원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.7 No.5
2014.10
pp.149-158
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Using mathematical method to model Web workload locality characteristics is established based on the study of entropy and coefficient of variation. Experiments show that these metrics can depict locality characteristics more properly and are much easier to use.
목차
Abstract
1. Introduction
2. Related Work
2.1. Inter Arrival Distance (IAD)
2.2. Independent Reference Model
2.3. Stack Distance Model
2.4. Zip’s Law
2.5. ADF Model
3. Measuring Locality of Web Object Referenced
3.1. Modeling of Popularity: Zip’s Law
3.2. Measuring of Popularity: Entropy
3.3. Measuring of Correlation: the Coefficient of Variation
4. Experiments
4.1. Data Collection
4.2. Validaton of Files’ Reference Distance
4.3. Validation of Two Measure Method
5. Conclusion
Acknowledgments
References
1. Introduction
2. Related Work
2.1. Inter Arrival Distance (IAD)
2.2. Independent Reference Model
2.3. Stack Distance Model
2.4. Zip’s Law
2.5. ADF Model
3. Measuring Locality of Web Object Referenced
3.1. Modeling of Popularity: Zip’s Law
3.2. Measuring of Popularity: Entropy
3.3. Measuring of Correlation: the Coefficient of Variation
4. Experiments
4.1. Data Collection
4.2. Validaton of Files’ Reference Distance
4.3. Validation of Two Measure Method
5. Conclusion
Acknowledgments
References
저자정보
참고문헌
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