The choice of cloud technology for big data
dc.citation.journalTitle | Econtechmod | |
dc.citation.volume | Volum 6, number 2 | |
dc.contributor.affiliation | Lviv Polytechnic National University | uk_UA |
dc.contributor.author | Veres, O. | |
dc.contributor.author | Kozak, N. | |
dc.coverage.country | PL | uk_UA |
dc.coverage.placename | Lublin ; Rzeszow | uk_UA |
dc.date.accessioned | 2018-02-12T13:12:48Z | |
dc.date.available | 2018-02-12T13:12:48Z | |
dc.date.issued | 2017 | |
dc.description.abstract | This article describes specific features of cloud technology types and their existing classifications, as well as the peculiarities of their implementation in the process of designing the DDS for Big Data Management. The application of the analytic hierarchy process for the choice of cloud technology within the project of DDS for Big Data Management is suggested and described within this paper. Multi-criteria decision making task with a defined set of options and criteria is solved. | uk_UA |
dc.format.pages | 59-66 | |
dc.identifier.citation | Veres O. The choice of cloud technology for big data / O. Veres, N. Kozak // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2017. – Volum 6, number 2. – P. 59–66. – Bibliography: 43 titles. | uk_UA |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/39421 | |
dc.language.iso | en | uk_UA |
dc.publisher | Commission of Motorization and Energetics in Agriculture | uk_UA |
dc.relation.referencesen | 1. Ageev. 2015. Analysts have warned about the dangers of large data. Available: http://bigdata. cnews.ru/news/top/2015-10-23 _eksperty_predosteregayut_ ot_nepravilnogo_obrash cheniya. 2. Named the causes braking big data market. Available: http://bigdata.cnews.ru/news/top/2015-11- 20_analitiki _otsenili_tempy_rosta_mirovogo_rynka. 3. Power D. J. 2007. A Brief History of Decision Support Systems. DSSResources.COM. Available: http://DSSResources.COM/history/dsshistory.html, version 4.0, March 10, 2007. 4. Oleh Veres. 2015. Aspects of manifestation of uncertainty in the process of developing decision support systems. Visn. Lviv Polytechnic National University. Series: Information systems and networks, no. 829, pp. 58–75, 2015. (in Ukrainian). 5. Big Data. Available: http://www.tadviser.ru/ a/125096. 6. Hall Robert E. 2013. In Big Data We Hope and Distrust. DSSResources.COM, 04/14/2013. 7. Frank J. Ohlhorst. 2012. A Cloudy Year for Big Data. eWeek. Available: http://www.eweek.com/ c/a/Cloud-Computing/2012-A-Cloudy-Year-for-Big- Data-102807. 8. Gartner: Gartner Says Solving 'Big Data' Challenge Involves More Than Just Managing Volumes of Data. Gartner (27 June 2011). http:// www.gartner.com/ newsroom/id/1731916. 9. Manyika, James et al. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute, June, 2011, 156 p. 10. Shakhovska N., Bolubash Yu. 2013. Working with Big Data as indicators of socio-ecological-economic development. Eastern-European Journal of Enterprise Technologies, T. 5, Vol. 2(65), 2013, рр. 4–8. (in Ukrainian). 11. Chris Preimesberger. 2011. Hadoop, Yahoo, 'Big Data' Brighten BI Future. eWeek (15 August 2011). http://www.eweek.com/c/a/Data-Storage/TBAHadoop- Yahoo-Big-Data-Brightens-BI-Future- 254079. 12. Inmon W. H. 2014. Big Data – getting it right: A checklist to evaluate your environment. DSSResources. COM, – 2014. http:// dssresources. com/papers/features/inmon/inmon01162014.htm/. 13. Cloud computing. Available: http://uk. wikipedia.org/wiki/Хмарні_обчислення. 14. David Chappel: A short introduction to cloud platforms. An Enterprise-Oriented view. Chappell&Associates, Available: http://www. davidchappell. com/ CloudPlatforms--Chappell.pdf. 15. Hai Jin, Shadi Ibrahim, Tim Bell, Li Qi, Haijun Cao, Song Wu, Xuanhua Shi. 2010. Tools and Technologies for Building Clouds. Cloud Computing: Principles, Systems and Applications. Computer Communications and Networks, DOI: 10.1007/978-1-84996-241-4_1, Springer-Verlang London Limited, 2010. 16. Venkata Josyula, Malcolm Orr, Greg Page. 2011. Cloud Computing: Automating the Virtualized Data Center. Cisco Press, 2011, 336 p., ISBN: 1587204347. 17. IDC Forecasts Public IT Cloud Services Spending Will Reach $127 billion in 2018 as the Market Enters a Critical Innovation Stage. Available: http:// www.idc.com/getdoc.jsp?containerId=prUS25219014. 18. William Y. Chang, Hosame Abu-Amara, Jessica Feng Sanford. 2010. Transforming Enterprise Cloud Services. London: Springer, 2010, pp. 55–56. 19. The NIST Definition of Cloud Computing. National Institute of Science and Technology. Retrieved 24 July 2011. Available: http://csrc.nist.gov /publications/nistpubs/800-145/SP800-145.pdf 20. Power D. J. 2000. Web-based and model-driven decision support systems: concepts and issues. Americas Conference on Information Systems. Long Beach, California, 2000. 21. Shakhovska N. B., Bolubash Yu. Ja. and Veres O. M. 2014. Big data organizing in a distributed environment. Computer Science and Automation. Donetsk. Ukraine, No. 2(27), рр. 147–155 (in Ukrainian). 22. Shakhovska N. B., Bolubash Yu. Ja., Veres O. M. 2015. Big Data Federated Repository Model // The Experience of Designing and Application of CAD Systems in Microelectronics (СADMS’2015) Proc. of the XIII-th Int. Conf., (Polyana-Svalyava (Zakarpattya), Ukraine, 24–27 February, 2015). – Lviv: Publishing Lviv Polytechnic, 2015, рр. 382–384 (in Ukrainian). 23. Shakhovska N., Veres O., Bolubash Y., Bychkovska- Lipinska L. 2015. Data space architecture for Big Data managering. Xth International Scientific and Technical Conference “Computer Sciences and Information Technologies” (CSIT’2015), pp. 184– 187, Lviv, 2015. DOI: 10.1109/STCCSIT. 2015.7325461 24. Veres O., Shakhovska N. 2015. Elements of the formal model big date. XI International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH’2015), pp. 81–83, Lviv, 2015 (in Ukrainian). 25. Shakhovska N., Veres O., Hirnyak M. 2016. Generalized formal model of Big Data. ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes, Vol. 5, No. 2, pp. 33–38, 2016. 26. Shakhovska N., Veres O., Bolubash Y. 2015. Big Data Information Technology and Data Space Architecture. Sensors & Transducers, Vol. 195, No. 12, pp. 69–76, 2015. 27. Shakhovska N., Veres O., Bolubash Y. 2015. Big Data Model “Entity and Features”. ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes, Vol. 4, No. 2, pp. 51–58, 2015. 28. Arefiev N. 2013. IaaS, PaaS, SaaS. Section area between providers and customers of cloud services. Jet Info, No. 5, pp. 17–20, 2013. 29. Kuzmina M. 2016. Cloud services, or that such IaaS? The difference between SaaS and PaaS. Available: http://www.it-grad.ru/tsentr_kompetentsii/ blog/33/. 30. Plummer D. C. 2008. Cloud Computing Confusion Leads to Opportunity. Report no. G00159034. Gartner Group. Available: http://www.gartner.com/ it/content/868800/868812/cloud_computing _confusion.pdf, 2008. 31. Guide to Cloud Computing. Available: http://www.informationweek.com/cloud/software-asa- service/guide-to-cloud-computing/d/d-id/1069065. 32. Lee G., Antonopoulos N. 2010. Cloud Computing: Principles, Systems and Applications. London: Springer, 379 p., 2010. 33. Rajkumar Buyya, James Broberg, Andrzej Goscinski. 2011. Cloud Computing: Principles and Paradigms. Wiley. Published by John Wiley & Sons, Inc., Hoboken, New Jersey, 2011 34. Michael P. McGrath. 2012. Understanding PaaS. O'ReillyMedia, 2012, 46 p. 35. Brandon Butler. 2013. PaaS Primer: What is platform as a service and why does it matter? Network World, February 11, 2013. 36. Judith Hurwitz, Marcia Kaufman, Fern Halper, Dan Kirsh. 2012. What Is Platform as a Service (PaaS) in Cloud Computing? Hybrid Cloud For Dummies, Hoboken, NJ: John Wiley & Sons, 2012. 37. Saaty Thomas L. 2012. Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. New Edition 2001 (Analytic Hierarchy Process Series, Vol. 2), Pittsburgh, Pennsylvania: RWS Publications, September 3, 2012. 38. Saaty T. L. 2006. Fundamentals of Decision Making. RWS Publications, 2006. 39. Saaty T. L. 2006. Theory and Applications of the Analytic Network Process. RWS Publications, 2006. 40. Saaty T. L. 2010. Principia Mathematica Decernendi, subtitled Mathematical Principles of Decision Making. RWS Publications, 2010. 41. Saaty T. L., Shang J. 2011. An innovative ordersofmagnitude approach to AHP-based mutli-criteria decision making: Prioritizing divergent intangible humane acts. European Journal of Operational Research, 214(3), pp. 703–715, 2011. 42. Saaty T. L. 2015. On the Measurement of Intangibles. A Principal Eigenvector Approach to Relative Measurement Derived from Paired Comparisons. Cloud of Science. 2015. T. 2, No. 1, Available: http://cloudofscience.ru ISSN 2409-031X. 43. Katrenko, V. Pasіchnik, V. Pasko. 2009. Decision Theory. BHV, Kiev, 2009, 448 p. (in Ukrainian). | uk_UA |
dc.subject | Big Data | uk_UA |
dc.subject | cloud services | uk_UA |
dc.subject | decision making method | uk_UA |
dc.subject | Decision Support System | uk_UA |
dc.title | The choice of cloud technology for big data | uk_UA |
dc.type | Article | uk_UA |