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.
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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.
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Citations
Building Connected Car Applications on Top of the World-Wide Streams Platform: Demo
Wolfgang Van Raemdonck,Tom Van Cutsem,Kyumars Sheykh Esmaili,Mauricio Cortes,Philippe Dobbelaere,Lode Hoste,Eline Philips,Marc Roelands,Lieven Trappeniers +8 more
- 08 Jun 2017
TL;DR: World-Wide Streams is built, a novel stream processing platform that has been explicitly designed with connected car requirements in mind and will show a number of connected car scenarios that are built on top of WWS.
4
Optimization Using Swarm Intelligence and Dynamic Graph Partitioning in IoE Infrastructure: Fog Computing and Cloud Computing
Subhrapratim Nath,Arnab Seal,Titir Banerjee,Subir Kumar Sarkar +3 more
- 24 Mar 2017
TL;DR: This paper aims to resolve some of the issues so faced by the IoE paradigm, with the help of meta-heuristics and to incorporate proper swarm intelligence based routing algorithms to optimize connection issues such as real time delay, network congestion.
4
Taxonomy and Resource Modeling in Combined Fog-to-Cloud Systems
Souvik Sengupta,Jordi Garcia,Xavi Masip-Bruin +2 more
- 15 Nov 2018
TL;DR: A model to classify and taxonomies the whole set of resources aimed to best suit the Fog-to-Cloud (F2C) paradigm is offered.
4
Towards an IoT Platform with Edge Intelligence Capabilities
Vladimir Florian,Gabriel Neagu +1 more
TL;DR: The adopted approach combines features and functionalities of both content-based and topic-based publish/subscribe models, with the aim to promote Edge Analytics principles by moving computation closer to where data resides and providing required performance for data-in-motion analysis.
Distributed IoT Analytics across Edge, Fog and Cloud
Mohammad Khalid Pandit,Roohie Naaz,Mohammad Ahsan Chishti +2 more
- 01 Nov 2018
TL;DR: An optimization problem for distributing the deep neural network model across different compute hierarchies such that the communication between the compute hierarchIES is minimized is defined.
4
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.
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