gMark: schema-driven generation of graphs and queries (extended abstract)

G. Bagan, A. Bonifati, R. Ciucanu, G.H.L. Fletcher, A. Lemay, N. Advokaat

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


Massive graph data sets are pervasive in contemporary application domains. Hence, graph database systems are becoming increasingly important. In the experimental study of these systems, it is vital that the research community has shared solutions for the generation of database instances and query workloads having predictable and controllable properties. We present the design and engineering principles of gMark, a domain- and query language-independent graph instance and query workload generator. A core contribution of gMark is its ability to target and control the diversity of properties of both the generated instances and the generated workloads coupled to these instances. Further novelties include support for regular path queries, a fundamental graph query paradigm, and schema-driven selectivity estimation of queries, a key feature in controlling workload chokepoints. We illustrate the flexibility and practical usability of gMark by showcasing the framework's capabilities in generating high quality graphs and workloads, and its ability to encode user-defined schemas across a variety of application domains.
Originele taal-2Engels
TitelProceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's2
ISBN van elektronische versie978-1-5090-6543-1
StatusGepubliceerd - 16 mei 2017
Evenement33rd IEEE International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, USA - Hilton San Diego Resort and Spa, San Diego, Verenigde Staten van Amerika
Duur: 19 apr 201722 apr 2017
Congresnummer: 33


Congres33rd IEEE International Conference on Data Engineering (ICDE 2017), April 19-22, 2017, San Diego, California, USA
Verkorte titelICDE 2017
LandVerenigde Staten van Amerika
StadSan Diego
Internet adres

Vingerafdruk Duik in de onderzoeksthema's van 'gMark: schema-driven generation of graphs and queries (extended abstract)'. Samen vormen ze een unieke vingerafdruk.

Citeer dit