Energy Management-as-a-Service Over Fog Computing Platform

By Mohammad Abdullah Al Faruque, Korosh Vatanparvar. IEEE Internet of Things Journal, 2015

305 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/455c39fa81a4e6d03d67c6965985b872ea4133da

How researchers see this paper

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

In Control and Systems Engineering

1. Rongxing Lu
2. Zheng Yan
3. Xuemin Shen
4. Xiaodong Lin
5. Trond Kvamsdal
6. Kuan Zhang
7. Omer San
8. Jianbing Ni

In Electrical and Electronic Engineering

1. Rongxing Lu
2. Xiaodong Lin
3. Xuemin Shen
4. Kuan Zhang
5. Jianbing Ni
6. Zheng Yan
7. Rajkumar Buyya
8. Trond Kvamsdal

Citations in the corpus

• Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, methodology): “With the proposed architectures and frameworks, the applications of fog computing have been explored to support various IoT systems and services, including augmented reality [16], pervasive health monitoring [40], energy management [41] and website categories [42].”
• Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “[34]) can also be given higher priority while forming cluster among the nodes.”
• From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “[45] K. Vatanparvar and M. A. Al Faruque, ‘‘Demo abstract: Energy management as a service over fog computing platform,’’ in Proc.”
• A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “Al-Faruque and Vatanparvar [79] deal with another application domain.”
• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, methodology): “We refer to [464] for the energy management and scalability of IoT systems using fog computing.”
• The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “eration in a variety of mapping and resource allocation techniques [71, 72, 52], with some work focusing on resource management for specific applications or services [73, 74, 75, 76].”