The realities of mapping objects to relational databases
Software Development
A High Performance Image Database System for Remotely Sensed Imagery
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
High Performance Storage System Scalability: Architecture, Implementation and Experience
MSST '05 Proceedings of the 22nd IEEE / 13th NASA Goddard Conference on Mass Storage Systems and Technologies
Interpreting the data: Parallel analysis with Sawzall
Scientific Programming - Dynamic Grids and Worldwide Computing
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
The Chubby lock service for loosely-coupled distributed systems
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
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Remote sensing images are important in ecological, geographical and military applications. With the rapid growing volume of remote sensing images, how to manage and store the massive remote sensing images is becoming a must-be-solved problem. We build a scalable storage and management system for massive remote sensing images aiming to store global remote sensing images -- Global Remote Sensing Images Management and Storage system (GRIMS). In GRIMS, we propose a tile pyramid model -- Plate Carree Projection Grid Quad-Tree (PCPGQT) to spatially partition the high resolution images and build a double tower (DT) index for the big image data file. Meanwhile, we analyze the fragment problem in image mosaic. Through fragment collection, huge disk spaces could be saved. By using the open source software HADOOP, we realize a distributed storage system to store massive image data file. Experiments show that our tile pyramid model is suitable to support our system purpose, and the distributed storage system is highly efficient.