Distributed Web caching

Wijesundara, Malitha; Tay, T.T.

doi:10.1109/iccs.2002.1183311

Cited by 3 publications

(2 citation statements)

References 60 publications

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“…In distributed caching no intermediate caches are set up and there are only institution caches at the edge of the network which cooperate to serve each other"s misses [27,28,29].…”

Section: Distributed Cachingmentioning

confidence: 99%

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

2017

IJSR

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Increasing popularity of the World Wide Web over the past few years has imposed a significant traffic burden upon the internet. The continued increase in demand for objects on the internet causes severe overloading in many sites and network links. Web traffic reduction techniques are mandatory for accessing the websites efficiently. Data caching and prefetching techniques play a key role in improving the web performance in mobile information systems. Generally the mobile devices have less amount of memory storage than computers. Therefore the key challenge in prefetching is to determine 'what to prefetch' so that the improvement in performance will be enhanced. In a mobile environment the mobility brings the new challenges to the prefetch problem.

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“…In distributed caching no intermediate caches are set up and there are only institution caches at the edge of the network which cooperate to serve each other"s misses [27,28,29].…”

Section: Distributed Cachingmentioning

confidence: 99%

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

2017

IJSR

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“…Wijesundara et al [15] proposes a feature in distributed web caching concept where each client acts as a cache server and share its contents with the neighbouring node. Here Hit rate and Miss rate are considered but no discussion on cache size and latency time is done.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Web Caching Framework for Reduction of Web Latency

Khemka¹,

Jain²

2014

IJRET

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Distributed web caching and Hierarchical web caching are two important techniques to minimize the problem of web latency. Web latency is the time taken by user in retrieving the web documents. The main performance problems with distributed caching are longer connection times and overhead such as resolution delay, queuing delay etc in used bandwidth. Whereas the main issue with Hierarchical caching is longer transmission times. So there is a need of a sophisticated combination of a hybrid scheme to effectively reduce web latency. Studies show that combination of Hierarchical and Distributed web caching reduces transmission time and connection time thereby reducing the overall latency time. Our results show that we can improve hit ratio from Hierarchical and Distributed caching strategy by 55% and 42% respectively.

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An object replacement strategy for global performance in distributed Web caching

Wijesundara

Tay

International Conference on Communication Technology Proceedings, 2003. ICCT 2003.

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Abstruct-The novel feature in the Distributed WebCaching System we developed is that every client node could act as a cache server and share its cache with neighboring nodes. In this paper we address the problem of object replacement in distributed web caches. The problem is a version of the knapsack problem which is known to be NPhard. We propose a heuristic based approach to the problem termed Distributed Web Caching for Global Performance (DWCG). Using event driven simulations, we show that in a Distributed Web Caching environment, the proposed strategy can outperform conventional uncooperative caching strategies such as LFU, LRU and GDSF in terms of LSR, HR and BHR.

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Distributed Web caching

Cited by 3 publications

References 60 publications

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

A Survey on Web Pre-Fetching and Web Caching Techniques for Latency Optimization in Mobile Environment

Hybrid Web Caching Framework for Reduction of Web Latency

An object replacement strategy for global performance in distributed Web caching

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