IOTSim: A simulator for analysing IoT applications

Xuezhi Zeng*, Saurabh Kumar Garg, Peter Strazdins, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Rajiv Ranjan

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    168 Citations (Scopus)

    Abstract

    A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in general supported through clouds where data is stored and processed by big data processing systems. In order to improve the efficiency of cloud infrastructure so that they can efficiently support IoT big data applications, it is important to understand how these applications and the corresponding big data processing systems will perform in cloud computing environments. However, given the scalability and complex requirements of big data processing systems, an empirical evaluation on actual cloud infrastructure can hinder the development of timely and cost effective IoT solutions. Therefore, a simulator supporting IoT applications in cloud environment is highly demanded, but such work is still in its infancy. To fill this gap, we have designed and implemented IOTSim which supports and enables simulation of IoT big data processing using MapReduce model in cloud computing environment. A real case study validates the efficacy of the simulator.

    Original languageEnglish
    Pages (from-to)93-107
    Number of pages15
    JournalJournal of Systems Architecture
    Volume72
    DOIs
    Publication statusPublished - 1 Jan 2017

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