The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
IOTSim: A simulator for analysing IoT applications
Open accessAbstract
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.
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Cites
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861
Self-citationWu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
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Internet of Things applications: A systematic review
Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2019) · Computer Networks · doi:10.1016/j.comnet.2018.12.008 · Cited by 589
The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey
Tariq, N., Asim, M., Al-Obeidat, F., Zubair Farooqi, M., Baker, T., Hammoudeh, M., & Ghafir, I. (2019) · Sensors · doi:10.3390/s19081788 · Cited by 268
Artificial Intelligence-based Internet of Things for Industry 5.0
Chander, B., Pal, S., De, D., & Buyya, R. (2022) · Internet of Things · doi:10.1007/978-3-030-87059-1_1 · Cited by 160
Sengupta, A., Gill, S. S., Das, A., & De, D. (2021) · Mobile Edge Computing · doi:10.1007/978-3-030-69893-5_17 · Cited by 22
Metadata
- Authors
- Zeng, X., Garg, S. K., Strazdins, P., Jayaraman, P. P., Georgakopoulos, D., & Ranjan, R.
- Venue
- Journal of Systems Architecture
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 72
- Pages
- 93-107
- ISSN
- 1383-7621 (ISSN-L)
- OpenAlex
- W2462955848
- Cited by
- 215
- References
- 2
- FWCI
- 44.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Zeng, X., Garg, S. K., Strazdins, P., Jayaraman, P. P., Georgakopoulos, D., & Ranjan, R. (2017). IOTSim: A simulator for analysing IoT applications. Journal of Systems Architecture. https://doi.org/10.1016/j.sysarc.2016.06.008
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