IEEE Transactions on Parallel and Distributed Systems

TPDS Seeks Editor-in-Chief for 2018-2020 Term

The IEEE Computer Society seeks applicants for the position of editor-in-chief of the IEEE Transactions on Parallel and Distributed Systems, serving a three-year term starting 1 January 2018. Prospective candidates are asked to provide a complete curriculum vitae, a brief plan for the publication's future, and a letter of support from their institution or employer (as PDF files) by 1 March 2017. For more information on the search process and to submit application materials, click here or please contact: Kimberly Sperka,

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 February 2017 Issue

Failure Diagnosis for Distributed Systems Using Targeted Fault Injection

By Cuong Pham, Long Wang, Byung Chul Tak, Salman Baset, Chunqiang Tang, Zbigniew Kalbarczyk, and Ravishankar K. Iyer

Free Featured ArticleThis paper introduces a novel approach to automating failure diagnostics in distributed systems by combining fault injection and data analytics. We use fault injection to populate the database of failures for a target distributed system. When a failure is reported from production environment, the database is queried to find “matched” failures generated by fault injections. Relying on the assumption that similar faults generate similar failures, we use information from the matched failures as hints to locate the actual root cause of the reported failures. In order to implement this approach, we introduce techniques for (i) reconstructing end-to-end execution flows of distributed software components, (ii) computing the similarity of the reconstructed flows, and (iii) performing precise fault injection at pre-specified executing points in distributed systems. We have evaluated our approach using an OpenStack cloud platform, a popular cloud infrastructure management system. Our experimental results showed that this approach is effective in determining the root causes, e.g., fault types and affected components, for 71-100 percent of tested failures. Furthermore, it can provide fault locations close to actual ones and can easily be used to find and fix actual root causes. We have also validated this technique by localizing real bugs that occurred in OpenStack.

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Editorials and Announcements


  • According to Thomson Reuters' 2013 Journal Citation Report, TPDS has an impact factor of 2.173.

  • TPDS celebrates its 25th Anniversary. Editor-in-Chief David A. Bader says, "Congratulations to TPDS on its Silver Jubilee! For 25 years, TPDS has been the parallel and distributed computing community's flagship journal for research breakthroughs!"

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