Journal ArticleDOI
A Survey on Applications of Neural Networks and Evolutionary Techniques in Web Caching
P. Venketesh,R Venkatesan +1 more
TLDR
The various approaches that were designed based on neural networks, genetic algorithms and fuzzy logic to optimize the performance of web caching proved to be more effective in solving the problems as compared to the conventional techniques that were used earlier in this problem domain.Abstract:
Web caching has been used extensively to enhance content delivery to the clients by minimizing client-observed latency, reducing network bandwidth usage and improving scalability of the network. Caching performance can be improved by designing good replacement policies, prefetching techniques, clustering of web users and proper placement of proxy caches in the network. In this paper, we discuss the various approaches that were designed based on neural networks, genetic algorithms and fuzzy logic to optimize the performance of web 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. Neural networks and evolutionary algorithms can be considered for further exploration in the various issues related to web caching and content delivery.read more
Citations
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Advanced Applications of Neural Networks and Artificial Intelligence: A Review
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Jhonny Mertz,Ingrid Nunes +1 more
TL;DR: In this paper, the authors provide a comprehensive introduction to web caching and application-level caching, and present state-of-the-art work on designing, implementing, and managing application level caching.
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A survey on analysis and detection of Android ransomware
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References
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TL;DR: This article proposes a classification for proposals for cache replacement that subsumes prior classifications and discusses the importance of cache replacement strategies in modern proxy caches and outlines potential future research topics.
Proceedings ArticleDOI
Advanced contention management for dynamic software transactional memory
TL;DR: This work considers both visible and invisible versions of read access, and benchmarks that vary in complexity, level of contention, tendency toward circular dependence, and mix of reads and writes, and identifies a candidate default policy.
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Backpropagation neural nets with one and two hidden layers
TL;DR: Experimental results indicate that four-layered networks are more prone to fall into bad local minima, but that three- and four-Layered networks perform similarly in all other respects.
Journal ArticleDOI
Web proxy cache replacement scheme based on back-propagation neural network
Jake Cobb,Hala ElAarag +1 more
TL;DR: A novel approach to web proxy cache replacement which utilizes neural networks for replacement decisions is developed and analyzed and the resulting caching strategy with respect to specific cache conditions is analyzed.
Journal ArticleDOI
Adaptive neural network clustering of Web users
TL;DR: This work has developed a clustering algorithm that groups users according to their Web access patterns, based on the ART1 version of adaptive resonance theory and compared the algorithm's performance with the traditional k-means clustering algorithms.