Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges
This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T) system comprising cloud computing, fog computing, and the Internet‐of‐Things (IoT). It describes the methodolo...
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| Vydáno v: | Fog and Edge Computing s. 51 - 78 |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Kapitola |
| Jazyk: | angličtina |
| Vydáno: |
United States
Wiley
2019
John Wiley & Sons, Incorporated John Wiley & Sons, Inc |
| Vydání: | 1 |
| Edice: | Wiley Series on Parallel and Distributed Computing |
| Témata: | |
| ISBN: | 9781119524984, 1119524989 |
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| Abstract | This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T) system comprising cloud computing, fog computing, and the Internet‐of‐Things (IoT). It describes the methodology adopted to guide the literature review and provides a descriptive analysis of the final works selected for use in the chapter. The chapter presents an analysis of existing system modeling techniques used in cloud computing, fog computing, and IoT research against four categories, such as analytical models, Petri Net models, integer linear programming, and other approaches. It discusses the main scenarios modeled in extant research and the metrics used in evaluation. The chapter concludes with a discussion on research challenges and future directions for research. Future research may address the use of gateways to distribute/balance requests to be processed in the cloud infrastructure or by fog devices. |
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| AbstractList | This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T) system comprising cloud computing, fog computing, and the Internet‐of‐Things (IoT). It describes the methodology adopted to guide the literature review and provides a descriptive analysis of the final works selected for use in the chapter. The chapter presents an analysis of existing system modeling techniques used in cloud computing, fog computing, and IoT research against four categories, such as analytical models, Petri Net models, integer linear programming, and other approaches. It discusses the main scenarios modeled in extant research and the metrics used in evaluation. The chapter concludes with a discussion on research challenges and future directions for research. Future research may address the use of gateways to distribute/balance requests to be processed in the cloud infrastructure or by fog devices. This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T) system comprising cloud computing, fog computing, and the Internet‐of‐Things (IoT). It describes the methodology adopted to guide the literature review and provides a descriptive analysis of the final works selected for use in the chapter. The chapter presents an analysis of existing system modeling techniques used in cloud computing, fog computing, and IoT research against four categories, such as analytical models, Petri Net models, integer linear programming, and other approaches. It discusses the main scenarios modeled in extant research and the metrics used in evaluation. The chapter concludes with a discussion on research challenges and future directions for research. Future research may address the use of gateways to distribute/balance requests to be processed in the cloud infrastructure or by fog devices. |
| Author | Ferreira, Matheus Santos, Guto Leoni Sadok, Djamel Kelner, Judith Lynn, Theo Endo, Patricia Takako Albuquerque, Edison Ferreira, Leylane |
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| Keywords | Cloud computing Analytical models Computational modeling IEEE Sections Systems modeling Internet of Things Edge computing |
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| References_xml | – year: 2018 ident: c3-cit-0001 article-title: TOP 10 PREDICTIONS. 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University of Newcastle Upon Tyne – volume: 35 start-page: 203 year: 2014 end-page: 212 ident: c3-cit-0013 article-title: A fault fuzzy‐ontology for large scale fault‐tolerant wireless sensor networks publication-title: Procedia Computer Science – year: 2017 ident: c3-cit-0031 article-title: Leveraging Renewable Energy in Edge Clouds for Data Stream Analysis in IoT publication-title: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing – volume: 83 start-page: 11 year: 2016 end-page: 17 ident: c3-cit-0024 article-title: Event prediction in an IoT Environment using Naïve Bayesian models publication-title: Procedia Computer Science – year: 2016 ident: c3-cit-0017 article-title: Query processing for the Internet‐of‐Things: Coupling of device energy consumption and cloud infrastructure billing – year: 2016 ident: c3-cit-0021 article-title: An IoT‐based system for collision detection on guardrails – year: 2000 ident: c3-cit-0033 article-title: Introduction to Analytical Modeling publication-title: Int. CMG Conference – year: 2015 ident: c3-cit-0016 article-title: Reliability modelling of service‐oriented Internet of Things – volume: 70 start-page: 104 year: 2017 end-page: 125 ident: c3-cit-0018 article-title: System modelling and performance evaluation of a three‐tier cloud of things publication-title: Future Generation Computer Systems – year: 2002 ident: c3-cit-0034 article-title: Stochastic Petri Nets – year: 2010 ident: c3-cit-0037 article-title: Bayesian Model Selection and Statistical Modeling – year: 2018 ident: c3-cit-0003 article-title: Embracing the Internet of Everything to Capture Your Share of $4.4 Trillion – year: 2015 ident: c3-cit-0014 article-title: Virtualization framework for energy efficient IoT networks – year: 2017 ident: c3-cit-0030 article-title: A Novel Distributed Latency‐Aware Data Processing in Fog Computing‐Enabled IoT Networks – volume: 19 start-page: 501 issue: 3 year: 2014 end-page: 557 ident: c3-cit-0008 article-title: Replication of empirical studies in software engineering research: a systematic mapping study publication-title: Empirical Software Engineering – year: 2016 ident: c3-cit-0023 article-title: Towards Distributed Service Allocation in Fog‐to‐Cloud (F2C) Scenarios – year: 2012 ident: c3-cit-0035 article-title: Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management – volume: 76 start-page: 550 year: 2017 end-page: 560 ident: c3-cit-0022 article-title: Deviation‐based neighborhood model for context‐aware QoS prediction of cloud and IoT services publication-title: Future Generation Computer Systems – volume: 129 start-page: 399 year: 2017 end-page: 409 ident: c3-cit-0032 article-title: Incentive mechanism for computation offloading using edge computing: a Stackelberg game approach publication-title: Computer Networks – year: 2016 ident: c3-cit-0019 article-title: A location‐based interactive model for Internet of Things and cloud (IoT‐cloud) – volume: 800 issue: 191 year: 2017 ident: c3-cit-0006 article-title: The NIST definition of fog computing – draft – year: 2014 ident: c3-cit-0004 article-title: Fog computing: A platform for Internet of Things and analytics publication-title: Big Data and Internet of Things: A Roadmap for Smart Environments – volume: 40 start-page: 692 year: 2017 end-page: 707 ident: c3-cit-0029 article-title: Wearable IoT data stream traceability in a distributed health information system publication-title: Pervasive and Mobile Computing – year: 2017 ident: c3-cit-0007 article-title: Reliable capacity provisioning for distributed cloud/edge/fog computing applications – volume: 56 start-page: 684 year: 2016 end-page: 700 ident: c3-cit-0005 article-title: Integration of cloud computing and internet of things: A survey publication-title: Future Generation Computer Systems – year: 2016 ident: c3-cit-0025 article-title: Interconnecting fog computing and microgrids for greening IoT – year: 2017 ident: c3-cit-0028 article-title: Application‐aware resource provisioning in a heterogeneous Internet of Things |
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| Snippet | This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T)... This chapter reviews the literature with regarding to the use of modeling techniques to represent and evaluate an integrated cloud‐to‐thing (C2T) system... |
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| SubjectTerms | analytical models cloud computing cloud‐to‐thing system fog computing integer linear programming Internet‐of‐Things Petri Net models research challenges |
| Title | Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges |
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