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020 ▼a 9780438371361
035 ▼a (MiAaPQ)AAI10845084
035 ▼a (MiAaPQ)purdue:23237
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Hassan, Mohamed S.
24510 ▼a Native Graph Support in Relational Data Systems.
260 ▼a [S.l.]: ▼b Purdue University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 166 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Walid G. Aref.
5021 ▼a Thesis (Ph.D.)--Purdue University, 2018.
520 ▼a A variety of data management applications spanning various domains, e.g., social networks, transportation, and bioinformatics, have graphs as first-class citizens. Specialized graph databases can serve these applications to evaluate vital graph-
520 ▼a GRFusion is based on VoltDB, an open-source in-memory relational database. This dissertation shows how the SQL query engine of GRFusion is empowered to declaratively define graphs and execute cross-data-model query plans acting on graphs and rel
520 ▼a To scale for large graphs and heavy query workloads, this dissertation presents Edge-Disjoint Partitioning (EDP) and Self-Balanced Graph Sketch (SBG-Sketch). EDP is a new technique for efficiently answering shortest-path queries with filtering p
590 ▼a School code: 0183.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a Purdue University. ▼b Computer Sciences.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0183
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000038 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033