
- Luigi Atzori, Antonio Iera, and Giacomo Morabito. 2010. The internet of things: A survey. Comput. Netw. 54, 15 (2010), 2787--2805. Google Scholar
Digital Library
- Xia Feng et al. 2012. Internet of things. Int. J. Commun. Syst. 25, 9 (2012), 1101--1102. Google Scholar
Digital Library
- Jasenka Dizdarević, Francisco Carpio, Admela Jukan, and Xavi Masip-Bruin. 2019. A survey of communication protocols for internet of things and related challenges of fog and cloud computing integration. ACM Comput. Surv. 51, 6, Article 116 (January 2019), 29 pages. Google Scholar
Digital Library
- Anna Kobusińska, Carson Leung, Ching-Hsien Hsu, Raghavendra S., and Victor Chang. 2018. Emerging trends, issues and challenges in internet of things, Big Data and cloud computing. Future Generation Computer Systems 87 (2018), 416--419.Google Scholar
Digital Library
- Borja Bordel, Ramón Alcarria, Tomás Robles, and Diego Martín. 2017. Cyber--physical systems: Extending pervasive sensing from control theory to the internet of things. Pervasive and Mobile Computing 40 (2017), 156--184. Google Scholar
Digital Library
- Amir Vahid Dastjerdi and Rajkumar Buyya. 2016. Fog computing: Helping the Internet of Things realize its potential. Computer 49, 8 (2016), 112--116. Google Scholar
Digital Library
- Weisong Shi et al. 2016. Edge computing: Vision and challenges. IEEE Iof T J. 3, 5 (2016), 637--646.Google Scholar
- Carlo Puliafito, Enzo Mingozzi, Francesco Longo, Antonio Puliafito, and Omer Rana. 2019. Fog computing for the internet of things: A Survey. ACM Trans. Internet Technol. 19, 2 (2019), 18:1--18:41. Google Scholar
Digital Library
- Madhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta. 2019. Contextaide: End to end architecture for mobile crowd sensing applications. ACM Trans. Internet Technol. 19, 2 (2019), 19:1--19:23. Google Scholar
Digital Library
- Federico Concone, Giuseppe Lo Re, and Marco Morana. 2019. A fog-based application for human activity recognition using personal smart devices. ACM Trans. Internet Technol. 19, 2 (2019), 20:1--20:20. Google Scholar
Digital Library
- He Li, Kaoru Ota, and Mianxiong Dong. 2019. Deep reinforcement scheduling for mobile crowdsensing in fog computing. ACM Trans. Internet Technol. 19, 2 (2019), 21:1--21:18. Google Scholar
Digital Library
- Farzad Samie, Vasileios Tsoutsouras, Lars Bauer, Sotirios Xydis, Dimitrios Soudris, and Jörg Henkel. 2019. Oops: Optimizing operation-mode selection for IoT edge devices. ACM Trans. Internet Technol. 19, 2 (2019), 22:1--22:21. Google Scholar
Digital Library
- Marios Avgeris, Dimitrios Dechouniotis, Nikolaos Athanasopoulos, and Symeon Papavassiliou. 2019. Adaptive resource allocation for computation offloading: A control-theoretic approach. ACM Trans. Internet Technol. 19, 2 (2019), 23:1--23:20. Google Scholar
Digital Library
- Houssemeddine Mazouzi, Nadjib Achir, and Khaled Boussetta. 2019. Dm2-ecop: An efficient computation offloading policy for multi-user multi-cloudlet mobile edge computing environment. ACM Trans. Internet Technol. 19, 2 (2019), 24:1--24:24. Google Scholar
Digital Library
- Danilo Reis de Vasconcelos, Rossana Maria de Castro Andrade, Valdenir de Sousa Severino, and José Neuman de Sousa. 2019. Cloud, fog or mist in IoT, that is the question. ACM Trans. Internet Technol. 19, 2 (2019), 25:1--25:20. Google Scholar
Digital Library
- Jun Feng, Laurence T. Yang, and Ronghao Zhang. 2019. Practical privacy-preserving high-order Bi-lanczos in integrated edge-fog-cloud architecture for cyber-physical-social systems. ACM Trans. Internet Technol. 19, 2 (2019), 26:1--26:18. Google Scholar
Digital Library
- Luca Ferretti, Mirco Marchetti, and Michele Colajanni. 2019. Fog-based secure communications for low power IoT devices. ACM Trans. Internet Technol. 19, 2 (2019), 27:1--27:21. Google Scholar
Digital Library
- Giovanni Merlino, Rustem Dautov, Salvatore Distefano, and Dario Bruneo. 2019. Enabling workload engineering in edge, fog and cloud computing through openstack-based middleware. ACM Trans. Internet Technol. 19, 2 (2019), 28:1--28:22. Google Scholar
Digital Library
- Luciano Baresi, Danilo Mendonça, Martin Garriga, Sam Guinea, and Giovanni Quattrocchi. 2019. A unified model for the mobile-edge-cloud continuum. ACM Trans. Internet Technol. 19, 2 (2019), 29:1--29:21. Google Scholar
Digital Library
- Min Chen, Wei Li, Giancarlo Fortino, Yixue Hao, Long Hu, and Iztok Humar. 2019. A dynamic service-migration mechanism in edge cognitive computing. ACM Trans. Internet Technol. 19, 2 (2019), 30:1--30:15. Google Scholar
Digital Library
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