Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

By Ju Ren, Hui Guo, Chugui Xu, Yaoxue Zhang. IEEE Network, 2017

366 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/7c1286118127574d54d58637deedfb37899e8da7

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. Madhusanka Liyanage
2. Pawani Porambage
3. Mika E. Ylianttila
4. Kaoru Ota
5. Mianxiong Dong
6. Xiaojiang Du
7. Mohammed Ali Al-Garadi
8. A. Al-Ali

In Hardware and Architecture

1. Shengli Xie
2. Mohsen Guizani

In Information Systems

1. Mohammed Ali Al-Garadi
2. A. Al-Ali
3. Amr M. Mohamed
4. Xiaojiang Du
5. Kaoru Ota
6. Madhusanka Liyanage
7. Mohsen Guizani
8. Gongjie Meng

Citations in the corpus

• IoT and Cloud Computing Issues, Challenges and Opportunities: A Review (2021, methodology): “For easier processing, this knowledge may be processed in the Cloud [21].”
• A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “Edge computing immigrates service provision from the cloud to the network edge, which holds a potential solution in the IoT era [198], [288].”
• A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms (2019, background): “Ren et al. [123] propose a scalable TC-based IoT architecture, as shown in Figure 2, to provision flexible and timely services at the edge of the network.”
• Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “[103] Studies an implementation of edge computing, which exploits transparent computing to build scalable IoT platforms using transparent computing.”
• Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (2018, background): “Edge computing is another important technology for IoT services [5] [6] [7].”
• All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “The paper [179] examines the question of how to leverage transparent computing to build scalable IoT platforms and proposes a tailored, transparent computing architecture for IoT applications.”
• Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities (2019, methodology): “To deal with this challenge, edge computing (EC) is used as another important technology for IoT-based energy management systems [7].”
• An Overview on Edge Computing Research (2020, background): “Edge computing architecture is a federated network structure that extends cloud services to the edge of the network by introducing edge devices between terminal devices and cloud computing [27], [28].”