Trace-based analysis and prediction of cloud computing user behavior using the fractal modeling technique

Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014

Volumn , Issue , 2014, Pages 733-739

  Chen, Shuang ^a   Ghorbani, Mahboobeh ^a   Wang, Yanzhi ^a   Bogdan, Paul ^a   Pedram, Massoud ^a  

^a University of Southern California ^*  (United States)

Author keywords

alpha stable distribution; cloud computing; fractional order calculus; Google cluster dataset

Indexed keywords

ADVANCED ANALYTICS; BEHAVIORAL RESEARCH; BIG DATA; CALCULATIONS; CLOUD COMPUTING; DATA ANALYTICS; DIFFERENTIAL EQUATIONS; DIGITAL STORAGE; EMBEDDED SYSTEMS; FRACTALS;

ALPHA-STABLE DISTRIBUTION; CLOUD INFRASTRUCTURES; CYBER-PHYSICAL SYSTEMS (CPS); FRACTIONAL-ORDER CALCULUS; FRACTIONAL-ORDER DIFFERENTIAL EQUATIONS; GOOGLE CLUSTER DATASET; RESEARCH INTERESTS; SCIENCE AND TECHNOLOGY;

CLUSTER COMPUTING;

EID: 84923920082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.Congress.2014.108     Document Type: Conference Paper

References (27)

1. R. E. Bryant Data-intensive supercomputing: The case for DISC 2007.
2. J. F.Gantz, " The diverse and exploding digital universe: An updated forecast of worldwide information growth through 2011," IDC, 2008.
3. S. Lohr, "The age of big data. ", New York Times 11, 2012.
4. D. Agrawal, S. Das, A. E. Abbadi, " Big data and cloud computing: current state and future opportunities," In Proceedings of the 14th International Conference on Extending Database Technology, pp.530-533, 2011.
5. - Google cluster data." [Online]. Available: https://code.google.com/p/googleclusterdata/
6. C. Reiss, A. Tumanov, G. R. Ganger, R. H. Katz, and M.A. Kozuch, " Heterogeneity and dynamicity of clouds at scale: Google trace analysis," Proceedings of the Third ACM Symposium on Cloud Computing (SoCC '12), 2012.
7. P. Ch. Ivanov, et al., "Scaling and universality in heart rate variability distributions," Physica A: Statistical Mechanics and Its Applications, vol. 249, no. 1, pp.587-593
8. P. Bogdan, R. Marculescu, "Workload Modeling and Related Issues for Designing Future Cyber Physical Systems," IEEE Design and Test of Computers, 2010.
9. P. Bogdan, R. Marculescu, "Towards a Science of Cyber-Physical Systems Design, " Cyber-Physical S ystems (ICCPS), 2011 IEEE/ACM International Conference on , pp.99-108, 2011.
10. W. Feller, An introduction to probability theory and its applications. Vol. 2. John Wiley & Sons, 2008.
11. D. Boyd, K. Crawford, "Six Provocations for Big Data, " A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society, 2011.
12. C. Lynch, "Big data: How do your data grow? " Nature, vol. 455, no. 7209, pp. 28-29, 2008.
13. Y. Huai, R. Lee, S. Zhang, C. H. Xia, and X. Zhang, " DOT: a matrix model for analyzing, optimizing and deploying software for big data analytics in distributed systems," In Proceedings of the 2nd ACM Symposium on Cloud Computing (SOCC '11), 2011.
14. M. Lu, L. Zhang, H. P. Huynh, Z. Ong, Y. Liang, B. He, R. S. M. Goh, R. Huynh, "Optimizing the MapReduce framework on Intel Xeon Phi coprocessor, " 2013 IEEE International Conference on Big Data, pp.125-130, 2013.
15. S. Di, D. Kondo, W. Cirne, " Characterization and Comparison of Cloud versus Grid Workloads," 2012 IEEE International Conference on Cluster Computing (CLUSTER), pp.230-238, 2012.
16. Z. Liu, S. Cho, "Characterizing Ma chines and Workloads on a Google Cluster," 2012 41st International Conference on Parallel Processing Workshops (ICPPW), pp.397-403, 2012.
17. Q. Zhang, M. F. Zhani, S. Zhang, Q. Zhu, R. Boutaba, and J. L. Hellerstein, " Dynamic energy-Aware capacity provisioning for cloud computing environments," In Proceedings of the 9th international conference on Autonomic computing(ICAC '12), pp.145-154, 2012.
18. B.B. Mandelbrot and J. W. Van Ness, " Fractional Brownian motions, fractional noises and applications," SIAM Review, vol. 10, pp. 422-437, 1968.
19. W. E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson, " On the self-similar nature of Ethernet traffic," In Proceedings on Communications architectures, protocols and applications (SIGCOMM '93), pp. 183-193, 1993.
20. W. E. Leland, M. S. Ta qqu, W. Willinger, and D. V. Wilson, " On the self-similar nature of Ethernet traffic (extended version)," Networking, IEEE/ACM Transactions on , vol.2, no.1, pp.1,15, 1994.
21. M. E. Crovella, and A. Bestavros, "Self-similarity in World Wide Web traffic: evidence and possible causes, " Networking, IEEE/ACM Transactions on , vol.5, no.6, pp.835-846, 1997.
22. M. Faloutsos,P. Faloutsos,C. Faloutsos On power-law relationships of the Internet topology In Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication (SIGCOMM '99) 251-262 1999.
23. B. B. Mandelbrot, A. Aharony, and J. Feder, Fractals in Physics: Essays in Honour of Benoit B. Mandelbrot- : Proceedings of the International Conference Honouring Benoit B. Mandelbrot on His 65th Birthday, Elsevier, 1990.
24. "FracLab. " [Online]. Available: http://fraclab.saclay.inria.fr/
25. I. Petrá͉ , Fractional-Order Nonlinear Systems: Modeling, Analysis and Simulation, Springer, 2011.
26. B. Whitcher, M.J. Jensen, "Wavelet estimation of a local long memory parameter, " Exploration Geophysics, pp.94-103, 2000.
27. E. J. Hannan, Multiple time series, Wiley, 1970