Architecture design of grid GIS and its applications on image processing based on LAN*1

Distributed computing model for processing remotely sensed images based on grid computing

“…RSIDP methods can be divided into two kinds [25]: the use of middleware or the use of distributed message communication. Middleware is suitable for fast implementation of complicated systems and accords with the principle of software modularization and software reuse [25].…”

“…Middleware is suitable for fast implementation of complicated systems and accords with the principle of software modularization and software reuse [25]. Thus, it is widely used in software engineering.…”

“…It can provide advanced resource-sharing and model computing, and can be applied to our new model to gain greater efficiency. Grid computing, which can be implemented by web services and agent technology, was developed to solve the problems of network-resource imbalance and lopsided usage [25]. Combined with spatial information-processing technology, grid computing forms a new technology -spatial information grid (SIG).…”

“…Grid computing is an advanced resource-sharing model, the main aim of which is to solve the problems of resource-utility imbalance and lopsided resource-distributing [23,25]. ''Resources'', as understood here, refer to, not only traditional data resources, but also other network resources, such as computing (CPU and computing capability), storage (HD), information (metadata), knowledge, algorithms resources, etc.…”

An efficient location encoding method for moving objects using hierarchical administrative district and road network

“…); (3) data to handle are large-scale since databases need to maintain temporal data (i.e., past and present) [19] and (4) retrieval cost is high due to large amount of data. Therefore, it is important to devise an indexing and query processing technique that can handle such large-scale multi-dimensional spatio-temporal data efficiently.…”