96 results about "Network performance optimization" patented technology

The present invention is a computer system and a method for gathering, processing and analysis of network information resulting in presentation and visualization of packet networks in the form of individual virtual flows, sometimes also called connections or sessions, containing their statistical characteristics in a time-sampled dynamics. The system, deployed as a separate device or co-hosted with other network devices, collects and processes information from all valid packets in network, classifies and maps gathered statistics to the statistics of relevant virtual flows. The statistical information is further processed by the system to provide near-real presentation, as well as stored in a searchable database for future analyses. The invention to be used by network engineers and administrators as a tool for a near real-time control of network traffic, as an analytical tool for solving network bottlenecks, network performance optimization and troubleshooting analyses, cutting costs by optimizing network layout, appropriate organization of traffic and intelligent configuration of QoS, routers and other network devices.

A method of configuring small cell base stations in a cellular network is disclosed. A constraint on a performance-related metric associated with at least a portion of the cellular network is received. In some embodiments, the constraint on the performance-related metric comprises a constraint on a performance-related metric associated with one or more macrocells. Measurement data from one or more small cell base stations is received via a control interface. One or more optimized values of one or more parameters associated with one or more small cell base stations are searched. The searching is based at least in part on the received measurement data and subject to the constraint on the performance-related metric associated with the at least a portion of the cellular network. The one or more optimized values of the one or more parameters to the associated small cell base stations are transmitted.

The invention relates to the technical field of communication and discloses a service feature based communication service forecasting method. The method includes following steps: S1, preprocessing service volume data to be forecast; S2, subjecting the service volume data after being preprocessed to sample construction, sample generalization and sample screening; S3, clustering the service volume data after being processed in the S2 according to service feature of samples to obtain a forecasting model of the service volume data with multiple area types; S4, performing service forecasting to the service volume data of each area type, and estimating network areas where the service volume data are positioned; S5, estimating network resources needed in the network areas; and S6, comparing the estimated network resources with existing network resources in the network areas, and performing network plan optimization according to comparison results. By the service feature based communication service forecasting method, sudden factors influencing the service volume data are smoothed, and influences, of smoothing, on forecasting results are eliminated after forecasting, so that forecasting accuracy is improved.

The invention discloses a method and device for evaluating mobile data service quality oriented to user experience and belongs to the field of mobile wireless network performance evaluation. In view of eight current main mobile data services of the mobile Internet, a key quality indicator system for both subjective quantitative evaluation and objective quantitative evaluation is provided. The measured value of the key quality indicator system may perform objective quantitative evaluation on user subjective service experience by means of a nondimensionalized and analytic hierarchy process and can be mapped to a network performance indicator to be used for analyzing and positioning a network fault influencing user awareness and improving the user awareness by eliminating network performance problems. The method and the device solve a problem that a network key performance indicator based on network elements, which is still mainly taken by network operators, for evaluating the network performance, cannot reflect the real feeling of a user using mobile data service so as to cause disjunction between the service using experience of the user and network performance evaluation optimization.

The invention discloses a method for optimizing communication network performance, which comprises: (a) setting and storing a history network optimization correlation matrix according to the design and operational requirement of the communication network; (b) determining a current network optimization correlation matrix by using the current parameter values and performance index values of the network entity in the communication network; (c) determining the parameters required for the adjustment to reach the target value of network entity performance index, according to the corresponding relationship in parameter and performance index between the current network optimization correlation matrix and the history network optimization correlation matrix; and (d) comparing the correlation values between the current network optimization correlation matrix and the history network optimization correlation matrix, and adjusting the parameters to be adjusted based on the predetermined parameter adjustment strategy. The invention also discloses a device for optimizing the communication network performance. With the invention, the service provider can easily judge and determine the parameter target required for the optimization to improve the network performance index, and the network optimization is automatically implemented.

A method and apparatus for on-chip inter-network performance optimization using configurable performance parameters have been described.

The invention discloses an edge server joint task unloading and convolutional neural network layer scheduling method and belongs to the technical field of wireless communication. The method comprisesthe following steps of S1, modeling user equipment task variables; S2, modeling edge server variables; S3, modeling multilayer CNN (Convolutional Neural Network) models; S4, modeling task total delay;S5, modeling a task unloading and CNN layer scheduling constraint condition; and S6, determining an edge server task unloading and CNN layer scheduling policy, and minimizing the task total delay. According to the method, a delay demand of user equipment when the user equipment performs tasks and the task processing performance of the edge servers are taken into overall consideration, the multilayer CNNs deployed in the cloud server are deployed to the edge servers closer to the user equipment, and on the basis of the service capability of the edge servers, partial layers of the multilayer CNNs are called to preprocess the tasks of the user equipment, so the quality of service of users is improved, and the network performance is optimized.

The invention provides a single antenna multichannel cognitive wireless sensor network route control method which is cross-layer optimized and aims at a cognitive wireless sensor network with single collecting nodes, single antenna and multichannel. According to the single antenna multichannel cognitive wireless sensor network route control method, route characteristic number concepts are defined, a multichannel half-holding phone mechanism is designed; a plurality of local routes are generated by utilizing channel priority of data transmission full paths and weighting and minimum of consumption of node collecting and sending as optimization indicators, the routes are saved in a route table of each node according to a combination manner of a channel or a node, the whole network route optimization is achieved by distributed routing algorithm, protocol pay expenses are reduced, network robustness is improved, and utilizing of opportunistic spectrum resources is convenient. Channel switching in data transmission is reduced due to application of the multichannel half-holding phone mechanism. According to testing results, quality of service (QoS) is supported by a routing protocol of the single antenna multichannel cognitive wireless sensor network route control method under the condition that the opportunistic spectrum resources and limiting of node consumption are utilized. Under the condition that node consumption is limited, communication delay and packet loss rate are reduced.

The invention makes a request of protecting a handover decision-making method based on fuzzy logic and TOPSIS algorithms. The method comprises two steps of handover candidate user screening and target network selection. At the handover user screening stage, a fuzzy logic algorithm is used for processing user mobile information to obtain a handover suitability degree; and a handover candidate user is selected by combining RSS, a user type, and the user handover suitability degree, and a handover candidate user set is constructed. At the target network selection stage, multi-cell selection is carried out by using an optimization objective function, wherein the objective function considers a cell load, a handover cost, and a network performance comprehensively and the network performance is obtained by processing the RSS, a time delay, mobility support, and energy consumption comprehensively by using a TOPSIS algorithm, and the function aims at realizing cell load equilibrium, network cost minimization, and network performance optimization; and then an optimal cell is selected based on the optimization function and is used as a handover target network. Therefore, the user requirement can be guaranteed and the network equilibrium can be realized.

The invention discloses an access network selection device and method based on Hidden Markov Model, and belongs to the technical field of wireless communications. According to the access network selection device and method based on Hidden Markov Model, based on service characteristic sensitivity requirements of customers and network state characters, access network optimization selection is conducted to customers who are located in the areas covered by heterogeneous wireless networks, and thus the quality of service (QoS) for the customers is guaranteed and the network performance is optimized. The network access selection method includes the following steps: a. service sensitivity parameters are analyzed and confirmed according to the application state and use preference of the costumers to establish service requirement vector of the customers; b. access networks are modeled in the form of Hidden Markov Model according to historical data of the customers and current network state information; c. the access network of the customers is optimized according to the current needs of the customers, the network attribute information and the network state transition model. The network access selection device and method based on Hidden Markov Model supports a network integration mode, is suitable for heterogeneous wireless network environments, and capable of achieving self-adaptive and intelligent network access based on the network steady state and the service needs of the customers.

The invention discloses a routing cooperative network system and a working method thereof. The system comprises a client module group positioned between an application layer and a TCP layer and used for providing different network performance optimization and routing cooperative strategies, a server module group used for analyzing the basic topology situation of a bottom layer in the node domain managed and managing transmitting nodes. The method comprises the steps that: the routing cooperative network system builds a network; users start up service connection by the routing cooperative network system. The system and the method of the invention can ensure that an application program at the user terminal can actively choose transmission paths according to service requirements so as to optimize transmission quality.

The invention discloses a mobility optimization method. The mobility optimization method comprises the steps that when UE having small data features confirms that cells supporting optimization of the small data processing capacity exist in candidate cells in the cell reselection executing process and performs cell reselection according to small data optimization cell reselection principle information. The invention further discloses another mobility optimization method. The mobility optimization method comprises the steps that a network-side provides cell reselection information for the UE normally residing in the cells and having the small data features, wherein the cell reselection information include reselection principle information including small data processing capacity factors and / or capacity information of a network supporting the optimization of the small data processing or not; target base stations having the small data processing optimization capacity and meeting the switching conditions are preferentially selected for the UE having the small data features during switching execution, and switching request messages are sent to the selected target base stations. The mobility optimization method can reduce whole-network signaling expenditure caused by small data transmission, achieve network performance optimization and improve the system efficiency.

The invention discloses a routing selection method based on a hierarchical IP network coordinate system, relates to the field of computer network performance optimization, and aims to provide a way to improve the traditional IP network coordinate system, which can only predict time delay and is difficult to provide more network performance information. Cause the routing selection method that data packet route forwarding efficiency is low; This method comprises the following steps, and node first constructs global coordinate and local coordinate; And when sharing coordinate information, through the TTL (time to live) field in the IP datagram Obtain routing hop information to understand the path to the remote node; finally, the global coordinates and local coordinates cooperate with each other, that is, the global coordinates predict the directionality and relative position of the nodes, and determine the direction of data forwarding, while the local coordinates combine routing hops Number, accurately predict the delay between nodes, and finally predict one or several paths with the least delay cost, and the data packets will be forwarded along this path, so as to improve network utilization.

The invention discloses a method for dispatching a rail traffic vehicle grade network based on CANopen (Controller Area Networkopen). A dispatching method is designed for easily realizing the protocol open and development of a rail traffic vehicle grade network. The method comprises the following steps of: (a) confirming a rail traffic vehicle grade network cycle parameter; (b) confirming a data identifier; (c) establishing a network dispatching table according to the network cycle parameter and the data identifier; (d) deciding whether corresponding cycle data is transmitted or not after all nodes of the network receive a network synchronous frame signal; and transmitting accidental data at random during data change. The method achieves the aims of balanced network load, reasonable configuration, high reliability, good network performance optimization, strong instantaneity and large data volume, provides an open, reliable and easily developed network platform for a rail traffic vehicle grade equipment producer and easily realizes the interconnection of rail traffic vehicle grade equipment on the vehicle grade network.

The invention provides an operation and maintenance system for network management of radio access networks. The operation and maintenance system comprises an extension management device, a radio configuration device and a network performance optimizing device, wherein the extension management device is used for managing multiple types of radio access networks in an extensible manner so as to be compatible with multiple management functions of the radio access networks; the radio configuration device is used for supplying an online configuration function and transmitting configuration information to the radio access networks on line through the extension management device; and the network performance optimizing device is used for obtaining and analyzing performance data from the radio access networks through the extension management device and transmitting the optimized performance data to the radio access networks through the extension management device. Compared with the prior art, the operation and maintenance system integrates the powerful functions of performance management of network elements and has a performance analyzing function from a network equipment to the extension management device and an optimization function from the extension management device to the network device; and in addition, the network elements can be more flexibly configured due to the offline configuration and the pre-checking functions of the operation and maintenance system.

The invention discloses a sector optimizing method and device, relating to the field of information technology and improving the sector optimization degree. The method comprises the steps of firstly, determining a value score and a value area of each sector; then, determining a network performance score of each sector; according to the network performance score of each sector, determining a network performance area of each sector; and finally, according to the value area and the network performance area of each sector, screening out sectors needing network performance optimization or value optimization. The method is applicable to optimization of network performance or value of each sector according to the network performance score and the value score of each sector.

The invention provides a clustering method and a clustering device of a wireless sensor network based on genetic algorithm optimization. An optimal weight is calculated based on a genetic algorithm, the weight is multiplied by the weight of a LEACH algorithm, thus, one optimal weight which adapts to sensor distribution in the current wireless sensor network and adapts to a preset network performance optimization direction is obtained, the optimal weight is substituted into the LEACH algorithm to perform clustering for the wireless sensor network, a threshold value is multiplied by one optimalweight, thereby the number of nodes selected as cluster header nodes of the current round of the LEACH algorithm can be optimized, operation load of the nodes in the wireless sensor network is reduced, and high performance of the network in the whole data transmission process is guaranteed.

The invention discloses an energy harvesting and consuming performance test system of a chargeable wireless sensor network. The test system is composed of a radio-frequency energy source, a plurality of chargeable wireless sensing nodes and a data collecting and analyzing module; the radio-frequency energy source transmits an electromagnetic wave carrying information and energy; the chargeable wireless sensing nodes collect the electromagnetic wave transmitted by the radio-frequency energy source, convert the collected energy into a direct current to be supplied to the nodes and peripheral sensing equipment, use the collected information to realize the communication among the nodes and read the sensor information carried by the nodes themselves; the data collecting and analyzing module reads the sensing information of the chargeable wireless sensing nodes, processes the read information and analyses the energy harvesting and consuming performance of each node so as to assess the performance of the whole network. The energy harvesting and consuming performance test system of the invention provides a practical test platform for theoretical research of the chargeable wireless sensor network, evaluates validity of multiple chargeable wireless network energy optimization algorithms to network performance optimization, and provides correction parameters for improving the algorithms.

The invention discloses a Redhat Linux system based realization method for network card performance optimization, and belongs to the technical field of network card optimization. An interrupt number allocated to a network card by a related system is found by utilizing a system command; an interrupt number of eth* is found by capturing an eth* character in an interrupt file; and a CPU modifying and processing an interrupt through a system echo instruction allocates the interrupt to a CPU with a relatively small load, so that the response time of a database can be effectively shortened, the performance of the network card can be optimized, the CPU can be monopolized by the interrupt of the network card, the burden of other CPUs can be reduced, the integral processing efficiency can be improved, and the network card can obtain higher bandwidth and is better in performance; and furthermore, IRQs are reasonably balanced according to characteristics of production environments and applications, so that the integral throughput capability and performance of the system can be improved.

The invention provides a dynamic network performance evaluation, monitoring and optimization system, belongs to the field of network performance monitoring, and aims at solving the problem that a monitoring and optimization system for different types of network applications does not exist at present. A network application module is used for installing a network application and sending class information to a network performance evaluation module; a network performance measurement module is used for measuring values of network performance parameters to obtain network performance data and then sending the network performance data to the network performance evaluation module and a network performance monitoring module; the network performance evaluation module is used for conducting quantitative / qualitative evaluation on network performances according to the class information and the network performance data to obtain an evaluation report and sending the evaluation report to the network performance monitoring module; the network performance monitoring module is used for dynamically monitoring the network performances according to the network performance data and / or the evaluation report; and a network performance optimization module is used for selecting an optimization strategy corresponding to the class information according to a monitoring result of the network performance monitoring module and sending the optimization strategy to the network application module to enable the network application module to optimize the network performances according to the optimization strategy.

The invention discloses a wireless network performance optimization method based on causality diagnosis. The method includes the following steps: a data preselection step which includes obtaining historical data of all base stations in a target city and setting indices of data analysis, selecting a plurality of network communication index variables according to the indices and selecting time series data of the network communication index variables in any one time period; a data analysis step which includes adopting a Granger causality test method to analyze the time series data and outputtingan index directed causality network diagram; and an optimization scheme formulation step in which a user analyzes the factors influencing wireless network performance optimization according to a dependency relationship among the indices presented by the index directed causality network diagram and formulates a corresponding scheme or intervention measures. The invention also discloses electronic equipment and a storage medium. The wireless network performance optimization method based on causality diagnosis effectively discovers and summarize mutual influence rules among the related communication indices influencing the performance of the wireless network from the data, and thus provides more effective data reference for improving the quality of the wireless network.

The invention discloses a system for optimizing the performance of a service network and realizing automatic hitching between an optimizing tool and the service network by the optimizing tool for establishing the service network and an application program interface which provides the optimizing tool and is based on the service network. The system also comprises a service network buffer zone, a synchronous guard thread, a service network optimizing API and an API selector. Compared with the prior art, the system carries out analysis in a source code level of the service network system directly, combines the application scene of the service network to establish a method for optimizing the performance of the service network, adopts the design of paralleling programs and further increases the performance of the service network. On the premise of not changing the model framework of the service network, the service network information is pre-analyzed in a plug and play dynamically joining manner, and the pre-analysis result is put in a buffer zone; the invention also provides the application program interface (API) based on a buffer block, and the API combines seamlessly with an original API in the service network; and the invention provides two threads to ensure synchronous information of the service network among the buffer blocks.

The embodiment of the invention relates to a method and equipment for transmitting data and a computer program product. A method includes determining, at a source node, a traffic type of a packet to be sent to a destination node, wherein a plurality of network paths for different service types are arranged between the source node and the destination node. The method also includes including a flagindicating the traffic type in the packet. Further, the method includes sending a packet including the flag to the destination node such that the packet is forwarded along a network path of the plurality of network paths that is specific to the traffic type. According to the embodiment of the invention, different network paths are respectively used for transmitting data according to different service types of the data, so that network performance optimization can be carried out according to different network requirements.