You are here

Home » Content

A Survey on Applications of Genetic Algorithms and Fuzzy Logic in Caching

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2012

Key Words:

Author Name
Abstract (2. Language): 
Caching performance can be improved by designing good replacement policies. This paper, discuss the various approaches that were designed based on genetic algorithms and fuzzy logic to optimize the performance of caching. The approaches discussed here proved to be more effective in solving the problems as compared to the conventional techniques that were used earlier in this problem domain.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon arastirmax-survey-applications-genetic-algorithms-and-fuzzy-logic-caching.pdf
  • 2
5-7
  • English

REFERENCES

References: 

[1] M. Sabeghi, and M. H. Yaghmaee, "Using Fuzzy Logic to Improve Cache
Replacement Decisions", International Journal of Computer Science and
Network Security, vol. 6, no. 3A, Mar. 2006.
[2] G. Valli, and M.C.Calzarossa, "A Fuzzy Algorithm for Web Caching",
proceedings of International Symposium on Performance Evaluation of
Computer and Telecommunication Systems ( SPECTS ), pp. 630-7, SCS
Press, 2003.
[3] D. E. Goldberg, “Real-coded Genetic Algorithms, Virtual Alphabets, and
Blocking” Complex Systems, 5 (1991) 139-167
[4] A. Silberschatz, and P. B. Galvin, Operating System Concepts (1998)
300-313.
[5] A. Vakali, "Evolutionary Techniques for Caching", Distributed and
Parallel Databases, Springer, vol. 11, pp. 93-116, 2002.
[6] Koza, John R., Bennett III, Forrest H, Andre, David, and Keane, Martin
A. Genetic Programming III: Darwinian Invention and Problem Solving
(1999)

Thank you for copying data from http://www.arastirmax.com