Engineering basic algorithms of an in-memory text search engine
ACM Transactions on Information Systems (TOIS)
Fast and effective focused retrieval
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Efficient and effective solutions for search engines
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
University of Otago at INEX 2010
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
Proceedings of the 18th Australasian Document Computing Symposium
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Operating systems only provide general-purpose I/O optimisation since they have to service various types of applications. However, application level I/O optimisation can achieve better performance since an application has a better knowledge of how to optimise disk I/O for the application. In this paper we provide a solution for application-specific I/O for optimising a search engine. It shows a 28% improvement when compared to the general-purpose I/O optimisation of Linux. Our result also shows a 11% improvement when the Linux I/O optimisation is bypassed.