Towards self organizing cache memories using neural networks

Hammami, Omar

doi:10.1109/icnn.1995.487541

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…Hammami [9] was the pioneer in investigating the possibility of using ANN in a new cache block placement. In his work, he adapted ANN in block placement strategy in computer cache memory widely known as Random Access Memory (RAM).…”

Section: Intelligent Web Caching Architecturementioning

confidence: 99%

Autonomous SPY©: Intelligent Web proxy caching detection using neurocomputing and Particle Swarm Optimization

Sulaiman

Shamsuddin

Forkan

et al. 2009

2009 6th International Symposium on Mechatronics and Its Applications

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The demand for Internet content rose dramatically in recent years. Servers became more and more powerful and the bandwidth of end user connections and backbones grew constantly during the last decade. Nevertheless users often experience poor performance when they access Web sites or download files. Reasons for such problems are often performance problems which occur directly on the servers (e.g. poor performance of server-side applications or during flash crowds), problems concerning the network infrastructure (e.g. long geographical distances, network overloads, etc.) and a surprising fact is that many people tend to access the same piece of information repeatedly. Web caching has been recognized as the effective schemes to alleviate the service bottleneck, minimize the user access latency and reduce the network traffic. Consequently, in this paper we discuss an alternative way to tackle these problems with an implementation of Autonomous SPY tool. This tool is capable to self directed either to cache or not to cache the objects in a document based on the behavior of users' activities (number of object hits, script size of objects, and time to receive objects) in Internet based electronic services (e-services) for enhancing Web access.

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Section: Intelligent Web Caching Architecturementioning

confidence: 99%