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In spite of the latest improvements in distributed RDF data management, processing a large number of RDF data on the cloud remains difficult. Despite its apparent simplicity, RDFstores rich and complicated graphs that include both schema-level information and instance. Typical strategies for splitting such data with the graph by the use of old min-cut algorithms result in incomplete distributed performance and a significant quantity of joins. In this work, we describe Diplo Cloud, a cloud-based distributed RDF data management system that is both efficient and scalable. Diplo Cloud performs a…mehr

Produktbeschreibung
In spite of the latest improvements in distributed RDF data management, processing a large number of RDF data on the cloud remains difficult. Despite its apparent simplicity, RDFstores rich and complicated graphs that include both schema-level information and instance. Typical strategies for splitting such data with the graph by the use of old min-cut algorithms result in incomplete distributed performance and a significant quantity of joins. In this work, we describe Diplo Cloud, a cloud-based distributed RDF data management system that is both efficient and scalable. Diplo Cloud performs a physiological examination of both instance and schema data before splitting the data in contrast to earlier techniques.
Autorenporträt
Raja Reddy Duvvuru, Associate Professor, Department of EEE, Malla Reddy Engineering College, Hyderabad.Dr.V.Madhusudhan Reddy, Professeur, Département EEE, Malla Reddy Engineering College, Hyderabad.