iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
Georgia Institute of Technology · The University of Melbourne · +2 more institutions
Abstract
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…
Citation impact
- FWCI
- 127.54
- Percentile
- 100%
- References
- 21
Authors
4- HGHarshit GuptaCorresponding
Georgia Institute of Technology, The University of Melbourne, Cloud Computing Center
- AVAmir Vahid Dastjerdi
The University of Melbourne, Cloud Computing Center
- SKSoumya K. Ghosh
Indian Institute of Technology Kharagpur
- RBRajkumar Buyya
The University of Melbourne, Cloud Computing Center
Topics & keywords
- Computer science
- Cloud computing
- Scalability
- Analytics
- Edge computing
- Edge device
- Distributed computing
- Enhanced Data Rates for GSM Evolution