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102results about How to "Avoid duplicate transmission" patented technology

Resource allocation method suitable for mobile edge computing scenes

The invention relates to a resource allocation method suitable for mobile edge computing scenes. The method is used for realizing optimal task cache and uploading and downloading time allocation and low-complexity suboptimum task cache and uploading and downloading time allocation based on task cache and transmission optimization mechanisms, when the computation result of a to-be-executed task ofa mobile device has been cached by a base station, the mobile device downloads the computation result of the task from a base station, otherwise, the mobile device uploads the task to the base stationfor computation, and then downloads the computation result of the task from the base station, when multiple mobile devices upload the same task to the base station, the base station selects the mobile device with the best channel to achieve the uploading, when the multiple mobile devices download the computation result of the same task, the base station sends the computation result of the task ina multicast mode, and the mobile device having the worst channel just successfully receives the computation result. Compared with the prior art, the resource allocation method has the advantages of jointly optimizing the cache and uploading and downloading times and saving energy.
Owner:SHANGHAI JIAO TONG UNIV

Virtual machine image management optimization method based on data de-duplication

The invention discloses a virtual machine image management optimization method based on data de-duplication. The specific steps of the virtual machine image management optimization method based on the data de-duplication include that when a virtual machine image is uploaded, a fixed size partitioning method is adopted by a user end to divide an image file into a plurality of data blocks, the size of each data block is the same as the size of a cluster of a local file system, a mini disk (MD) 5 value of each data block is calculated, Socket programming technology is used, a finger print is sent to a server end, the server end searches the finger print and returns the result to the user end, whether the data blocks are sent is judged by the user end according to the result, and the network sources are saved; when the server end searches the finger print, by using a finger print filter and a finger print storage device, the memory usage amount and disk access amount are reduced; when the data are saved, the data blocks are directly stored in a complete cluster, the repetitive job of image renewing and segmentation is eliminated. The virtual machine image management optimization method based on the data de-duplication achieves a kernel mode file system of the online data de-duplication, reduces the disk storage amount and reduces internet consumption.
Owner:HANGZHOU DIANZI UNIV

Human-computer interface service processing system and method

The invention discloses a human-computer interface service processing system and method. According to the technical scheme, the system comprises a human-computer interface interaction module, a service agent module, a subscription request module and a data processing module, wherein the human-computer interface interaction module serves as a communication interface between a client end and a service end and is used for sending data request; the service agent module is used for serving as an agent of a request event of the client end; the subscription request module is used for releasing and pushing subscription; the data processing module is used for conducting sorting and screening on data and then implementing operation. The method comprises the steps of releasing request information, conducting agent processing on the request information, conducting optimization processing on data transmission and operation, and further releasing and pushing subscription information. The human-computer interface service processing system and method have the advantages that work stations can be deployed flexibly, retransmission of data caused by a single transmission mode can be avoided, and broadband consumption is greatly reduced; data which are used frequently are stored in a buffer memory through a releasing / subscription mode, the requested data size is decreased to the greatest extent, and the extremely rapid reaction speed is achieved; the real-time property and practicability of the work stations are improved.
Owner:ZHUHAI XUJIZHI ELECTRIFIED WIRE NETING AUTOMATIONCO +2

Quasi-synchronous master-slave remote education information management system and its implementation method

The invention relates to the areas of internet technique and satellite broadcast technique. It is composed of master station, multi passive station, and communication unit used to connect the master station and the passive station. The master station is a computer having an integrated system, background database and firewall. The integrated system provides editing and sending functions of networking school. The passive station consists of multi computers connected each other through local area network. One of the said computer is as a server connected to communication unit. The management information system and database of the passive station, and firewall is installed on the server station. Other passive stations connected to the server of passive stations through local area network of passive stations provides for logging user to use the courseware resources from database of the passive stations. The information resources is transmitted and managed with quasi-synchronous, master-slave style. The invention makes larner living in area where the switch in condition of Internet is poor being able to study through local area network. Thus one side, more students can share the education resources provided through Internet, on the other hand, the provider of the resources realizes effective centralizing management.
Owner:TSINGHUA UNIV

Deep neural network encryption reasoning method based on homomorphic encryption technology

A deep neural network encryption inference method based on a homomorphic encryption technology comprises the following steps: transmitting to a cloud, combining a BN layer into a convolution layer by the cloud, carrying out homomorphic convolution operation to obtain a ciphertext feature map after the first layer of convolution operation, and transmitting to a client; after the client receives the data, a mark matrix being obtained through mark operation and transmitted to the cloud server, and after the cloud server receives the mark matrix, updating to obtain an input feature map of a second homomorphic convolution layer; performing second-layer homomorphic convolution operation to obtain a ciphertext feature map after the second-layer convolution operation, and transmitting the ciphertext feature map to the client; and repeating the above process until all the ciphertext feature maps after convolution layer operation are obtained. According to the method, the GPU is used for accelerating the homomorphic convolution operation process, and repeated transmission of data is avoided. Noise increase of the ciphertext can be reduced, the number of reasoning layers of the neural network is increased, and the calculation overhead of the ciphertext is greatly reduced.
Owner:XI AN JIAOTONG UNIV
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