Research And Application Of Interchange Technology For Massive Remote Sensing Data

Remote sensing industry application most for data intensive, calculation intensive applications at thesame time. To improve the efficiency of the remote sensing system not only needs consider improve systemon data of processing capacity, also needs consider how shortened transmission delay. With the increase inusers,it will lead to the consequent increase in network traffic, users will face more and more datatransmission delay and transmission failure.Now, how to improve the data processing of the entire systemthroughput, safe and reliable how to transfer the data to be processed quickly and how to reduce themaintenance cost of data transfer and storage system, how to reduce the coupling degree of application,enhance the scalability and scalability, these have become remote sensing application system developmentand construction process problems to be solved. This article uses the REST (Representational State Transfer)architecture to realize the remote sensing application background data exchange system, full utilization ofexisting network technologies, such as HTTP/JSON, effectively make up for the shortcomings oftraditional network infrastructure, providing simple and efficient in keeping the client interface premisestrive to improve the application of remote sensing data exchange system back scalability provide low-costexpansion and maintenance methods. REST architectural style, especially suitable for resource-basedservice interface design will be Shared on the server of the remote sensing data as a resource, use HTTP,URI, XML and HTML these widely used protocols and standards for the Web service to return to the key toits success-simple.Consumption of a Web service client or Web browser through resource identifier tooperating resources, REST architectural style of development way that makes the system more concise andclear structure.This article uses the REST architectural style of the implementation of a distributed massiveremote sensing data safe and reliable distribution system, and the performance and feasibility of the systemis verified, main achievements have the following three points:(1) To implement the GF application system front and back ends the massive amounts of datasynchronous collaborative functions: through the registration and management of resources, make the frontand back ends can communicate information about metadata automatically carry huge amounts of datafront and back ends to ensure timely synchronous collaborative. (2) To implement massive GF data sharing service of safe and reliable switching functions: researchand development for different front and back ends the GF data exchange middleware to support terabytes ofspace data security exchange, exchange provides the basis for GF application data safety.(3) To realize the huge amounts of data fast distribution functions: to meet the large amount of data,under the environment of high concurrent access to a large number of users to provide stable and lowlatency of massive remote sensing data access service needs, provide basic data for GF applications support,in this paper, using the consistency based on consistent hashing implementation web caching system.