SHEPHERD: A shipping-based query processor to enhance SPARQL endpoint performance


Abstract:

Recent studies reveal that publicly available SPARQL endpoints exhibit significant limitations in supporting real-world applications. In order for this querying infrastructure to reach its full potential, more flexible client-server architectures capable of deciding appropriate shipping plans are needed. Shipping plans indicate how the execution of query operators is distributed between the client and the server. We propose SHEPHERD, a SPARQL client-server query processor tailored to reduce SPARQL endpoint workload and generate shipping plans where costly operators are placed at the client site. We evaluated SHEPHERD on a variety of public SPARQL endpoints and SPARQL queries. Experimental results suggest that SHEPHERD can enhance endpoint performance while shifting workload from the endpoint to the client.

Año de publicación:

2014

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Base de datos
    • Ciencias de la computación
    • Transporte

    Áreas temáticas:

    • Funcionamiento de bibliotecas y archivos