IEEE Transactions on Parallel and Distributed Systems

IEEE Transactions on Parallel and Distributed Systems (TPDS) is a scholarly archival journal published monthly. Parallelism and distributed computing are foundational research and technology to rapidly advance computer systems and their applications. Read the full scope of TPDS.


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From the December 2017 Issue

Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics

By Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, and Panos Kalnis

Free Featured Article Modern applications require sophisticated analytics on RDF graphs that combine structural queries with generic graph computations. Existing systems support either declarative SPARQL queries, or generic graph processing, but not both. We bridge the gap by introducing Spartex, a versatile framework for complex RDF analytics. Spartex extends SPARQL to combine seamlessly generic graph algorithms (e.g., PageRank, Shortest Paths, etc.) with SPARQL queries. Spartex builds on existing vertex-centric graph processing frameworks, such as Graphlab or Pregel. It implements a generic SPARQL operator as a vertex-centric program that interprets SPARQL queries and executes them efficiently using a built-in optimizer. In addition, any graph algorithm implemented in the underlying vertex-centric framework, can be executed in Spartex. We present various scenarios where our framework simplifies significantly the implementation of complex RDF data analytics programs. We demonstrate that Spartex scales to datasets with billions of edges, and show that our core SPARQL engine is at least as fast as the state-of-the-art specialized RDF engines. For complex analytical tasks that combine generic graph processing with SPARQL, Spartex is at least an order of magnitude faster than existing alternatives.

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Editorials and Announcements

Announcements

  • We are pleased to announce that Manish Parashar, a Distinguished Professor of Computer Science at Rutgers, The State University of New Jersey University, has been selected as the new Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems starting in 2018.
  • According to Clarivate Analytics' 2016 Journal Citation Report, TPDS has an impact factor of 4.181.

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