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An efficient resource monitoring service for fog computing environments


Battula, S and Garg, S and Montgomery, J and Kang, B, An efficient resource monitoring service for fog computing environments, IEEE Transactions on Services Computing, 13, (4) pp. 709-722. ISSN 1939-1374 (2020) [Refereed Article]

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DOI: doi:10.1109/TSC.2019.2962682


With the increasing number of Internet of Things (IoT) devices, the volume and variety of data being generated by these devices are increasing rapidly. Cloud computing cannot process this data due to its high latency and scalability. In order to process this data in less time, fog computing has evolved as an extension to Cloud computing. In a fog computing environment, a resource monitoring service plays a vital role in providing advanced services such as scheduling, scaling and migration. Most of the research in fog computing has assumed that a resource monitoring service is already available. Conventional methods proposed for other distributed systems may not be suitable due to the unique features of a fog environment. To improve the overall performance of fog computing and to optimise resource usage, effective resource monitoring techniques are required. Hence, we propose a Support and Confidence based (SCB) technique which optimises the resource usage in the resource monitoring service. The performance of our proposed system is evaluated by examining a real-time traffic use case in a fog emulator with synthetic data. The experimental results obtained from the fog emulator show that the proposed technique consumes 19% lesser resources compared with the existing technique.

Item Details

Item Type:Refereed Article
Keywords:fog computing, IoT, big data, resource monitoring, Internet of Things
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:Information systems, technologies and services not elsewhere classified
UTAS Author:Battula, S (Mr Sudheer Kumar Battula)
UTAS Author:Garg, S (Dr Saurabh Garg)
UTAS Author:Montgomery, J (Dr James Montgomery)
UTAS Author:Kang, B (Professor Byeong Kang)
ID Code:138493
Year Published:2020 (online first 2019)
Web of Science® Times Cited:14
Deposited By:Information and Communication Technology
Deposited On:2020-04-09
Last Modified:2022-07-06
Downloads:14 View Download Statistics

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