Editorial for FGCS special issue: Big Data in the cloud

Victor Chang, Muthu Ramachandran, Gary Wills, Robert John Walters, Chung Sheng Li, Paul Watters

    Research output: Contribution to journalEditorial

    7 Citations (Scopus)

    Abstract

    Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.

    Original languageEnglish
    Pages (from-to)73-75
    Number of pages3
    JournalFuture Generation Computer Systems
    Volume65
    DOIs
    Publication statusPublished - 1 Dec 2016

    Fingerprint Dive into the research topics of 'Editorial for FGCS special issue: Big Data in the cloud'. Together they form a unique fingerprint.

  • Cite this

    Chang, V., Ramachandran, M., Wills, G., Walters, R. J., Li, C. S., & Watters, P. (2016). Editorial for FGCS special issue: Big Data in the cloud. Future Generation Computer Systems, 65, 73-75. https://doi.org/10.1016/j.future.2016.04.007