Complexity Assessment for Autonomic Systems by Using Neuro-Fuzzy Approach

Author:

Dehraj Pooja,Sharma Arun

Publisher

Springer Singapore

Reference18 articles.

1. Horn, P.: Autonomic computing: IBM’s perspective on the state of information technology. In: Technical Report, International Business Machines Corporation (IBM), USA (2001)

2. McCann, J.A., Huebscher, M.C.: Evaluation issues in autonomic computing. In: Grid and Cooperative Computing Workshops, pp. 597–608. Springer, Berlin (2004)

3. Parashar, M., Hariri, S.: Autonomic computing: an overview. In: Unconventional Programming Paradigms, pp. 257–269. Springer, Berlin (2005

4. Salehie, M., Tahvildari, L.: Autonomic computing: emerging trends and open problems. ACM SIGSOFT Softw. Eng. Notes 30(4), 1–7 (2005)

5. Jang, J.S.R., Sun, C.T.: Neuro-fuzzy modeling and control. Proc. IEEE 83(3), 378–406 (1995)

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