[1] B. H. Reinhard; K. S. Bernd; G. Peter; K. Bernhard; S. Shlomo; H. Eilke B 1. (1997) ‘Changing incidence of AIDS-defining ill-nesses in the era of antiretroviral combination therapy’, AIDS. 11(14): 1731-1738, November 15, 1997.
[2] B. Rapatski, P. Klepac, S. Dueck, M. X. Liu and L. I. Weiss, (2001) ‘Mathematical epidemiology of HIV/AIDS in Cuba dur-ing the period 1986-2000’, Mathematical Biosciences and En-gineering, Vol. 3, No. 3, pp. 545-556.
[3] C. Willard JR. MD, MPH; The American Social Health Asso-ciation Panel (1999) ‘Estimates of the Incidence and Prevalence of Sexually Transmitted Diseases in the United States’, Sexually Transmitted Diseases. Vol .26, No.4, Supplement: S2-S7, April.
[4] Lewis. (2001) ‘Three stage AIDS incubation period: a worst case scenario using addict-needle interaction as-sumptions’. Mathematical Biosciences, Vol. 169, No.01, pp. 53-87.
[5] F. Berman, G. Fox, T. Hey. (2003) Grid Computing: Making the Global Infrastructure a Reality. John Wiley and Sons. P747-771.
[6] G. J. Dore, P. K. Correll, Y. Li, J. M. Kaldor, D. A. Cooper, B. J. Brew. (1999) ‘Changes to AIDS dementia complex in the era of highly active antiretroviral therapy’. PubMed, Jul 9, 13(10), 1249-53.
[7] D. J. Gregory, C. K. Patricia, Y. M. Li,; J. M. Kaldor,.; C. A. David, B. J. Bruce (1999) ‘Epidemiology and Social’, AIDS, Vol.13, No.10, pp.1249-1253, July 9.
[8] H. L. Wu. (2000) ‘Modeling the HIV epidemic: a state-space approach’. Mathematical and Computer Modeling, Vol. 32, No. 1-2, pp.197-215.
[9] Ministry of Health of the People’s Republic of China (2003) ‘Report on the Chinese AIDS Epidemic (Chinese version, De-cember 2003)’, December 1.
[10] UNAIDS/WHO. (2003) ‘Overview of making estimates of HIV/AIDS and its impact in countries with low-level or concen-trated epidemics: The Workbook Method’. UNAIDS/WHO, June.
[11] UNAIDS. (2004) ‘Report on the global AIDS epidemic (English original, June 2004)’.
[12] UNGASS. (2003) ‘Program monitoring data from UNGASS (United Nations General Assembly Special Session) country reports 2003’.
[13] UNAIDS. (2000) ‘UNAIDS Epidemiological Fact Sheets by Country’, June.
[14] United Nations. (2005) ‘Population Division, Department of Economic and Social Affairs (2005) World Population Prospects: The 2004 Revision’.
[15] I. Foster, C. Kesselman. (1999) The Grid Blueprint for a New Computing Infrastructure [M]. Morgan Kaufmann Publishers, Inc., 6-8.
[16] I Foster, C Kesselman, S Tueeke. (2001) The anatomy of the grid: Enabling scalable virtual organizations. International Journal of Supercomputer Applications, 15(3): 200-222.
[17] Z. W. Xu, W. Li, L. Zha, et al. (2004) Vega: A Computer Sys-tems Approach to Grid Computing. Journal of Grid Computing. Vol. 2(2): 109-120.
[18] Y. L. Gong, F. P. Dong, W. Li, Z. W. Xu. (2003) VEGA Infra-structure for Resource Discovery in Grids. Journal of Computer Science & Technology. Vol. 18, No.4, 413-422.
[19] W Allcock, J Bresnahan, J Bester. et a1. (2002) Grid FTP Protocol Specification [Z]. GGF Grid FTP Working Group Document.
[20] J Bester, I Foster, C Kessdman et a1. (1999) GASS:A data movement and access service for wide a computing systems [A]. Sixth Workshop on I/O in Parallel and Distributed System[C].
[21] S. Y. Liu, C. Liu, C. Z. Zhao and Yu Liu. (2007) Mathematical Models and Optimization Discussions on EA System on AIDS/ HIV Spread Estimating and Countermeasures Evaluating. IEEE 7th International Symposium on Bioinformatics and Bioengi-neering.
[22] D. Patterson, A. Brown el a1. (2002) Recover oriented comput-ing (ROC): Motivation, definition, techniques, and ease studies. UC Berkeley, Tech Rep: UCB/CSD-02-1175.
[23] L. Chen, C.L. Wang, F. C. M. Lau, and R. K. K. Ma, (2002) “A Grid Middleware for Distributed Java Computing with MPI Binding and Process Migration Supports,” International Work-shop on Grid and Cooperative Computing (GCC-2002), De-cember 26-28, Hainan, China, pp. 640-652.
[24] M. J. M. Ma, C. L. Wang, F. C. M. Lau. (2000) “JESSICA: Java-Enabled Single-System-Image Computing Architecture,” Journal of Parallel and Distributed Computing, Vol. 60, No. 10, pp. 1194-1222.
[25] H. Stockinger, F. Donno, E. Laure, S. Muzaffar, P. Kunszt, G. Andronico, P. Millar. (2003) Grid Data Management in Action: Experience in Running and Supporting Data Management Ser-vices in the EU Data Grid Project. Computer Science.
[26] K. Gor, D. Ra, S. Ali, L. Alves, N. Arurkar, I. Gupta, A. Chak-rabarti, A. Sharma, S. Sengupta. (2005) Scalable enterprise level workflow and infrastructure management in a grid computing environment. Cluster Computing and the Grid.
[27] K. Yang, A. Galis, C. Todd, (2002) Policy-based active Grid management architecture. Networks. ICON 2002.
[28] A. Boukerche, A. Roy. (2002) Dynamic Grid-Based Approach to Data Distribution Management. Journal of Parallel and Dis-tributed Computing.Volume 62, Issue 3, Pages 366-392.
[29] A. -M. Vandamme, K. Van Laethem, and E. De Clercq, (1999) “Managing Resistance to Anti-HIV Drugs: An Important Con-sideration for Effective Disease Management,” Drugs, Vol. 57, >No. 3, 337-361.
[30] H. Walter et al., (1999) “Rapid, Phenotypic HIV-1 Drug Sensi-tivity Assay for Protease and Reverse Transcriptase Inhibitors,” J. Clinical Virology, Vol. 13, Nos. 1-2, 71-80.
[31] D. Wang, S. Bloor, and B. A. Larder, (2000) “The Application of Neural Networks in Predicting Phenotypic Resistance from Genotypes for HIV-1 Protease Inhibitors,” Antiviral Therapy, Vol. 5, supplement 3, 51-52.
[32] J. R. Quinlan, (1993) C4.5: Programs for Machine Learning, Morgan Kaufmann, San Francisco.
[33] C. J. C. Burges, (1998) “A Tutorial on Support Vector Machines for Pattern Recognition,” Data Mining and Knowledge Discov-ery, Vol. 2, No. 2, 121-167.
[34] T. Joachims, (1999) "Making Large-Scale Support Vector Ma-chine Learning Practical,?Advances in Kernel Methods: Sup-port Vector Learning, B. Scholkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, Mass., 169-184.
[35] J. Selbig, T. Mevissen, and T. Lengauer, (1999) “Decision Tree-Based Formation of Consensus Protein Secondary Structure Prediction,” Bioinformatics, Vol. 15, No. 12, 1039-1046.
[36] X. Shen, W. K. Liao, A. Choudhary, G. Memik, M. Kandemir, (2003) “A high-performance application data environment for large-scale scientific computations,” IEEE Transactions on Par-allel and Distributed Systems, Volume: 14 Issue: 12 Date: Page(s): 1262-1274.