50 results about "Network awareness" patented technology

Embodiments provide power saving schemes for a user equipments (UE) in low power supply state. The power saving schemes include network-assisted power saving schemes and UE-triggered power saving schemes. Network-assisted power saving schemes require network awareness of the low power supply state of the UR Thus, embodiments provide the UE the ability to communicate its power supply state to the network. UE-triggered power saving schemes may or may not require network awareness of the UE s power supply state andd/or of the execution of the HE-triggered power saving scheme at the UE.

A method of clustering communication nodes based on network attributes such as network delays and forwarding capacity; on communication interest attributes; and on application attributes such as quality of service preferences/constraints (e.g. end-to-end delay constraints, bandwidth constraints) in providing communications between users and application servers. A multi-attribute communication feature vector is formed. That vector is comprised of network attributes (such as available bandwidth, client location attributes in the IP map), communication interests attributes (client request for content updates, client subscription to specific data items or to a set of proximal data sources in network space or application/virtual space) and quality of service requirements (such as delay and loss constraints is used to from efficient group communication mechanisms for distributed collaborative applications. Then the multi-attribute communication feature vectors are clustered. The clustering methods for multi-type attribute feature vectors are: iterative clustering using a generalized distance space with normalized attribute subspace metrics; fusion clustering, and nested clustering.

Provided is a neural network optimization method based on a floating number operation inline function library, wherein the model of neural unit is Y=1/(1+exp(-Sigma wi*xi)). The value range of i is 1 to n, and n is the number of neural units. The floating-point operations inline function is structured in a dikaryon chip, namely, function library IQ math Library. In the neural network optimization method based on a floating number operation inline function library, except that the step _IQ(x[i]) is carried out in circulation, the rest steps are all carried out outside the circulation body, and the efficiency of the execution of all the steps as a whole is greatly improved compared with a floating point arithmetic. The neural network optimization method based on a floating number operation inline function library optimizes the transplant of back propagation (BP) neural network on transcranial magnetic stimulation (TMS) 3206464T, and the accuracy of a result is decided through a beginning decimal calibration. On the premise of guaranteeing the accuracy of the result does not influence the recognition rate, BP network awareness efficiency is greatly improved.

The invention discloses a multi-dimensional assessment and precise construction investment evaluation method based on coverage and value relevance and relates to the technical field of big data analysis in data communication. The method disclosed by the invention performs multi-dimensional analysis on an MR poor coverage ratio, a quantity of MR sampling points, user flow, number of users, user perception data and/or user set information, field road test data, complaint information and suppression flow big data, so that indoor values are excavated, precise planning is performed, site building value is effective improved, service turn-around time is shortened, a network awareness word-of-mouth image of an operator is improved, and finally enterprise benefit is improved.

The invention discloses a network-awareness cloud data center virtual machine allocation method. The network-awareness cloud data center virtual machine allocation method specifically comprises the following steps that: 1, physical server information of each sub-data center in a cloud data center and distance information between the sub-data centers are obtained; 2, sub-data center selection and virtual machine allocation are performed; 3, physical server information of each sub-data center in a selected sub-data center set and communication bandwidth between physical servers can be obtained; and 4, physical server selection and virtual machine allocation are performed. With the network-awareness cloud data center virtual machine allocation method of the invention adopted, the heterogeneity of virtual machines which are required by users are fully considered; requirements for fine-grained virtual machines can be realized; and a virtual machine allocation problem is mapped to a maximum clique problem. Application based on a two-dimensional knapsack algorithm is provided; communication cost between allocated virtual machines can be decreased as far as possible; and at the same time, the maximum distance between the sub-data centers can be minimum, and the maximum communication delay between the physical servers can be minimum.

The invention discloses methods for routing decision and flow table consistency optimization in a software defined satellite network and relates to the field of software defined satellite networks. The method for flow table consistency optimization comprises the following steps of firstly, monitoring the global state of the satellite network in real time through network awareness, maintaining topological graphs in the satellite network at different moments and updating the topology state and events timely; secondly, combining a routing decision based on an issued delay and a routing decision based on path similarity, wherein the needed issued delay and the write delay are smaller, so that the total delay of a flow table updating process is reduced; and lastly, reducing the influence of the time delay from the switch to the a controller on the flow table inconsistency through adjusting an issued order of a switch, and reducing the number of the issued flow table entries to reduce the write time of the flow table entries through carrying out classification processing on the old and new flow tables, thereby reducing the total delay for flow table updating. According to the methods, a problem of inconsistency of flow table updating of the software defined satellite network is better improved.

A method for alleviation of congestion in a mobile communications network includes detecting congested cells in the mobile communications network, identifying subscribers with active data sessions in the congested cells; and optimizing band-width usage for at least one of the identified subscribers. A bandwidth optimization system includes a network sampling interface to receive at least subscriber, cell and data session identifiers from a network data packet sampler, where the sampler identifies the identifiers from internal data traffic within a mobile communications network, and a network awareness engine (NAE) to at least cross reference the identifiers with external data traffic output by the mobile communications network to at least detect congested cells and associated subscriber data sessions emanating from the mobile communications network.

The invention discloses a method for updating a flow table and optimizing flow table consistency of a software defined satellite network, and relates to the field of the software defined satellite network. The method for optimizing the flow table consistency comprises the steps of firstly monitoring a global state of a satellite network in real time through network awareness, maintaining topological graphs at different moments in the satellite network and updating a topological state and events of the network in time; then combining a transmission time delay based routing decision with a path similarity based routing decision, wherein as the needed transmission time delay and the needed write-in time delay are relatively small, the total time delay of the flow table updating process is reduced; and finally, reducing influences from the time delay which is from a switch to a controller to the inconsistency of the flow table through adjusting the transmission sequence of the switch, reducing the number of transmitted flow table items through classifying new and old flow tables so as to reduce the write-in time of the flow table items and accordingly reduce the total time delay for the updating of the flow table. The invention improves the inconsistency problem of the flow table updating of the software defined satellite network in a better way.

The invention provides a network awareness based virtual machine dispatching and re-dispatching method. The network awareness based virtual machine dispatching and re-dispatching method includes a virtual machine dispatching method and a virtual machine re-dispatching method. The virtual machine dispatching method comprises the steps of firstly obtaining a current state of a data center, judging whether an initial communication matrix exists or not, judging whether initial clustering is needed or not according to a judgment result of the initial communication matrix existing situation, then using a shortest sub-tree algorithm to deploy a whole set of virtual machines and a part of clustered virtual machines to virtual machines; then comparing the current state of the data center with a historical state, and triggering re-dispatching when the network communication matrix is obviously changed. The virtual machine re-dispatching method comprises the steps of firstly calculating priorities of all sets of virtual machines, re-dispatching the virtual machines with high priorities, trying to move the sets of virtual machines onto physical machines on the same machine frame, and adopting the step of performing clustering towards the virtual machine center facing the machine frame to conduct re-dispatching if operation fails. By means of appropriate virtual machine migration, the performance of tasks deployed on the virtual machines and the overall network communication efficiency of the data center are improved.

The invention relates to a monitoring method, device and system, monitoring equipment and a readable storage medium, and relates to the technical field of terminals, and the method comprises the steps: obtaining a radar image collected by a microwave radar in a preset region; recognizing detection objects contained in the radar image through a pre-trained deep learning neural network, and determining feature information of each detection object; and sending the feature information of each detection object to a preset AR terminal, so that the AR terminal displays a virtual image corresponding to the preset area according to the feature information of each detection object. By adopting the method and the device, the monitoring coverage can be improved.

The invention provides a method, a device and a system for service resource scheduling and belongs to the technical field of core networks. The method includes that a strategy receives service information of service dataflow reported by deep packet inspection equipment, generates corresponding quality of service (QoS) control strategy according to the service information, and transmits the QoS control strategy to a GREAN (GSM EDGE radio access network) through SGSN (service GPRS (general packet radio service) supporting node) to enable the GREAN to perform radio resource scheduling to the service dataflow according to the QoS control strategy. According to the technical scheme, differentiated radio resource scheduling can be performed to data services by means of high-precision service identification without influences on network awareness of users.

Embodiments of the invention provide a method and a device for network awareness. The method comprises the following steps of obtaining an access way for connecting electronic equipment into a network; when the access way of the electronic equipment is that the network is connected through wireless access equipment, obtaining an internet protocol address of the electronic equipment, wherein the electronic equipment is connected to the wireless access equipment through a wireless connection way; and determining the access way for connecting the wireless access equipment into the network based on the internet protocol address. The method and the device can provide the possibility for reducing the condition that the electronic equipment is unable to visit the network regularly or the network access is failed when a network connection of the electronic equipment is realized through connecting a wireless hotspot.

The invention discloses a method for configuring and optimizing carrier frequencies in a multiple carrier frequency system and a wireless network controller on the basis of the method. The method comprises the following steps of: monitoring state information of a wireless network resource node in real time; when the state information of the wireless network resource node reaches a preset state information reference condition, acquiring wireless parameter configuration information matched with the state information and carrying out evaluation on the wireless parameter configuration information; and according to the wireless parameter configuration information which passes evaluation, configuring the wireless network resource node. According to the invention, the effect of updating configuration of the wireless network resource node at any time according to variation of the state information of the network resource node is realized. According to the invention, the network awareness of a user can be rapidly promoted; wireless network construction cost is reduced; and the problem of implementing dynamic distribution of carrier frequency resources in a TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) system according to the wireless network resource condition is solved. In the wireless resource management process, carrier frequency information is dynamically configured according to the interference characteristics between related cells, so that the effect that frequency reuse density between the related cells in a network is the minimum is achieved.

The invention relates to the technical field of information safety, in particular to a device and a method of data communication by storing a digital certificate private key. The device of the data communication by storing the digital certificate private key comprises an audio input/output module, an audio conversion module, a private key management module, a near field communication (NFC) module, a power supply module and a micro-controller, wherein the audio input/output module is used for being connected and communicated with mobile terminal audio and data, the audio conversion module is used for carrying out mutual conversion and decryption processing on the audio and the data, the private key management module is used for carrying out storage through a certificate and a private key and carrying out data invoking and business signature during the process of identity authentication, the certificate and the private key are applied for through public key infrastructure (PKI)/certificate authority (CA), the NFC module is used in data communication at short ranged through the NFC technology, the power supply module is used for supplying power through a mobile terminal, the micro-controller is used for being connected with the modules and carrying out initialization, state transition and powering up of an interface circuit uniformly. According to the device and the method of the data communication by storing the digital certificate private key, a mobile terminal audio port is adopted to carry out data communication and exchange, and the range of application of a digital certificate is enlarged. The device and the method of the data communication by storing the digital certificate private key is suitable for the identity authentication of various application business of mobile internet and capable of improving reliability and credibility of network awareness.

The embodiment of the invention discloses an access network selection method, a system and communication equipment. The method comprises steps: in response to acquisition of user access information, real-time network state information is acquired from a network awareness analysis system; static policy configuration information is acquired from an ANDSF (Access Network Discovery And Selection Function); and according to the acquired information, access network selection is carried out on the user. The embodiment of the invention can effectively prevent conflicts between an operator strategy for the ANDSF and a dynamic strategy for a PCC (Policy and Charging Control).

The invention discloses a service strategy configuration method and a network device based on network awareness. The method comprises following steps: first, obtaining network awareness information; establishing an environmental information map according to the network awareness information; then obtaining characteristic information of a first node; then configuring a service strategy for the first node according to the environmental information map and the characteristic information of the first node. Thereby, service strategies are configured according to network awareness information and node characteristics.

The invention discloses a method, a device and a system for optimizing a data transmission integrity verification strategy. When a verification management server receives network condition information sent by a verification unit located on a transmission node, a network transmission quality index H is calculated according to the network condition information; and a verification granularity control strategy correlated with the network transmission quality index H is selected, the verification granularity control strategy is sent to the verification unit to enable the verification unit to perform corresponding verification processing according to the verification granularity control strategy. The integrity verification strategy during the data transmission process is controlled according to network awareness, the verification granularity needed by each node can be flexibly adjusted, the system overhead is saved, and a fault point and a data file can be quickly positioned.

The invention discloses a distributed network awareness information storage and query system. The distributed network awareness information storage and query system comprises a user operation interface, an interface layer, an execution layer and a storage layer, wherein the user operation interface is used for accomplishing interaction between a user and the system, and the user carries out storage operation and query operation on dynamic information and static information through the user operation interface; the interface layer is used for receiving or submitting network awareness information stored or queried by the user, and identifying an operation instruction of the user, and comprises a query interface and a storage interface; the execution layer is used for analyzing a data access request of the upper layer, converting the data access request into an internal request of the system, and processing the internal request, and comprises a weak-reading interface, a locating reading interface, an identification interface, a weak-writing interface, a strong-writing interface and a reading repair interface, wherein the locating reading interface and the identifying interface are newly added on the basis of original interfaces of the Cassandra; the storage layer is used for storing the dynamic information and the static information. According to the distributed network awareness information storage and query system, the system load and the network overheads are reduced, and efficiency of storage of the network awareness information is improved.

The invention provides a load balancing judgment method and device, equipment and a storage medium, and the method comprises the steps: obtaining the current network awareness data of all users in a to-be-judged cell, and the current network awareness data comprises the current voice service data and the current data service data; inputting the current network perception data into a preset network perception discrimination model, and obtaining perception weights of all users in a preset network area according to the output of the preset network perception discrimination model; determining the number of users with poor perception in the to-be-judged cell according to a preset network perception threshold value and the perception weight; according to the method, determining whether the to-be-judged cell needs to be subjected to load balancing according to the number of the users with poor perception and the total number of the users of the to-be-judged cell, so that the load condition of the cell can be judged and balanced more accurately, the condition of unbalanced load is effectively solved, the network resource distribution is more reasonable, and the network perception of the users is improved.

The invention relates to an intelligent file caching method based on network awareness and a coverage rate threshold matrix. The method comprises: acquiring and preprocessing user data and the attribute data of a data file based on network awareness, determining the source node of the cached data file, dynamically updating the coverage rate threshold matrix, and placing all nodes satisfying an inactivated condition in the network in an inactivated node set Pinactive; enabling the inactivated nodes Vi to determine the type of a signalling to be executed after receiving the signalling; enabling the inactive nodes Vi to execute the signalling based on the type of signaling, to calculate the node coverage rate of a current file in neighbor nodes, and to send the signalling to the neighbor nodes according to node priorities if the node coverage rate is greater than a coverage rate threshold so as to meet a coverage rate requirement until a file caching termination condition is satisfied. The method solves low content caching efficiency, lack of individuation, and insufficiency in timeliness in the prior art.

The invention provides a multi-scale unsupervised seismic wave velocity inversion method based on observation data self-encoding, which extracts large-scale information in the data through self-encoding of the observation data, and utilizes the information to guide an inversion network to complete recovery of different scale features in a velocity model, thereby reducing the non-linear degree of inversion and improving the accuracy of the inversion. On the basis, a trained observation data auto-encoder coding structure is embedded into the inversion network to complete effective extraction of seismic observation data information by the front end of the inversion network, so that the inversion network can better analyze information contained in seismic data and better establish a mapping relation between the seismic data and a velocity model; the inversion method is completely unsupervised, position codes are added to the observation data input into the network to assist the layout form of a network awareness observation system, and practical engineering application is facilitated. According to the method, an accurate inversion effect of the seismic velocity model can be obtained under the condition that no real geologic model is used as a network training label.