Fog Computing Model for Evolving Smart Transportation Applications
This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported over adoption of such data‐driven mobility models. It discusses which computer requirements can be best fulfilled through cloud...
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| Published in: | Fog and Edge Computing pp. 347 - 372 |
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| Main Authors: | , , |
| Format: | Book Chapter |
| Language: | English |
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United States
Wiley
2019
John Wiley & Sons, Incorporated John Wiley & Sons, Inc |
| Edition: | 1 |
| Series: | Wiley Series on Parallel and Distributed Computing |
| Subjects: | |
| ISBN: | 9781119524984, 1119524989 |
| Online Access: | Get full text |
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| Abstract | This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported over adoption of such data‐driven mobility models. It discusses which computer requirements can be best fulfilled through cloud computing and which require fog rollout. The chapter identifies the fog computing requirements of intelligent transportation systems (ITS) such as mission‐critical architectures. It assesses the state of cloud platforms to store and compute support for such applications and discusses the proper mix of both computational models to best meet the mission‐critical computing needs of smart transportation applications. The chapter presents a fog computing framework customized to support latency sensitive ITS applications. The fog orchestrating requirements in ITS domain are substantiated through an intelligent traffic lights management (ITLM) system case study. The chapter outlines the key big data issues, challenges, and future research opportunities, while developing a viable fog orchestrator for smart transportation applications. |
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| AbstractList | This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported over adoption of such data‐driven mobility models. It discusses which computer requirements can be best fulfilled through cloud computing and which require fog rollout. The chapter identifies the fog computing requirements of intelligent transportation systems (ITS) such as mission‐critical architectures. It assesses the state of cloud platforms to store and compute support for such applications and discusses the proper mix of both computational models to best meet the mission‐critical computing needs of smart transportation applications. The chapter presents a fog computing framework customized to support latency sensitive ITS applications. The fog orchestrating requirements in ITS domain are substantiated through an intelligent traffic lights management (ITLM) system case study. The chapter outlines the key big data issues, challenges, and future research opportunities, while developing a viable fog orchestrator for smart transportation applications. This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported over adoption of such data‐driven mobility models. It discusses which computer requirements can be best fulfilled through cloud computing and which require fog rollout. The chapter identifies the fog computing requirements of intelligent transportation systems (ITS) such as mission‐critical architectures. It assesses the state of cloud platforms to store and compute support for such applications and discusses the proper mix of both computational models to best meet the mission‐critical computing needs of smart transportation applications. The chapter presents a fog computing framework customized to support latency sensitive ITS applications. The fog orchestrating requirements in ITS domain are substantiated through an intelligent traffic lights management (ITLM) system case study. The chapter outlines the key big data issues, challenges, and future research opportunities, while developing a viable fog orchestrator for smart transportation applications. |
| Author | Alam, Mohammad Saad Sufyan Beg, M.M. Muzakkir Hussain, M. |
| Author_xml | – sequence: 1 givenname: M. surname: Muzakkir Hussain fullname: Muzakkir Hussain, M. – sequence: 2 givenname: Mohammad Saad surname: Alam fullname: Alam, Mohammad Saad – sequence: 3 givenname: M.M. surname: Sufyan Beg fullname: Sufyan Beg, M.M. |
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| Copyright | 2019 Wiley 2019 John Wiley & Sons, Inc. |
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| Editor | Buyya, Rajkumar Srirama, Satish Narayana |
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| Keywords | Cloud computing Smart transportation Computational modeling Mission critical systems Computer architecture Edge computing |
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| References | Park, Simeone, Shitz (c14-cit-0004) 2016; 15 Tubaishat, Zhuang, Qi, Shang (c14-cit-0023) 2009; 9 (c14-cit-0001) 2018 Giang, Leung, Lea (c14-cit-0010) 2016 Clanton, Bevly, Hodel (c14-cit-0032) 2009; 10 Kotb, Shen, Zhu, Huang (c14-cit-0018) 2016; 17 Sun, Bebis, Miller (c14-cit-0030) 2006; 28 Wen, Yang, Garraghan, Lin, Xu, Rovatsos (c14-cit-0009) 2017; 21 Byers, Wetterwald (c14-cit-0008) 2015 Hussain, Alam, Beg (c14-cit-0007) 2018; 2 Skarlat, Schulte, Borkowski (c14-cit-0003) 2016 Varghese, Wang, Barbhuiya, Kilpatrick, Nikolopoulos (c14-cit-0002) 2016 He, Yan, Da Xu, Member (c14-cit-0011) 2014; 10 Sussman (c14-cit-0013) 2005 Bitam (c14-cit-0012) Zhang, Xiao, Bu, Niyato, Yu, Han (c14-cit-0039) 2017 Atev, Miller, Papanikolopoulos (c14-cit-0029) 2010; 11 Gubbi, Buyya, Marusic, Palaniswami (c14-cit-0041) 2013; 29 Wu, Zhang, Bao, Regan (c14-cit-0022) 2013; 14 Hussain, Alam, Beg (c14-cit-0015) 2018; 2 Zhang, Wang, Wang, Lin, Xu, Chen (c14-cit-0016) 2011; 12 Okafor, Achumba, Chukwudebe, Ononiwu (c14-cit-0040) 2017 Wang, Zheng, Zhang, Wang, Shen (c14-cit-0020) 2016; 17 Gandhi, Trivedi (c14-cit-0014) 2006; 7 Scheme (c14-cit-0019) 2016 Perera, Qin, Estrella, Reiff‐marganiec, Vasilakos (c14-cit-0005) 2017; 50 Huang, Tan (c14-cit-0031) 2006; 7 Saqib, Hussain, Alam, Beg (c14-cit-0026) 2017; 2 Wang, Lien (c14-cit-0027) 2008; 9 Sohn, Hwang (c14-cit-0033) 2008; 9 Hussain, Khan, Alam, Beg (c14-cit-0034) 2018 Baccarelli, Vinueza Naranjo, Scarpiniti, Shojafar, Abawajy (c14-cit-0037) 2017; 5 Beloglazov, Buyya (c14-cit-0038) 2012; 24 Liu, Wang, Chen (c14-cit-0021) 2016; 17 c14-cit-0024 Bi, Tsimhoni, Liu (c14-cit-0028) 2009; 10 Hou, Li, Chen (c14-cit-0017) 2016; 65 Hussain, Alam, Beg, Malik (c14-cit-0025) 2018; 79 Pham, Tsai, Nguyen, Dow, Deng (c14-cit-0035) 2015; 3 Yu, Ieee, Xue, Ieee (c14-cit-0036) 2016; 24 Chiang, Zhang (c14-cit-0006) 2016; 3 |
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| Snippet | This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported... This chapter introduces the needs and prospects of adopting data‐drive transportation architectures and the landscape of smart applications supported over... |
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| StartPage | 347 |
| SubjectTerms | cloud computing cloud platforms data‐driven mobility models fog computing framework intelligent transportation systems ITLM system mission‐critical architectures smart transportation applications |
| Title | Fog Computing Model for Evolving Smart Transportation Applications |
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