Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix

doi:10.1016/S1005-8885(11)60279-3

Acta Metallurgica Sinica(English letters) ›› 2012, Vol. 19 ›› Issue (4): 29-33.doi: 10.1016/S1005-8885(11)60279-3

Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix

吴吉祥,夏靖波

1.Institute of Information and Navigation, Air Force Engineering University 2.Institute of Radar and Electronic Warfare, Equipment Academy of Air Force

收稿日期:2011-11-02 修回日期:2012-06-04 出版日期:2012-08-31 发布日期:2012-09-12
通讯作者: 吴吉祥 E-mail:Jixiang19850126@163.com
基金资助:
陕西省自然科学基础研究计划项目

Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix

Ji-Xiang WU ²

1.Institute of Information and Navigation, Air Force Engineering University 2.Institute of Radar and Electronic Warfare, Equipment Academy of Air Force

Received:2011-11-02 Revised:2012-06-04 Online:2012-08-31 Published:2012-09-12
Contact: Ji-Xiang WU E-mail:Jixiang19850126@163.com
Supported by:
Natural Science Foundation Research Project of Shanxi Province

摘要/Abstract

摘要：

The final goal of quality of service (QoS) guarantees is to assure high quality of experience (QoE) for users. We cannot control QoE, but it is feasible to use QoS control schemes at lower levels to keep QoE high. We need to know the necessary QoS parameters values which need the minimum cost but could satisfy required QoE. An enhanced method is proposed to get the necessary quality of service (QoS) parameters which cost minimum but could satisfy required Quality of Experience (QoE) well. It abstracts the problem of obtain necessary QoS parameters to be how to get the solution of linear regression equations considering cost coefficient. The method establishes equations utilizing principal component analysis and multiple regression analysis based on normalized data. This paper defines the cost of necessary QoS and introduces the calculation of minimum cost necessary QoS parameter by inverse or generalized inverse matrix operations. The numerical example proves the normalization to be effective and the calculated values are feasible.

关键词:

user satisfaction, QoS, normalization, multiple regression analysis, cost, generalized inverse

Abstract:

Key words:

user satisfaction, QoS, normalization, multiple regression analysis, cost, generalized inverse

中图分类号:

TP393

Ji-Xiang WU. Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix[J]. Acta Metallurgica Sinica(English letters), 2012, 19(4): 29-33.

参考文献

1. Tasaka S, Ishibashi Y. Mutually compensatory property of multimedia QoS. Proceedings of the IEEE International Conference on Communications (ICC’02): Vol 2, Apr 28-May 2, 2002, New York, NY, USA. Piscataway, NJ, USA: IEEE, 2002: 1105-1111

2. ITU-T P.10/G.100 Amendment 1. New appendix 1 definition of quality of experience (QoE). 2007

3. Ito Y , Tasaka S. Feasibility of QoS control based on QoS mapping over IP networks. Computer Communications, 2008, 31(10): 2589-2595

4. Khirman S, Henriksen P. Relationship between quality of service and quality of experience for public Internet service. Proceedings of the 3th Passive and Active Measurement Workshop (PAM’ 02), Mar 24-26, 2002, Fort Collins, CO, USA. New York, NY, USA: ACM, 2002

5. Liu L Y, Zhou W A, Song J D. The research of quality of experience evaluation method in pervasive computing environment. Proceedings of the 1st International Symposium on Pervasive Computing and Applications (SPCA’06), Aug 3-5, 2006, Urumchi, China. Piscataway, NJ, USA: IEEE, 2006: 178-182

6. Du H Q, Guo C, Liu Y X, et al. Research of relationship between QoE and QoS based on BP neural network. Proceedings of the 2009 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC’09), Nov 6-7, 2009, Beijing, China. Piscataway, NJ, USA: IEEE, 2009: 312-315

7. Janowski L, Papir Z. Modeling subjective tests of quality of experience with a generalized linear model. Proceedings of the International Workshop on Quality of Multimedia Experience (QOMEX’09), Jul 29-31, 2009, San Diego, CA, USA. Piscataway, NJ, USA: IEEE, 2009: 35-40

8. Ito Y. Calculation of necessary QoS for user satisfaction with a QoS mapping matrix. Proceedings of the 10th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT’10), Jul 19-23, 2010, Seoul, Republic ofKorea. Piscataway, NJ, USA: IEEE, 2010: 233-236

9. Guo Y J, Yi P T. Character analysis of linear dimensionless methods. Statistical Research, 2008, 25(2): 93-100 (in Chinese).

10. ITU-T Rec P.800.1. Mean Opinion Score (MOS) terminology, telecommunication standardization sector. 2006

11. Dixon W J, Massey F J Jr. Introduction to statistical analysis. New York, NY, USA: McGraw-Hill, 1984

12. Eduardo M. Improving subjective estimates using paired comparisons. IEEE Software, 2001, 18(1): 87-91

[1]	肖雅郑世慧孙斌. Trusted GPSR protocol without reputation faking in VANET[J]. Acta Metallurgica Sinica(English letters), 2015, 22(5): 22-31.
[2]	石文孝吴丹许银龙王继红. Routing metric of interference-aware link quality: an improved ETX in wireless mesh networks[J]. Acta Metallurgica Sinica(English letters), 2014, 21(5): 61-67.
[3]	肖丁石川. Autonomic discovery of subgoals in hierarchical reinforcement learning[J]. Acta Metallurgica Sinica(English letters), 2014, 21(5): 94-104.
[4]	童俊杰鄂海红宋美娜宋俊德. Host load prediction in cloud based on classification methods[J]. Acta Metallurgica Sinica(English letters), 2014, 21(4): 40-46.
[5]	徐嬴颖陈常嘉赵永祥陈一帅. Cloud download system optimizing by job and notification scheduling[J]. Acta Metallurgica Sinica(English letters), 2014, 21(4): 47-53.
[6]	王若愚刘珍张凌. Method of data cleaning for network traffic classification[J]. Acta Metallurgica Sinica(English letters), 2014, 21(3): 35-45.
[7]	林文辉雷振明刘军杨洁刘芳何刚,WANG Qin. MapReduce optimization algorithm based on machine learning in heterogeneous cloud environment[J]. Acta Metallurgica Sinica(English letters), 2013, 20(6): 77-87.
[8]	李文霁郑康锋张冬梅 YE-Qing YANG Yi-xian. Efficient identity-based signature scheme with batch authentication for delay tolerant mobile sensor network [J]. Acta Metallurgica Sinica(English letters), 2013, 20(4): 80-86.
[9]	付雄 ZHU Xin-xin, HAN Jing-yu, WANG Ru-chuan. QoS-aware replica placement for data intensive applications[J]. Acta Metallurgica Sinica(English letters), 2013, 20(3): 43-47.
[10]	姚玉坤王冠任智李鹏翔陈永超. Efficient distributed address assignment algorithm based on topology maintenance in ZigBee networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(3): 53-59.
[11]	张招亮李栋黄庭培崔莉. Leveraging data fusion to improve barrier coverage in wireless sensor networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(1): 26-36.
[12]	沙超王汝传. Energy-efficient node deployment strategy forwireless sensor networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(1): 54-57.
[13]	姚玉坤温亚迪任智刘智虎. High efficient multipacket decoding approach for network coding in wireless networks[J]. Acta Metallurgica Sinica(English letters), 2013, 20(1): 95-100.
[14]	詹振球朱杰孙宜进. Further results on local stability of LRC-RED algorithm in Internet[J]. Acta Metallurgica Sinica(English letters), 2012, 19(5): 99-103.
[15]	詹振球朱杰徐迪. Stability analysis in an AVQ model of Internet congestion control algorithm[J]. Acta Metallurgica Sinica(English letters), 2012, 19(4): 22-28.

Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix

Enhanced calculation of necessary QoS for user satisfaction with a QoS mapping matrix

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价