Workload matters

Author:

Aluç Güneş1,Özsu M. Tamer1,Daudjee Khuzaima1

Affiliation:

1. University of Waterloo

Abstract

The Resource Description Framework (RDF) is a standard for conceptually describing data on the Web, and SPARQL is the query language for RDF. As RDF is becoming widely utilized, RDF data management systems are being exposed to more diverse and dynamic workloads. Existing systems are workload-oblivious, and are therefore unable to provide consistently good performance. We propose a vision for a workload-aware and adaptive system. To realize this vision, we re-evaluate relevant existing physical design criteria for RDF and address the resulting set of new challenges.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analyzing workload trends for boosting triple stores performance;Information Systems;2024-11

2. LSQ 2.0: A linked dataset of SPARQL query logs;Semantic Web;2022-11-29

3. Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture;IEEE Transactions on Knowledge and Data Engineering;2022-03-01

4. Universal Storage Adaption for Distributed RDF-Triple Stores;Big Data Analytics and Knowledge Discovery;2021

5. RDF Data Storage and Query Processing Schemes;ACM Computing Surveys;2019-07-31

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