Theoretical modelling of fog computing: a green computing paradigm to support IoT applications

By Subhadeep Sarkar, Sudip Misra. IET Networks, 2016

314 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Media Technology

View Paper: https://www.semanticscholar.org/paper/59d0e9637338756db9cf6e2c969ca9ae65166135

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rajkumar Buyya
2. R. Ranjan
3. Frederic Desprez
4. Farah Ait Salaht
5. Adrien Lebre
6. Xiaodong Lin
7. Xuemin Shen
8. Saurabh Kumar Garg

In Information Systems

1. Rajkumar Buyya
2. R. Ranjan
3. Dusist Niyato
4. Zehui Xiong
5. Frederic Desprez
6. Farah Ait Salaht
7. Adrien Lebre
8. Jiawen Kang

In Media Technology

1. Jiawen Kang
2. Qiang Yang
3. Chunyan Miao
4. Dusist Niyato
5. Lei Shu
6. Antonio Brogi
7. Di Wang
8. Stefano Forti

Citations in the corpus

• Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “Sarkar and Misra (2016) proved that the service latency for a system associated with fog computing was significantly lower than that with cloud computing by theoretical modeling of the fog computing architecture.”
• Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “gested network, high latency in service delivery, poor Quality of Service (QoS) are experienced [2].”
• Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Sarkar and Misra [17] introduced the theoreti-”
• A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures (2019, background): “The authors of [122] have considered the fog computing architecture theoretically and mathematically while comparing the performance of fog computing paradigm with traditional cloud computing framework based on service latency and energy consumption.”
• Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, methodology): “From our review, we found that researchers have proposed three [27], [56]–[58], four [55], five [4], and six [54] layers in the Fog architecture.”
• An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “Sarkar and Misra [33] proved by theoretical modeling that the service latency in FC is significantly lower than that with Cloud Computing.”
• A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, result): “The authors in [165] show theoretically that fog computing results in a lower latency as compared to traditional cloud computing.”
• A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “[105], [106] consider in particular the performance of the fog systems in the context of IoT.”
• Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, methodology): “As fog computing serves as a virtual layer between traditional cloud computing and edge devices [98], [165], how to decide which data should go to the cloud or be processed in fog layer is one of the basic challenges.”
• All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “The authors in [72] focused on the theoretical modeling and performance metrics of the fog computing architecture.”
• QoS-Aware Deployment of IoT Applications Through the Fog (2017, methodology): “Sarkar and Misra [14] aimed at evaluating service latency and energy consumption of the new Fog paradigm applied to the IoT, as compared to traditional Cloud scenarios.”