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Research On Sign Language Inquiry System Based On Cloud Storage Technology

Posted on:2016-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:J R HouFull Text:PDF
GTID:2308330503950022Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the development of society and the continuous development of global integration, for people to exchange language system is more and more abundant, and the main deaf sign language oriented communication system and the corresponding more and more huge and complex. The sign language is described describe and collection of pictures is also increasing, the volume will be growing. Therefore, to sign language description picture also more and more, how massive sign language system image storage and query management has become one of the difficult points of sign language development in the information age.This paper mainly uses the cloud storage technology based on Hadoop and mobile terminal based on Android technology, provides a whenever and wherever possible for users to be able to quickly query sign language schema query system, it has very important significance for the development and application of sign language.The study of sign language query system based on cloud storage technology mainly includes the following several aspects.(1) the cloud technology to improve query performance of sign languageThis paper uses the cloud storage technology, when the user query request is submitted to the server sign language, the server will according to the load situation of each server user sign language query requests assigned to the appropriate server to query request is processed, and will search the sign picture number and sign language picture where the cloud storage server node information is returned to the client, cloud storage mode server sign language picture, effective implementation of load balance, not only improves the efficiency of user queries, but also makes the system characteristics can use cloud technology, sufficient scalability and data security.(2) the improved MapReduce model to achieve load balancing, cloud serverThe server receives the user request in the picture, and download the address is returned to the client in the process, the image download address generation are not random, but through the improvement of calculation models of MapReduce, according to the current cloud computing server nodes work, select the download tasks at a minimum number of cloud computing server node in the picture to download URL is returned to the client, so as to further realize the cloud computing load balancing server, is conducive to the improvement of the whole performance awarded the query system.(3) the client cache technology, to improve the performance of the systemIn the picture will be downloaded to the client, number the pictures for the file name is stored on the client, the query is submitted to the server in the condition of customers, and according to the server returns the sign language picture numbers, query the sign language picture in the client file system, once found in the name of the picture number sign language picture file in the local file system, you do not need to re Xiang Yun storage server nodes send pictures download request, after the user long time use, can greatly reduce the probability of picture download quantity, thereby greatly improving the sign language query performance.Based on the query technology based on cloud sign indicates that the simulation experiment system, the distributed storage, sign language picture files to improve the MapReduce algorithm and image caching client sign language, has a good performance in the aspects of storage and sign language picture, can quickly in response to user request.
Keywords/Search Tags:sign language, query system, cloud computing, Hadoop technology, the client cache
PDF Full Text Request
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