iFogSim: A toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments
Open accessAbstract
Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that can scale to IoT storage and processing requirements. However, there are applications such as health monitoring and emergency response that require low latency, and delay that is caused by transferring data to the cloud and then back to the application can seriously impact their performances. To overcome this limitation, Fog computing paradigm has been proposed, where cloud services are extended to the edge of the network to decrease the latency and network congestion. To realize the full potential of Fog and IoT paradigms for real‐time analytics, several challenges need to be addressed. The first and most critical problem is designing resource management techniques that determine which modules of analytics applications are pushed to each edge device to minimize the latency and maximize the throughput. To this end, we need an evaluation platform that enables the quantification of performance of resource management policies on an IoT or Fog computing infrastructure in a repeatable manner. In this paper we propose a simulator, called iFogSim , to model IoT and Fog environments and measure the impact of resource management techniques in latency, network congestion, energy consumption, and cost. We describe two case studies to demonstrate modeling of an IoT environment and comparison of resource management policies. Moreover, scalability of the simulation toolkit of RAM consumption and execution time is verified under different circumstances.
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- Authors
- Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R.
- Affiliations
- Georgia Institute of Technology (US)
- Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems The University of Melbourne Parkville VIC Australia
- Indian Institute of Technology Kharagpur (IN)
- The University of Melbourne (AU)
- Corresponding author
- Gupta, Harshit
- Venue
- Software: Practice and Experience
- Publisher
- Wiley
- Published
- 2017-06-21
- Volume
- 47
- Issue
- 9
- Pages
- 1275-1296
- ISSN
- 0038-0644 (ISSN-L)
- 1097-024X
- OpenAlex
- W2414114959
- Cited by
- 1,649
- References
- 21
- Citations by year
- 2026: 86 · 2025: 118 · 2024: 169 · 2023: 211 · 2022: 206 · 2021: 273 · 2020: 228 · 2019: 199 · 2018: 110 · 2017: 44 · 2016: 5
- FWCI
- 105.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Software Practice and Experience (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- University of Melbourne
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- iFogSim, Internet of Things, fog computing, edge computing, resource management, simulation toolkit, latency, network congestion, energy consumption, cost, real-time analytics
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