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Native Graph Support in Relational Data Systems
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Native Graph Support in Relational Data Systems. |
| 개인저자 | Hassan, Mohamed S. |
| 단체저자명 | Purdue University. Computer Sciences. |
| 발행사항 | [S.l.]: Purdue University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 166 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-02B(E). Dissertation Abstract International |
| ISBN | 9780438371361 |
| 학위논문주기 | Thesis (Ph.D.)--Purdue University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Walid G. Aref. |
| 요약 | 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- |
| 요약 | 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 |
| 요약 | 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 |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
