Tackling IoT ultra large scale systems: Fog computing in support of hierarchical emergent behaviors

Fog Computing in the Internet of Things: Intelligence at the Edge

Volumn , Issue , 2017, Pages 33-48

  Roca, Damian ^a   Milito, Rodolfo ^b   Nemirovsky, Mario ^c   Valero, Mateo ^a  

^a BARCELONA SUPERCOMPUTING CENTER   (Spain)

^b CISCO SYSTEMS   (United States)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; INTERNET OF THINGS; LARGE SCALE SYSTEMS;

EMERGENT BEHAVIORS; ULTRA LARGE SCALE SYSTEMS;

FOG COMPUTING;

EID: 85033344132     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-57639-8_3     Document Type: Chapter

References (23)

1. L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 2787 (2010)
2. R. Milito, short video in the September 2016 issue of computing now. [Online]. Available: https://www.computer.org/web/computingnow/archive/iot-data-and-context-discoveryseptember-2016
3. G.D. Abowd, A.K. Dey, P.J. Brown, N. Davies, M. Smith, P. Steggles, Towards a better understanding of context and context-awareness, in International Symposium on Handheld and Ubiquitous Computing (Springer, Berlin, 1999), pp. 304-307
4. L. Northrop, P. Feiler, R.P. Gabriel, J. Goodenough, R. Linger, T. Longstaff, R. Kazman, M. Klein, D. Schmidt, K. Sullivan et al., Ultra-large-scale systems: the software challenge of the future, DTIC Document, Technical report, 2006
5. G.P. Hancke, G.P. Hancke Jr et al., The role of advanced sensing in smart cities. Sensors 13(1), 393-425 (2012)
6. M. Gerla, E.-K. Lee, G. Pau, U. Lee, Internet of vehicles: from intelligent grid to autonomous cars and vehicular clouds, in 2014 IEEE World Forum on Internet of Things (IEEE, Piscataway, NJ, 2014)
7. K. Sasaki, N. Suzuki, S. Makido, A. Nakao, Vehicle control system coordinated between cloud and mobile edge computing, in 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) (IEEE, Piscataway, NJ, 2016), pp. 1122-1127
8. F. Bonomi, R. Milito, J. Zhu, S. Addepalli, Fog computing and its role in the internet of things, in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing (ACM, New York, 2012), pp. 13-16
9. S. Shin, S. Seo, S. Eom, J. Jung, K.-H. Lee, A pub/sub-based Fog computing architecture for internet-of-vehicles, in 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) (IEEE, Piscataway, NJ, 2016), pp. 90-93
10. D. Roca, D. Nemirovsky, M. Nemirovsky, R. Milito, M. Valero, Emergent behaviors in the internet of things: the ultimate ultra-large-scale system. IEEE Micro 36(6), 36-44 (2016)
11. H.A. Simon, The Architecture of Complexity (Springer, New York, 1991)
12. M.J. Mataric, Designing emergent behaviors: from local interactions to collective intelligence, in Proceedings of the Second International Conference on Simulation of Adaptive Behavior (1993), pp. 432-441
13. M. Yannuzzi, R. Milito, R. Serral-Gracià, D. Montero, M. Nemirovsky, Key ingredients in an IoT recipe: Fog computing, cloud computing, and more Fog computing, in IEEE 19th International Workshop on CAMAD (IEEE, Piscataway, NJ, 2014)
14. Open Fog Consortium. [Online]. Available: https://www.openfogconsortium.org/resources/
15. J.B. Kenney, Dedicated short-range communications (dsrc) standards in the united states, Proc. IEEE 99(7), 1162-1182 (2011)
16. C.W. Reynolds, Flocks, herds and schools: a distributed behavioral model, in ACMSIGGRAPH Computer Graphics (ACM, New York, 1987)
17. P. Varaiya, Smart cars on smart roads: problems of control. IEEE Trans. Autom. Control 38(2), 195-207 (1993)
18. J. Melo, A. Naftel, A. Bernardino, J. Santos-Victor, Detection and classification of highway lanes using vehicle motion trajectories, IEEE Trans. Intell. Transp. Syst. 7(2), 188-200 (2006)
19. Processing simulation framework. [Online]. Available: https://processing.org/
20. A. Hsu, F. Eskafi, S. Sachs, P. Varaiya, Design of platoon maneuver protocols for IVHS, in California Partners for Advanced Transit and Highways (PATH) (University of California, Berkeley, 1991)
21. Its vehicle to infrastructure resources. [Online]. Available: http://www.its.dot.gov/v2i/
22. R. Hall, C. Chin, Vehicle sorting for platoon formation: impacts on highway entry and throughput. Transp. Res. Part C: Emerg. Technol. 13(5), 405-420 (2005)
23. E. Frazzoli, M.A. Dahleh, E. Feron, Real-time motion planning for agile autonomous vehicles. J. Guid. Control Dyn. 25(1), 116-129 (2002)