Book Chapter10.1007/978-3-319-05029-4_7
Fog Computing: A Platform for Internet of Things and Analytics
Flavio Bonomi,Rodolfo A. Milito,Preethi Natarajan,Jiang Zhu +3 more
- 01 Jan 2014
- pp 169-186
1.2K
TL;DR: This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
read more
Abstract: Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disruptions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Research on Selective Combination of Distributed Machine Learning Models
TL;DR: The proposed method enables more efficient combinations of fog models with fewer models than previous research, and users are able to adaptively select fog models to improve overall performance or to prioritize the performance of specific features by selecting the target models.
1
Fog Computing in IoT: Architecture and Applications
Anurag Vijay Agrawal,Shashi Shashi,A. GowriDurga A. GowriDurga,Suresh Balakrishnan T,A. A. Shaikh,V Kalaipriya +5 more
- 04 Apr 2024
1
•Dissertation
On Service Optimization in Community Network Micro-Clouds
Nuno Miguel Silvestre Apolónia
- 21 Sep 2018
TL;DR: Internet coverage in the world is still weak and local communities are required to come together and build their own network infrastructures.
Distributed Intelligence Platform to the Edge Computing
Ke Zhou
- 01 Apr 2022
TL;DR: In this article , the main differences between edge, fog, and cloud computing; pros and cons; and various applications, namely, smart cars and traffic control in transportation scenario, visual and surveillance security, connected vehicle, and smart ID card.
1
Preparatory Reflections on Safe Context-adaptive Software (Position Paper).
Dominik Grzelak,Uwe Aßmann +1 more
- 01 Jan 2020
TL;DR: This work examines the promising context-aware computing and model-driven development paradigms that have directed the development of fog computing and IoT platforms alike and aggregate viable requirements for computational context models to be employed both for computation and also reasoning about the correctness of applications.
1
References
Fog computing and its role in the internet of things
Flavio Bonomi,Rodolfo A. Milito,Jiang Zhu,Sateesh Addepalli +3 more
- 17 Aug 2012
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
•Proceedings Article
American Control Conference
David Wang,Guo Ben Yang,Max Donath +2 more
- 01 Jan 1993
1.6K
A tutorial on the dynamics and control of wind turbines and wind farms
Lucy Y. Pao,Kathryn Johnson +1 more
- 10 Jun 2009
TL;DR: The basic structure of wind turbines is reviewed and wind turbine control systems and control loops are described, of great interest are the generator torque and blade pitch control systems, where significant performance improvements are achievable with more advanced systems and Control research.
Wind Power Forecasting and Electricity Market Operations
Audun Botterud,Vladimiro Miranda,Jianhui Wang,Claudio Monteiro +3 more
- 01 Jan 2009
TL;DR: In this paper, a brief overview of wind power forecasting models and how they are used in power system and electricity market operations is given, focusing on the organized electricity markets in the United States, where several independent system operators (ISOs/RTOs) have recently introduced wind-power forecasting systems as part of their operations.
Context-Aware Environments for the Internet of Things
Valentin Cristea,Ciprian Dobre,Florin Pop +2 more
- 01 Jan 2013
TL;DR: This chapter discusses the challenges, state of the art, and future trends in context aware environments (infrastructure and services) for the Internet of Things, which is defined as a world-wide network of uniquely identified selforganized and intelligent things.
42