• DocumentCode
    592826
  • Title

    XGDBench: A benchmarking platform for graph stores in exascale clouds

  • Author

    Dayarathna, Miyuru ; Suzumura, Toyotaro

  • Author_Institution
    Dept. of Comput. Sci., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2012
  • fDate
    3-6 Dec. 2012
  • Firstpage
    363
  • Lastpage
    370
  • Abstract
    In recent years many online graph database service providers have started their operations in public clouds due to the growing demand for graph data storage and analysis. While this trend continues to rise there is little support available for benchmarking graph database systems in cloud environments. In this paper we introduce XGDBench which is a graph database benchmarking platform for cloud computing systems. XGDBench has been designed to operate in current cloud service infrastructures as well as on future exascale clouds. We extend the famous Yahoo! Cloud Serving Benchmark to the domain of graph database benchmarking. The benchmark platform is written in X10 which is a PGAS language intended for programming future exascale systems. We describe the architecture of the XGDBench focusing on its importance for exascale clouds. We did a cluster analysis to compare the realistic nature of XGDBench data generator and saw that the community structures of synthetic graphs produced by XGDBench outperforms RMAT. We also conducted performance evaluation of four famous graph data stores AllegroGraph, Fuseki, Neo4j, an OrientDB using XGDBench on Tsubame 2.0 HPC cloud environment.
  • Keywords
    cloud computing; data analysis; database management systems; graph theory; parallel processing; storage management; AllegroGraph; Fuseki; Neo4j; OrientDB; PGAS language; RMAT; Tsubame 2.0 HPC cloud environment; X10; XGDBench data generator; Yahoo cloud serving benchmark; benchmarking graph database systems; benchmarking platform; cloud computing systems; exascale clouds; graph data analysis; graph data storage; online graph database service providers; public clouds; Benchmark testing; Cloud computing; Computational modeling; Databases; Generators; Object oriented modeling; Social network services; Benchmark testing; Database systems; Network theory (graphs); Performance analysis; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-4511-8
  • Electronic_ISBN
    978-1-4673-4509-5
  • Type

    conf

  • DOI
    10.1109/CloudCom.2012.6427516
  • Filename
    6427516