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Fog-computing architecture: survey and challenges


Naha, RK and Garg, S and Chan, A, Fog-computing architecture: survey and challenges, Big Data-Enabled Internet of Things, Institution of Engineering and Technology (IET) Digital Library, MUS Khan, SU Khan, & AY Zomaya (ed), United Kingdom, pp. 199-224. ISBN 9781785616365 (2019) [Research Book Chapter]

DOI: doi:10.1049/PBPC025E_ch10


Emerging technologies that generate a huge amount of data such as the Internet of Things (IoT) services need latency-aware computing platforms to support time critical applications. Due to the on-demand services and scalability features of cloud computing, Big Data application processing is done in the cloud infrastructure. Managing Big Data applications exclusively in the cloud is not an efficient solution for latency -sensitive applications related to smart transportation systems, healthcare solutions, emergency response systems and content delivery applications. Thus, the fog -computing paradigm that allows applications to perform computing operations in-between the cloud and the end devices has emerged. In fog architecture, IoT devices and sensors are connected to the fog devices which are located in close proximity to the users, and it is also responsible for intermediate computation and storage. Most computations will be done on the edge by eliminating full dependencies on the cloud resources. In this chapter, we investigate and survey fog-computing architecture which have been proposed over the past few years. Moreover, we study the requirements of IoT applications and platforms, and the limitations faced by cloud systems when executing IoT applications. Finally, we review current research works that particularly focus on Big Data application execution on fog and address several open challenges as well as future-research directions.

Item Details

Item Type:Research Book Chapter
Keywords:fog computing, IoT, big data
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Computer systems
UTAS Author:Naha, RK (Mr Ranesh Kumar Naha)
UTAS Author:Garg, S (Dr Saurabh Garg)
UTAS Author:Chan, A (Professor Andrew Chan)
ID Code:143273
Year Published:2019
Deposited By:Information and Communication Technology
Deposited On:2021-03-10
Last Modified:2021-03-10

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