کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4956293 1444449 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
IOTSim: A simulator for analysing IoT applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
IOTSim: A simulator for analysing IoT applications
چکیده انگلیسی


- IOTSim largely extended Cloudsim's functionality to support for modelling and simulation of multiple IoT applications running simultaneously in a shared cloud data centres.
- IOTSim is capable of simulating batch-oriented IoT applications by using MapReduce model with a high degree of accuracy.
- IOTSim provides better perspective to analyse IoT-based applications using MapReduce model in Cloud Computing environment with less cost and time.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Architecture - Volume 72, January 2017, Pages 93-107
نویسندگان
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