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A Survey of Big Workflow

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Book cover Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 520))

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Abstract

Big data has been touted as the next frontier for innovation, competition, and productivity growth. The promising and rewarding benefits of big data have attracted government agencies and businesses worldwide to extract valuable new insights from big data by reengineering their business and information processes. Although big data can provide valuable information to make intelligent decisions and obtain insights, it comes with many new challenges that must be addressed in order to fully leverage the opportunities provided by Big Data. This paper provides an overview of the opportunities and challenges of big workflow within the context of workflow applications and systems. By applying big workflow in decision making process, organizations are able to visualize data differently and become more valuable.

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Author information

Authors and Affiliations

  1. School of Information Technology, Deakin University, Melbourne, Australia

    Maslina Abdul Aziz, Jemal H. Abawajy & Ikram Ul Haq

  2. Universiti Teknologi MARA, Kedah, Malaysia

    Ida Normaya Mohd Nasir

Authors
  1. Maslina Abdul Aziz
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  2. Jemal H. Abawajy
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  3. Ikram Ul Haq
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  4. Ida Normaya Mohd Nasir
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Corresponding author

Correspondence to Maslina Abdul Aziz .

Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

    Mohamed Othman

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Rozaida Ghazali

  4. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Mustafa Mat Deris

  5. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Hairulnizam Mahdin

  6. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

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Aziz, M.A., Abawajy, J.H., Haq, I.U., Nasir, I.N.M. (2019). A Survey of Big Workflow. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_55

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