One of the most popular scale exponent estimation algorithms is the Rescaled Range (R/S) analysis. The algorithm estimates the ratio of a range and standard deviation statistics in a window with increasing length. Firstly, through simulations with generated noise we analyze estimation precision of the algorithm and find that the algorithm overestimates and underestimates at lower and higher bounds of the estimation range correspondingly. Secondly, we analytically analyze the reasons for estimation errors. Based on spectral model of self-similar processes we find that the root of incorrect estimation is in the bias that persists in variance calculated for self-similar processes of limited length. Thirdly, we apply R/S algorithm to estimate scale exponents in WiMAX traffic, finally we compare the estimated exponent with the exponent obtained based on standard deviation statistics.
목차
Abstract 1. Introduction 2. The Spectral Model of Self-similar Processes 3. R/S Analysis and its Estimation Problems 4. The Sources of Estimation Errors 5. Experiments 6. Conclusion Acknowledgements References
키워드
Scale exponentlong range dependencyfractal dimensionnetwork trafficR/S statisticsdetrended fluctuation analysis
저자
Artem A. Lenskiy [ School of Electrical, Electronics & Communication Engineering Korea University of Technology and Education ]
Soonuk Seol [ School of Electrical, Electronics & Communication Engineering Korea University of Technology and Education ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.7 No3