Abstract
In this book we started with gathering data on the system and ended with optimization models to be used in web planning. We employed two methods in web planning: (1) fuzzy probabilities; and (2) fuzzy arrival rates and fuzzy service rates. So, we first present a brief summary of these two methods followed by our future research topics in this area. A summary of the computational algorithms used is in the next chapter. There is an increasing interest in web planning as seen by recent books in this area (see [4],[5],[6]) and new conferences on this topic (see [2],[3]).
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References
J.J.Buckley, K.Reilly and X.Zheng: Crisp Simulation of Fuzzy Computations, Proc. ISUMA, Univ. Maryland, Sept. 21–24, 2003. To appear.
IEEE/WIC Int. Conf. on Web Intelligence (WI 2003 ), ( http://www.comp.hkbu.edu.hk/WI03/).
Internet and Multimedia Systems and Applications (IMSA 2003),(http://www.iasted.org/conferences/2003/hawaii).
D.A.Menasce and V.A.F.Almeida: Capacity Planning for Web Performance, Prentice Hall, Upper Saddle River, N.J., 1998.
D.A.Menasce and V.A.F.Almeida: Scaling for E-Business: Technologies, Models, Performance and Capacity Planning, Prentice Hall, Upper Saddle River, N.J., 2000.
D.A.Menasce, V.A.F.Almeida: Capacity Planning for Web Services: Metrics, Models and Methods, Second Edition, Prentice Hall, Upper Saddle River, N.J., 2001.
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© 2004 Springer-Verlag Berlin Heidelberg
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Buckley, J.J. (2004). Summary and Future Research. In: Fuzzy Probabilities and Fuzzy Sets for Web Planning. Studies in Fuzziness and Soft Computing, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36426-9_18
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DOI: https://doi.org/10.1007/978-3-540-36426-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05596-6
Online ISBN: 978-3-540-36426-9
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