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GLORY-DB: A Distributed Data Management System for Large Scale High-Dimensional Data
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- Authors
- Hyun Hwa Choi, Hun Soon Lee, Kyeong Hyeon Park, Mi Young Lee
- Issue Date
- 2008-07
- Citation
- International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2008, pp.757-760
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, the proliferation of the web and digital photography has resulted in the need of a distributed storage system for managing large scale data and an indexing technique for supporting efficient nearest neighbor search on high-dimensional data. One of the most challenging areas in the fields of a distributed data managing and image processing is scalability of data and machines. Especially, for a large scale image clustering problem, which can not fit on a single machine, the traditional nearest neighbor search can not be applied. This paper presents the design of a distributed data management system, highly available and scalable storage system which provides contents-based retrieval using a hybrid spill tree with local signature files. We describe our scalable index structure and how it can be used to find the nearest neighbors in the cluster environments.
- KSP Keywords
- Clustering problem, Digital photography, Distributed data management system, High-Dimensional Data, Image clustering, Image processing, Index Structure, Indexing technique, Large scale image, Large-scale data, Signature files