Proceedings Article10.1109/ICACCS51430.2021.9442046
An Efficient Approach Towards Surrogate Node Selection For Container Migration In Fog Computing
V.R. Azhaguramyaa,J. Janet,V. Tharuneshwar,S. SriRam,T. Siva Kumar +4 more
- 19 Mar 2021
TL;DR: In this article, the authors aim at reducing the latency of data transfer and processing using fog nodes containerized with Docker and in terms of effectiveness while dealing with accidental failures or blackouts of a fog node the data processing being done on a node will automatically subsist on another fog node using dynamic deployment of containers.
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Abstract: With the trending and growing field, the cloud and the Internet of Things (IoT) an interconnection of physical devices and the on demand availability of computer resources especially data storage, there arises a need for efficient way to process, analyze and compute the data from the end devices which can be done through fog computing. With increasing needs for more efficient and effective data processing in fog nodes, in terms of efficiency this project aims at reducing the latency of data transfer and processing using fog nodes containerized with Docker and in terms of effectiveness while dealing with accidental failures or blackouts of a fog node the data processing being done on a node will automatically subsist on another fog node using dynamic deployment of containers.
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References
•Journal Article
Docker: lightweight Linux containers for consistent development and deployment
TL;DR: Docker promises the ability to package applications and their dependencies into lightweight containers that move easily between different distros, start up quickly and are isolated from each other.
3.4K
Fog Computing: A Platform for Internet of Things and Analytics
Flavio Bonomi,Rodolfo A. Milito,Preethi Natarajan,Jiang Zhu +3 more
- 01 Jan 2014
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.
1.3K
Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment
Hani Sami,Azzam Mourad +1 more
TL;DR: This approach overcomes the current limitations by providing available fog devices with the ability to have services deployed on the fly, and leverages intelligent container placement scheme that produces efficient volunteers’ selection and distribution of services.
96
Live Migration of Docker Containers through Logging and Replay
Chenying Yu,Fei Huan +1 more
- 30 Oct 2015
A Distributed Fog Computing Architecture Supporting Multiple Migrating Mode
Qimin Jin,Rongheng Lin,Hua Zou,Fangchun Yang +3 more
- 22 Jun 2018
TL;DR: A distributed fog computing architecture that supports multiple migrating mode, which include center-edge, edge-edge migrating and a scalable distributed computing node model in Edge Network is proposed.
18