Benchmarking Big Data Systems

  in Special Issue   Posted on August 13, 2017

Information for the Special Issue

Submission Deadline: Sun 15 Oct 2017
Journal Impact Factor : 3.997
Journal Name : Future Generation Computer Systems
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/special-issue-on-benchmarking-big-data-systems
Journal & Submission Website: https://www.journals.elsevier.com/future-generation-computer-systems

Special Issue Call for Papers:

There is no doubt that we are living in the era of Big Data where we are witnessing the radical expansion and integration of digital devices, networking, data storage, and computation systems. For about a decade, the Hadoop framework has dominated the world of Big Data processing, however, in recent years, academia and industry have started to recognize the limitations of the Hadoop framework in several application domains and Big Data processing scenarios. Thus, the Hadoop framework has been slowly replaced by a collection of engines dedicated to specific verticals such as structured data (e.g., Apache Hive, Impala, Presto, Spark SQL), graph data (e.g., Pregel, Giraph, GraphX, GraphLab), streaming data (e.g., Apache Storm, Apache Heron, Apache Flink, Samza) and many others. Even though several big data processing and analytics systems have been introduced with various design architectures, we are still lacking a deeper understanding of the performance characteristics for the various design architectures in addition to lacking comprehensive benchmarks for the various Big Data platforms. There is a crucial need to conduct fundamental research with a more comprehensive performance evaluation for the various Big Data processing systems and architectures. We also lack the availability of validation tools, standard benchmarks, and system performance prediction methods that can help us have a deeper and more solid understanding of the strengths and weaknesses of the various Big Data processing platforms.

The aim of this special issue is to bring together active researchers all over the world to share their recent advances in this exciting area. Topics of interest include, but not limited to:

  • Benchmarking and analyzing the performance characteristics of distributed file systems
  • Benchmarking and analyzing the performance characteristics of NoSQL data storage systems
  • Benchmarking and analyzing the performance characteristics of SQL-on-Hadoop systems
  • Benchmarking and analyzing the performance characteristics of large scale graph processing systems
  • Benchmarking and analyzing the performance characteristics of large scale streaming systems
  • Benchmarking and analyzing the performance characteristics of large scale machine learning systems
  • Novel benchmarks for big data processing systems
  • Prediction models for the performance of big data processing systems

Important Dates:

  • Submission Deadline: 15 October 2017
  • Author Notification: 15 January 2018
  • Revised Manuscript Due: 1 March 2018
  • Notification of Acceptance: 1 April 2018
  • Final Manuscript Due: 15 April 2018

Guest Editors:

Prof Sherif Sakr, King Saud Bin Abdulaziz University for Health Sciences

Prof Albert Zomaya, University of Sydney

Prof Athanasios V. Vasilakos, Lulea University of Technology

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