Router: fog enabled cloud based intelligent resource management approach for smart home iot devices
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SDN provides real-time knowledge of available resources that is flexible and reliable.
“First, the SDN provides real-time knowledge of available resources that is flexible and reliable [55].”
From Edge AI: A survey (2023) · cites this paper as [55]
The Job Placement passage (page unavailable) says monitoring services provide the status of available cloud resources, and Section 5.1 says ROUTER tracks resource states at each point in time. These passages support timely knowledge of resource availability, but they do not attribute it to SDN or establish that it is flexible and reliable. (LLM, conf=0.82)
Experimental — accuracy not yet measuredOpen Edge Computing concluded that the aim should be the development of an open platform for edge computing aligned with the IT and telecommunications industries.
“In 2016, Open Edge Computing discussed gaps in the current raft of technologies and concluded that the aim should be the development of an open platform for Edge Computing aligned with the IT and telecommunications industries [55].”
From Edge AI: A survey (2023) · cites this paper as [55]
The Introduction (page unavailable) discusses extending cloud computing to the network edge, while Related Work (page unavailable) addresses fog-computing resource management. Neither those passages nor searches for Open Edge Computing, an open platform, and telecommunications-industry alignment address the attributed 2016 conclusion. (LLM, conf=0.75)
Experimental — accuracy not yet measuredThere are two main types of simulation packages: continuous simulation and discrete event simulation.
“There are two main types of simulation packages available: continuous simulation and discrete event simulation [55].”
From Edge AI: A survey (2023) · cites this paper as [55]
Section 4 (Performance Evaluation) describes using CloudSim’s event-simulation functions, but does not classify simulation packages into continuous and discrete-event types. Searches for the claimed two-type classification and its terms found no passage in our copy that addresses it; no page number is available for the passage. (LLM, conf=0.74)
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- [29]29. Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=124+, g-index=281, 80000+ citations). Microsoft Academic Search Index ranked Dr. Buyya as #1 author in the world (2005-2016) for both field rating and citations evaluations in the area of Distributed and Parallel Computing. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Recently, Dr. Buyya is recognized as a "Web of Science Highly Cited Researcher" in both 2016 and 2017 by Thomson Reuters, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to Cloud computing. He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Journal of Software: Practice and Experience, which was established over 45 years ago. For further information on Dr. Buyya, please visit his cyberhome: www.buyya.com
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- Authors
- Gill, S. S., Garraghan, P., & Buyya, R.
- Affiliations
- The University of Melbourne (AU)
- Lancaster University (GB)
- Corresponding author
- Gill, Sukhpal Singh
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 154
- Pages
- 125-138
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W2942094488
- Cited by
- 165
- References
- 35
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 23 · 2023: 27 · 2022: 27 · 2021: 41 · 2020: 24 · 2019: 7
- FWCI
- 13.55
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.lancs.ac.uk
- Locations
- Journal of Systems and Software (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/P031617/1)
- Australian Research Council (DP160102414)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- fog computing, resource management, home automation, Internet of Things, particle swarm optimization, multi-objective optimization, network bandwidth, latency, energy consumption, response time, cloud computing, smart home automation
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