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ODYS: A Massively-Parallel Search Engine Using a DB-IR Tightly-Integrated Parallel DBMS
[article]
2012
arXiv
pre-print
Recently, parallel search engines have been implemented based on scalable distributed file systems such as Google File System. However, we claim that building a massively-parallel search engine using a parallel DBMS can be an attractive alternative since it supports a higher-level (i.e., SQL-level) interface than that of a distributed file system for easy and less error-prone application development while providing scalability. In this paper, we propose a new approach of building a
arXiv:1208.4270v1
fatcat:h2xxbeoxurfbfeg6mmd4qf53gq