Big Data and Internet of Things—Fusion for different services and its impacts

G. Sun, V. Chang, S. Guan, M. Ramachandran, J. Li, D. Liao

    Research output: Contribution to journalEditorialpeer-review

    Abstract

    Cloud computing emerged to integrate computing resources and increase the efficiency and cost reduction of the technologies for businesses. The emergence of Big Data and IoT have provided new dimensions and opportunities for improved analytics and predictions [1]. This motivates us to develop a special issue on the fusion between Big Data and IoT. The fusion between Big Data and IoT can create impacts in the future generation of our development in smart cities, national planning and forecasting of our future activities and investments. Big Data and IoT fusion also supports directly on pervasive technology to our daily life in healthcare, finance, security, transportation and education [[2], [3], [4], [5], [6]]. To enable future generation of different services, we need to understand and realize the significance of fusion between hardware and software, and between security and reality. By doing so, we can get very light and portable devices that can contain petabytes of data, which need layers of security functions and services to make them protected. We can also use one device that can be a mobile phone, instant messenger, video conferencing center, GPS, database, investment analytics, weather forecaster, camera and data processing center. We can also provide real time security services that can destroy a vast variety of Trojans and viruses, block all security breaches, restore things back to normal and keep the owners alert and safe in real time. Big Data and IoT fusion can help high-tech sectors such as weather forecasting, space technology and biotechnology to enable thousands of simulations to be completed in seconds [[1], [4], [6], [7], [8], [9], [10]]. All these high tech features have become reality and not just in movies enabled by the impacts of Big Data and IoT fusion.

    We received 34 submissions altogether. After conducting a very vigorous review process and a high selection criteria by independent reviewers, only six papers were selected. We have achieved 17.64% acceptance rate to reflect the high expectations and academic merits on all the papers.
    Original languageEnglish
    Pages (from-to)1368-1370
    JournalFuture Generation Computer Systems
    Volume86
    Early online date18 Jun 2018
    DOIs
    Publication statusPublished - 2018

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