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020 ▼a 9780355965865
035 ▼a (MiAaPQ)AAI10791948
035 ▼a (MiAaPQ)colorado:15404
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Gao, Ning. ▼0 (orcid)ning-gao
24512 ▼a A Paradigm for Scalable, Transactional, and Efficient Spatial Indexes.
260 ▼a [S.l.] : ▼b University of Colorado at Boulder., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 123 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Dirk Grunwald.
5021 ▼a Thesis (Ph.D.)--University of Colorado at Boulder, 2018.
520 ▼a With large volumes of geo-tagged data collected in various applications, spatial query processing becomes essential. Query engines depend on efficient indexes to expedite processing. There are three main challenges: scaling out to accommodate la
520 ▼a This thesis first introduces a distributed and transactional key value store called DTranx to persist the spatial indexes. DTranx follows the SEDA architecture to exploit high concurrency in multi-core environments and it adopts a hybrid of opti
520 ▼a Then, a paradigm is presented with a set of intuitive APIs and a Mempool runtime to reduce development efforts. Mempool transparently synchronizes local states of data structures with DTranx and it handles two critical tasks: address translation
520 ▼a Lastly, single-threaded data structures BTree and RTree are converted into distributed versions within two weeks. The BTree and RTree achieve 253.07 kops/sec and 77.83 kops/sec through- put respectively for pure search operations in a 25-server
590 ▼a School code: 0051.
650 4 ▼a Computer science.
650 4 ▼a Geographic information science and geodesy.
690 ▼a 0984
690 ▼a 0370
71020 ▼a University of Colorado at Boulder. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0051
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997672 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자