Запис Детальніше

Fog computing and Big data in projects of class smart city

Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title Fog computing and Big data in projects of class smart city
 
Creator Duda, O.
Kunanets, N.
Matsiuk, O.
Pasichnyk, V.
Rzheuskyi, A.
 
Contributor Ternopil Ivan Puluj National Technical University
Lviv Polytechnic National University
 
Subject cloud technology
foggy computing
Big data
information technology platform
smart city
 
Description The possibilities of using the information
technology of foggy computing, which implements the
processes of selecting primary messages from sensory nodes and
their processing, and further transferring the results of primary
computing to server environments based on information
technology platforms of cloud type are analyzed in the article. It
is noted that both of the approaches – mist and cloud computing –
can be effectively used in a wide range of applications, in
particular those that are used in information and technology
complexes of “smart cities”. The system of parameters which
distinguishes a separate class of information technologies called
Big data is analyzed in the paper. The analysis made it possible
to fix 10 basic parameters of the so-called 10 v, with the help of
which a separate class of information technologies is allocated.
Big data technologies, along with the technologies of foggy and
cloud computing are elements of a powerful information
technology platform that allows us to solve a wide range of
problems for smart cities. The authors illustrated the systemtechnological
connections of these classes of information
technologies and analyzed the possibilities of their use in the
context of implementation of the information technology project
“Ternopil Smart city”.
 
Date 2019-06-18T12:03:46Z
2019-06-18T12:03:46Z
2018-06-18
2018-06-18
 
Type Article
 
Identifier Fog computing and Big data in projects of class smart city / O. Duda, N. Kunanets, O. Matsiuk, V. Pasichnyk, A. Rzheuskyi // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 7–12.
2084-5715
http://ena.lp.edu.ua:8080/handle/ntb/45132
Fog computing and Big data in projects of class smart city / O. Duda, N. Kunanets, O. Matsiuk, V. Pasichnyk, A. Rzheuskyi // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 7–12.
 
Language en
 
Relation Econtechmod, 3 (7), 2018
https://www.gartner.com/it-glossary/big-data
1. Gantz J., Reinsel D. 2012. The digital universe in2020: Big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the future 2007, 1–16.
2. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge, Fog for 5G and IoT.
3. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge”, Fog for 5G and IoT.
4. Chiang M. 2017. Clarifying Fog Computing and Networking: 10 Questions and Answers”, IEEE Commun. Mag, Vol. 55. No. 4, 18–20.
5. Zikopoulos P. 2013. Harness the power of big data: The IBM big data platform. New York, NY: McGraw-Hill
6. Berman J. J. 2013. Principles of big data: preparing, sharing, and analyzing complex information. Newnes.
7. Gartner IT Glossary > Big Data. Available online at:https://www.gartner.com/it-glossary/big-data.
8. Gantz J., Reinsel D. 2011. Extracting value from chaos.IDC iview 1142.2011, 1–12.
9. Aazam Mohammad, Sherali Zeadally, and Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5,46–52.
10. Aazam, Mohammad, Sherali Zeadally, Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5, 46–52.
11. Aazam, Mohammad, Sherali Zeadally, Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5, 46–52.
12. Manzalini A., Crespi N., 2016. An Edge Operating System Enabling Anything-as-a-Service, IEEE Commun. Mag., Vol. 54. No. 3, 62–67.
13. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge, Fog for 5G and IoT.
14. Chiang M. 2017. Clarifying Fog Computing and Networking: 10 Questions and Answers, IEEE Commun. Mag., Vol. 55. No. 4, 18–20.
15. Hong K. 2013. Mobile Fog: A Programming Model for Large-Scale Applications on the Internet of Things. Proc. 2nd ACM SIGCOMM Wksp. Mobile Cloud Computing, Aug. 2013, 15–20.
16. Hashem Ibrahim Abaker Targio. 2015. The rise of “big data” on cloud computing: Review and open research issues. Information Systems 47, 98–115.
17. Manyika J. 2011. Big data: The next frontier for innovation, competition, and productivity.
18. Demchenko Yu., Cees De Laat, Membrey P.2014. Defining architecture components of the Big Data Ecosystem. Collaboration Technologies and Systems (CTS), 2014 International Conference on. IEEE, 2014.
19. Ahn Jong Wook, Mi Sook Yi, Dong Bin Shin.2013. Study for spatial big data concept and system building. Journal of Korea Spatial Information Society 21.5, 43–51.
20. Demchenko Yu., Gruengard E., Sander Klous.2014. Instructional model for building effective Big Data curricula for online and campus education. Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on. IEEE, 2014.
21. Uddin Muhammad Fahim, Navarun Gupta. 2014. Seven V's of Big Data understanding Big Data to extract value. American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the. IEEE, 2014.
22. Saggi Mandeep Kaur, Sushma Jain. 2018. A survey towards an integration of big data analytics to big insights for value-creation. Information Processing & Management.
23. Sivarajah Uthayasankar. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research 70, 263–286.
24. Keim D., Huamin Qu, Kwan-Liu Ma. 2013. Bigdata visualization. IEEE Computer Graphics and Applications 33.4, 20–21.
25. Tsai Chun-Wie. 2015. Big data analytics: a survey. Journal of Big Data 2.1, p. 21.
26. Chen CL Philip, Chun-Yang Zhang. 2014. Dataintensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences 275, 314–347.
1. Gantz J., Reinsel D. 2012. The digital universe in2020: Big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the future 2007, 1–16.
2. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge, Fog for 5G and IoT.
3. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge", Fog for 5G and IoT.
4. Chiang M. 2017. Clarifying Fog Computing and Networking: 10 Questions and Answers", IEEE Commun. Mag, Vol. 55. No. 4, 18–20.
5. Zikopoulos P. 2013. Harness the power of big data: The IBM big data platform. New York, NY: McGraw-Hill
6. Berman J. J. 2013. Principles of big data: preparing, sharing, and analyzing complex information. Newnes.
7. Gartner IT Glossary > Big Data. Available online at:https://www.gartner.com/it-glossary/big-data.
8. Gantz J., Reinsel D. 2011. Extracting value from chaos.IDC iview 1142.2011, 1–12.
9. Aazam Mohammad, Sherali Zeadally, and Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5,46–52.
10. Aazam, Mohammad, Sherali Zeadally, Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5, 46–52.
11. Aazam, Mohammad, Sherali Zeadally, Khaled A. Harras. 2018. Fog Computing Architecture, Evaluation, and Future Research Directions. IEEE Communications Magazine 56.5, 46–52.
12. Manzalini A., Crespi N., 2016. An Edge Operating System Enabling Anything-as-a-Service, IEEE Commun. Mag., Vol. 54. No. 3, 62–67.
13. Habak K. 2017. 7 Elastic Mobile Device Clouds: Leveraging Mobile Devices to Provide Cloud Computing Services at the Edge, Fog for 5G and IoT.
14. Chiang M. 2017. Clarifying Fog Computing and Networking: 10 Questions and Answers, IEEE Commun. Mag., Vol. 55. No. 4, 18–20.
15. Hong K. 2013. Mobile Fog: A Programming Model for Large-Scale Applications on the Internet of Things. Proc. 2nd ACM SIGCOMM Wksp. Mobile Cloud Computing, Aug. 2013, 15–20.
16. Hashem Ibrahim Abaker Targio. 2015. The rise of "big data" on cloud computing: Review and open research issues. Information Systems 47, 98–115.
17. Manyika J. 2011. Big data: The next frontier for innovation, competition, and productivity.
18. Demchenko Yu., Cees De Laat, Membrey P.2014. Defining architecture components of the Big Data Ecosystem. Collaboration Technologies and Systems (CTS), 2014 International Conference on. IEEE, 2014.
19. Ahn Jong Wook, Mi Sook Yi, Dong Bin Shin.2013. Study for spatial big data concept and system building. Journal of Korea Spatial Information Society 21.5, 43–51.
20. Demchenko Yu., Gruengard E., Sander Klous.2014. Instructional model for building effective Big Data curricula for online and campus education. Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on. IEEE, 2014.
21. Uddin Muhammad Fahim, Navarun Gupta. 2014. Seven V's of Big Data understanding Big Data to extract value. American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the. IEEE, 2014.
22. Saggi Mandeep Kaur, Sushma Jain. 2018. A survey towards an integration of big data analytics to big insights for value-creation. Information Processing & Management.
23. Sivarajah Uthayasankar. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research 70, 263–286.
24. Keim D., Huamin Qu, Kwan-Liu Ma. 2013. Bigdata visualization. IEEE Computer Graphics and Applications 33.4, 20–21.
25. Tsai Chun-Wie. 2015. Big data analytics: a survey. Journal of Big Data 2.1, p. 21.
26. Chen CL Philip, Chun-Yang Zhang. 2014. Dataintensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences 275, 314–347.
 
Rights © Copyright by Lviv Polytechnic National University 2018
© Copyright by Polish Academy of Sciences 2018
© Copyright by University of Engineering and Economics in Rzeszów 2018
© Copyright by University of Life Sciences in Lublin 2018
 
Format 7-12
6
application/pdf
image/png
 
Coverage Lublin