Calculation method of internetware reliability distribution

被引:0
作者
Zhang, Jing [1 ,2 ]
Lei, Hang [1 ]
Han, Xuan [1 ]
Wang, Yunsheng [1 ]
机构
[1] School of Computer Science and Engineering, University of Electronic and Science Technology of China, Chengdu, 611731, Sichuan
[2] School of Computer, Panzhihau University, Panzhihua, 617000, Sichuan
关键词
Algorithm; Architecture; Cost; Distribution; Internetware; Method; Reliability;
D O I
10.2174/1874110X01408010044
中图分类号
学科分类号
摘要
To plan Internetware reliability in advance can effectively save cost and guarantee the reliability of Internetware system. The conversion method of Markov chain of Internetware based on architecture and the reliability calculation method are studied; the reliability function based on structure is proposed; the characteristics of the improvement of Internetware reliability is analyzed; the cost function of Internetware reliability is studied; the uncertainty of dynamic distribution in a certain range and the distribution accuracy are improved; the pre-distribution is put forward; the effective planned distribution of Internetware reliability is realized by using optimization calculation algorithm. The experiments prove that the proposed method can effectively distribute Internetware reliability with high system reliability, low cost and short distribution calculation time. © Zhang et al.; Licensee Bentham Open
引用
收藏
页码:44 / 49
页数:5
相关论文
共 18 条
[1]  
Mei H., Huang G., Internetware: A software paradigm for Internet computing, IEEE Softw., 45, 6, pp. 26-31, (2012)
[2]  
Tsai W.T., Jin Z., Bai X.Y., Inrnetware Computing:Issues and Perspective, Int. J. Softw. Inform., 3, 4, pp. 415-438, (2009)
[3]  
Tyagi K., Sharma A., Reliability of component based systems - A critical survey, WSEAS Trans. Comput., 2, 11, pp. 45-54, (2012)
[4]  
Hsu C.J., Huang C.Y., An adaptive reliability analysis using path testing for complex component-based software systems, IEEE Trans. Reliab., 60, 1, pp. 158-170, (2011)
[5]  
Cheung R.C., A User-Oriented software reliability model, IEEE Trans. Softw. Eng, 6, 2, pp. 118-125, (1980)
[6]  
Lo J., Huang C.Y., Chen I.Y., Kuo S.Y., Lyu M.R., Reliability assessment and sensitivity analysis of software reliability growth modeling based on software module structure, Comput. Softw. Appl., 76, 1, pp. 3-13, (2005)
[7]  
Gokhale S.S., Trivedi K.S., Reliability Prediction and Sensitivity Analysis Based on Software Architecture, Proceedings of the 13Th International Symposium on Software Reliability Engineering(ISSRE’02), pp. 64-78
[8]  
Pietrantuono R., Russo S., Trivedi K.S., Software Reliability and Testing Time Allocation: An Architecture-Based Approach, IEEE Trans. Softw. Eng., 36, 3, pp. 323-336, (2010)
[9]  
Lyu M.R., Rangarajan S., van Moorsel A.P., Optimal allocation of test resources for software reliability growth modeling in software development, IEEE Trans. Reliab, 51, 2, pp. 183-192, (2002)
[10]  
Lo J.H., Kuo S.Y., Lyu M.R., Huang C.Y., Optimal Resource Allocation and Reliability Analysis for Component-Based Software Applications, Proceedings of the 26 Th Annual International Computer Software and Applications Conference (COMPSAC’ 02), pp. 7-12