Supporting Internet-of-Things Analytics in a Fog Computing Platform

Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom

Volumn 2017-December, Issue , 2017, Pages 138-145

  Hong, Hua Jun ^a   Tsai, Pei Hsuan ^a   Cheng, An Chieh ^a   Uddin, Md Yusuf Sarwar ^b   Venkatasubramanian, Nalini ^b   Hsu, Cheng Hsin ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b Irvine   (United States)

Author keywords

Analytics; Edge computing; Fog computing; Internet of Things

Indexed keywords

CLOUD COMPUTING; EDGE COMPUTING; FOG; INTERNET OF THINGS; OPTIMIZATION; POLYNOMIAL APPROXIMATION;

ANALYTICS; DEPLOYMENT PROBLEMS; EXTENSIVE SIMULATIONS; HETEROGENEOUS DEVICES; NETWORK CONGESTIONS; OPTIMAL DEPLOYMENT; OPTIMIZATION PROBLEMS; STATE-OF-THE-ART ALGORITHMS;

FOG COMPUTING;

EID: 85041473903     PISSN: 23302194     EISSN: 23302186     Source Type: Conference Proceeding    
DOI: 10.1109/CloudCom.2017.45     Document Type: Conference Paper

References (35)

1. Amazon Echo. http://tinyurl.com/j3calfj
2. BRITE. https://www.cs.bu.edu/brite/
3. Docker. https://www.docker.com
4. Google Home. https://madeby.google.com/home/
5. How fast is 4G? http://www.4g.co.uk/how-fast-is-4g/
6. IBM CPLEX optimizer. http://tinyurl.com/mnh8mlp
7. Internet of Things (IoT): number of connected devices worldwide from 2012 to 2020 (in billions). https://www.statista.com/statistics/471264/iot-number-ofconnected- devices-worldwide/
8. Kubernetes. http://kubernetes.io/
9. librosa. https://github.com/librosa/librosa
10. MQTT. http://mqtt.org
11. Opencv. http://opencv.org
12. Tensorflow. https://www.tensorflow.org
13. Wonder Shaper. http://lartc.org/wondershaper/
14. P. Bellavista and A. Zanni. Feasibility of fog computing deployment based on docker containerization over RaspberryPi. In Proc. of ACM Conference on Distributed Computing and Networking (ICDCN), Hyderabad, India, January 2017
15. K. Benson, C. Fracchia, G. Wang, Q. Zhu, S. Almomen, J. Cohn, L. Darcy, D. Hoffman, M. Makai, J. Stamatakis, and N. Venkatasubramanian. SCALE: Safe community awareness and alerting leveraging the internet of things. IEEE Communications Magazine, 53(12):27-34, 2015
16. F. Bonomi, R. Milito, J. Zhu, and S. Addepalli. Fog computing and its role in the internet of things. In Proc. of ACM SIGCOMM workshop on Mobile Cloud Computing (MCC), Helsinki, Finland, August 2012
17. V. Cardellini, V. Grassi, F. Lo, and M. Nardelli. Distributed QoS-aware scheduling in storm. In Proc. of ACM International Conference on Distributed Event-Based Systems (DEBS), Oslo, Norway, June 2015
18. V. Cardellini, V. Grassi, F. Presti, and M. Nardelli. Optimal operator placement for distributed stream processing applications. In Proc. of ACM International Conference on Distributed and Event-based Systems (DEBS), Irvine, CA, June 2016
19. R. Eidenbenz and T. Locher. Task allocation for distributed stream processing. In Proc. of IEEE INFOCOM, San Francisco, CA, April 2016
20. R. Friedman, A. Kogan, and Y. Krivolapov. On power and throughput tradeoffs of WiFi and Bluetooth in smartphones. IEEE Transactions on Mobile Computing, 12(2):1363-1375, 2013
21. K. Giang, M. Blackstock, R. Lea, and C. Leung. Developing IoT applications in the fog: A distributed dataflow approach. In Proc. of IEEE International Conference on Internet of Things (IoT), Seoul, South Korea, December 2015
22. M. Hirzel, R. Soule, S. Schneider, B. Gedik, and R. Grimm. A catalog of stream processing optimizations. ACM transactions on Computing Surveys, 46(4), 2014
23. H. Hong, J. Chuang, and C. Hsu. Animation rendering on multimedia fog computing platforms. In Proc. of IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Luxembourg, December 2016
24. Z. Khayyat, K. Awara, A. Alonazi, H. Jamjoom, D. Williams, and P. Kalnis. Mizan: a system for dynamic load balancing in large-scale graph processing. In Proc. of ACM European Conference on Computer Systems (EuroSys), Prague, Czech Republic, April 2013
25. G. Malewicz, H. Austern, J. Bik, C. Dehnert, I. Horn, N. Leiser, and G. Czajkowski. Pregel: a system for large-scale graph processing. In Proc. of ACM SIGMOD, Indianapolis, IN, June 2010
26. K. Mikhaylov, J. Petaejaejaervi, and T. Haenninen. Analysis of capacity and scalability of the LoRa low power wide area network technology. In Proc. of European Wireless Conference (EW), Oulu, Finland, May 2016
27. C. Pahl, S. Helmer, L. Miori, J. Sanin, and B. Lee. A container-based edge cloud paas architecture based on Raspberry Pi clusters. In Proc. of IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, Austria, August 2016
28. C. Pahl and B. Lee. Containers and clusters for edge cloud architectures-a technology review. In Proc. of IEEE International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Rome, Italy, August 2015
29. P. Pietzuch, J. Ledlie, J. Shneidman, M. Roussopoulos, M. Welsh, and M. Seltzer. Network-aware operator placement for stream-processing systems. In Proc. of IEEE International Conference on Data Engineering (ICDE), Atlanta, GA, April 2006
30. D. Pizzolli, G. Cossu, D. Santoro, L. Capra, C. Dupont, D. Charalampos, F. Pellegrini, F. Antonelli, and S. Cretti. Cloud4IoT: a heterogeneous, distributed and autonomic cloud platform for the IoT. In Proc. of IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Luxembourg, December 2016
31. S. Salihoglu and W. Jennifer. GPS: A graph processing system. In Proc. of ACM International Conference on Scientific and Statistical Database Management (SSDBM), Baltimore, MD, July 2013
32. E. Saurez, K. Hong, D. Lillethun, U. Ramachandran, and B. Ottenwalder. Incremental deployment and migration of geo-distributed situation awareness applications in the fog. In Proc. of ACM International Conference on Distributed and Event-based Systems (DEBS), Irvine, CA, June 2016
33. S. Shin, S. Seo, S. Eom, J. Jung, and H. Lee. A Pub/Sub-Based fog computing architecture for Internet-of-Vehicles. In Proc. of IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Luxembourg, December 2016
34. M. Uddin, A. Nelson, K. Benson, G. Wang, Q. Zhu, Q. Han, N. Alhassoun, P. Chakravarthi, J. Stamatakis, D. Hoffman, L. Darcy, and N. Venkatasubramanian. The scale2 multi-network architecture for iot-based resilient communities. In Proc. of IEEE International Conference on Smart Computing (SMARTCOMP), St. Louis, MO, USA, May 2016
35. D. Wu, I. Arkhipov, M. Kim, L. Talcott, C. Regan, A. McCann, and N. Venkatasubramanian. ADDSEN: adaptive data processing and dissemination for drone swarms in urban sensing. IEEE Transactions on Computers, 66(2):183-198, 2016