network traffic plot and an alert plot adjacent to the network traffic plot. The network traffic plot indicates a characteristic of network traffic relative to a timeline displayed along a first axis. The alert plot includes alert indicators, wherein each alert indicator is associated with detection of a network threat and aligned relative to the timeline based on the time identified for each occurrence of the detected network threats.

An embodiment of the invention provides an interactive type visual simulation system under the vehicle road collaborative environments.The system comprises a real traffic simulation three-dimensional model, a virtual driving vehicle, a driver-vehicle interactive simulation unit and a traffic flow model, and the traffic flow model considers driver factors and combines a vehicle starting and stop module.The system is based on the three-dimensional simulation environments, an interactive type dynamic mapping model corresponding to the virtual vehicle, different typical scene simulation and the like, the traffic flow model considering the driver behavior is designed, the behavior and the effect of a cooperative vehicle infrastructure system can be displayed to a user from multiple angles, at the same time, the acceptance degree of the driver on vehicle road collaboration certain functions and the design rationality of certain functions are analyzed, and a virtual driving environment with sense of reality and sense of immersion can be provided for the driver.

The invention provides a cellular automaton model based urban road network traffic flow simulation design method. The cellular automaton model based urban road network traffic flow simulation design method comprises the following steps of 1 establishing an urban road network consisting of a plurality of bidirectional two-lane roads; 2 establishing an on-lane vehicle update rule; 3 establishing a vehicle update rule at intersection positions and establishing a deadlock avoiding rube, wherein vehicles on the cells in the intersections and cells on the peripheries of the intersections follow different update rules; 4 distributing N vehicles in the urban road network to perform a simulation experiment, wherein the vehicles rung by following the rule in the step 2 and the rule in the step 3; 5 acquiring outgoing data of the vehicles in the step 4 and performing calculation and analysis so as to evaluate the characteristic of traffic flows of the urban road network. By means of the cellular automaton model based urban road network traffic flow simulation design method, the running states of complicated traffic flows of the bidirectional two-lane roads and the intersections can be really reflected, and the truthfulness of traffic simulation can be improved.

The invention provides an OpenStack based software defined network simulation system. The system comprises a virtual machine creating module, a simulation network setting module and a test module, wherein the virtual machine creating module creates multiple virtual machines according to requirements, the simulation network setting module arranges at least one software defined network controller and at least one software defined network switch in the created virtual machines according to requirements so as to establish a corresponding network topology network, and the test module tests whether the arranged software defined network controller and software defined network switch satisfy requirements according to the established network topology structure. The system uses the test module to test whether the arranged software defined network controller and software defined network switch satisfy requirements, so that the needed controller and switch can be developed according to requirements, the setting flexibility of the software defined network is improved, and the design cost is reduced. The invention also provides a software defined network simulation method.

For each of a number of network performance metrics, an associated value r_pm that represents a difference between a first correlation coefficient r₁ computed for a baseline data set and a second correlation coefficient r₂ computed for a second data set that includes the baseline data set and other data points classified as duration outliers is computed. The first and second correlation coefficients for each network performance metric represent correlation between that network performance metric and durations of network connections. The network performance metric that has a largest associated r_pm value of all statistically significant r_pm values computed is selected as representing the probable root cause of the duration outliers. Statistical significance is measured through comparison of an r_pm value with a statistical property of a set of Bayesian correlation coefficients computed for each performance metric.

The invention discloses a hardware based network simulation system. The system comprises a network simulation unit and multiple simulation nodes, wherein the network simulation unit adjusts the topological graph of the simulation nodes in a simulation network according to users, and configures characteristic parameters of a simulation link connected to the simulation nodes; and based on the adjusted network topological graph and the configured link characteristic parameters, the simulation nodes implements simulated experiments on the network protocols or server program via the simulation link. The invention further discloses a simulation method based on the network simulation system. Compared with a traditional network experiment platform, a network simulator computer (or embedded equipment) is connected with multiple simulation node computers, a simulation control system of the network simulator computer is operated to realize network topology change and configuration of the characteristic parameters of the simulation link, and the network protocol can be verified under different network topologies and link characteristic parameters via fewer common computers.

A service appliance is installed between production servers running service applications and service users. The production servers and their service applications provide services to the service users. In the event that a production server is unable to provide its service to users, the service appliance can transparently intervene to maintain service availability. To maintain transparency to service users and service applications, service users are located on a first network and production servers are located on a second network. The service appliance assumes the addresses of the service users on the second network and the addresses of the production servers on the first network. Thus, the service appliance obtains all network traffic sent between the production server and service users. While the service application is operating correctly, the service appliance forwards network traffic between the two networks using various network layers.

The method is designed based on NetraMet and NetFlow system. It uses a sampling ratio supporting a high-speed multi-link logical channel network traffic measurement, which can makes self-adaption to the message sampling ratio and the traffic sampling ratio according to the network traffic state and supports to use time slice approach to output the stream message. It uses a general approach to monitor the traffic in any channels.

The invention relates to a network safe simulation system and relative imitation method. The logical function of said network safe simulation system comprises: a virtual network module, a attack-defend dynamic chain connection base, a system control module, and a display module, while said logical functions are displayed by the control layer, virtual network device layer, public interface layer, middle layer and bottom function base. The virtual network device can simulate the host machine, router, firewall, network card, concentrator, and network wire on the single machine to connect each virtual network device to form the virtual network. The process that using said virtual network to process the safe simulation comprises: first, setting the user program; distributing system parameter document; coding the system; imitated operating the coded system in the operating system; at last collecting the simulated data according to which makes the network safety analyst. The invention has easy operation and extended availability, which can be used as network safety research simulation environment and imitation platform.

The invention discloses a hybrid prediction method for network traffic. The method is characterized in that a network traffic prediction method with an extreme learning machine (ELM) being compensated by autoregressive integrated moving average (ARIMA), namely, a network traffic prediction method with the ELM being compensated by a Farctal autoregressive integrated moving average model is provided through a self-similarity analysis of a network traffic sequence. The method comprises the following steps: firstly, predicting the network traffic sequence with the ELM; secondly, correcting an error sequence of network traffic prediction through an ARIMA model; and lastly, overlaying an ELM predicted value and an ARIMA model correction value to obtain a final predicted value. According to the method, prediction error data is fitted by the ARIMA model, and the predicted value of the ELM is overlaid with a residual error of ARIMA prediction to obtain the final predicted value. Residual error compensation is performed through the ARIMA model, thereby effectively increasing the prediction accuracy.

The invention aims to provide an interactive traffic simulation system with a distributed system structure, which is a novel traffic-driving hybrid simulation system. The core is that: a returning vehicle driving simulator for a person serves as a traffic participation entity and is introduced into the traffic simulation system. The vehicle driving simulator serving as the traffic participation entity controlled by a user driving behavior and a virtual traffic participation entity generated in the traffic simulation system interact and participate traffic simulation calculation together so as to realize cooperative simulation of a plurality of vehicle driving simulators and a plurality of traffic environment simulation servers in the same virtual traffic environment. The invention has the characteristics that: the traffic simulation system has a flexible structure, is convenient to expand, supports man-machine interaction and is high in simulation confidence, and the like; and the system can be used in the fields of traffic simulation and driving simulation and can provide a novel platform for research and application in the fields of driving behaviors, driving psychology, traffic safety, intelligent transportation, road and bridge design and the like.

A distributed network monitoring system includes a central monitoring device configured to fetch network traffic information from one or more remote monitoring devices in response to receiving a notification from the remote monitoring devices that the network traffic information is available, the remote monitoring devices being communicatively coupled to the central monitoring device. The network traffic information is associated with a timestamp which indicates a time period at which the network traffic information was collected by the remote monitoring devices. The central monitoring device further synchronizes the network traffic information from the remote monitoring devices by comparing the timestamp of the network traffic information with a system timestamp provided by a system clock or network time protocol (NTP) server. The network traffic information is identified as unavailable if the timestamp cannot be located when compared to the system timestamp. In addition, the central monitoring device starts a timeout wait period for the remote monitoring device with the unavailable network traffic information and further ceases collecting the network traffic information if the timeout wait period expires. The synchronized network traffic information is further consolidated to provide information regarding the overall performance of a network system.

The application relates to a network traffic classification method and system based on deep learning, and electronic equipment. The method comprises the following steps: step a, capturing network traffic sample data; step b, extracting a global feature data set of the network traffic sample data through a deep learning classification algorithm; and step c, constructing a random forest classification model according to the global feature data set, and outputting a network traffic classification result through the random forest classification mode. The random forest classification model is trained by utilizing the extracted global feature, the result shows a stable classification performance, and the ultra-high-dimension traffic data can be processed, and the feature selection is avoided. Compared with the prior art, the high-precision and high-performance of the network traffic classification can be effectively guaranteed; and meanwhile, the classification efficiency can be improved, the training time is shortened, and the computation overhead is reduced.

An apparatus is equipped to receive network traffic data for network traffic routed through a number of routing devices with one or more degrees of separation from a network node. The network traffic data include at least network traffic data for network traffic destined for the network node which meet a traffic type selection criteria and are routed by the routing devices to the network node. The apparatus is further equipped to progressively regulate and de-regulate network traffic routing by the routing devices based at least in part on the received network traffic data and the degrees of separation of the routing devices from the network node. Regulation extends from routing devices with the lowest degree of separation from the network node to routing devices with the highest degree of separation, following in the reverse direction of the routing paths traversed by the packets to reach the network node. In one embodiment, the extension or push back is made one degree of separation at a time. In one embodiment, deregulation follows the reverse path, whereas in another embodiment, deregulation is determined and implemented locally, whenever regulation or the extent of regulation is no longer needed. In one embodiment, regulation is made in accordance with a not-to-exceed profile, and the not-to-exceed limit or limits are divided up as regulation extends away from the network node.