@inproceedings{e2ea991183f244a8bc1341045cb86f12,
title = "Tof: A throughput oriented framework for spatial queries processing in multi-core environment",
abstract = "In this paper, we develop a Throughput Oriented Framework (TOF) for efficient processing of spatiotemporal queries in multicore environment. Traditional approaches to spatial query processing were focused on reduction of query latency. In real world, most LBS applications emphasize throughput rather than query latency. TOF is designed to achieve maximum throughput. Instead of resorting to complex indexes, TOF chooses to execute a batch queries at each run, so it can maximize data locality and parallelism on multi-core platforms. Using TOF, we designed algorithms for processing range queries and kNN queries respectively. Experimental study shows that these algorithms outperform the existing approaches significantly in terms of throughput.",
keywords = "Batch query, High throughput, Large update rates, Multi-core, Real-time response, Spatial-temporal database",
author = "Xue, \{Zhong Bin\} and Xuan Zhou and Shan Wang",
note = "Publisher Copyright: {\textcopyright} 2015, Springer International Publishing Switzerland, All rights Reserved.; 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 ; Conference date: 20-04-2015 Through 23-04-2015",
year = "2015",
doi = "10.1007/978-3-319-18123-3\_15",
language = "英语",
isbn = "9783319181226",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "241--256",
editor = "Cheema, \{Muhammad Aamir\} and Matthias Renz and Cyrus Shahabi and Xiaofang Zhou",
booktitle = "Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015 Proceedings, Part II",
address = "德国",
}