Cache optimizatio Hot-Point Proxy (HPProxy) using Dual Cache Replacement Policy

Ponnusamy, Samydurai; Kathikeyan, E

doi:10.1109/iccsp.2012.6208404

Cited by 1 publication

(4 citation statements)

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“…The selection of a victim object is carried out by using any one of the replacement policies, as discussed in section I. In our previous work, we used the Dual-Cache-Replacement Policy (DCRP) [11] on the HPProxy model. The DCRP model applies the replacement policy on some of the existing objects at three levels based on hot-point levels, such as major, sublevel, and non-hot-point.…”

Section: Related Workmentioning

confidence: 99%

“…The WRCP method is applied on our earlier developed proxy caching model HPProxy [1], which uses the DCRP [11] cache replacement policy for cache optimization. In HPProxy, the video files are divided into fixed length individual playable units, each referred to as a group of pictures (GOP).…”

Section: System Modelmentioning

confidence: 99%

“…Singlefactor replacement policies include LFU, LRU, FIFO, and RAND [16]- [21]. Multifactor replacement policies comprise many factors, such as access frequency, recency, latency, and size, which are called weighted functions [3]- [5], [11]- [15], [22]- [26].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the cache must be optimized or freed from existing objects to accommodate new incoming objects. The optimization can be done with cache replacement polices [4], [5], [11]- [26]. Most cache replacement policies select an entire cached object or part of the cached object as a victim and apply the policy to it.…”

Section: Introductionmentioning

confidence: 99%

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Cache Optimization on Hot-Point Proxy Caching Using Weighted-Rank Cache Replacemnt Policy

Ponnusamy¹

2013

ETRI J

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The development of proxy caching is essential in the area of video‐on‐demand (VoD) to meet users' expectations. VoD requires high bandwidth and creates high traffic due to the nature of media. Many researchers have developed proxy caching models to reduce bandwidth consumption and traffic. Proxy caching keeps part of a media object to meet the viewing expectations of users without delay and provides interactive playback. If the caching is done continuously, the entire cache space will be exhausted at one stage. Hence, the proxy server must apply cache replacement policies to replace existing objects and allocate the cache space for the incoming objects. Researchers have developed many cache replacement policies by considering several parameters, such as recency, access frequency, cost of retrieval, and size of the object. In this paper, the Weighted‐Rank Cache replacement Policy (WRCP) is proposed. This policy uses such parameters as access frequency, aging, and mean access gap ratio and such functions as size and cost of retrieval. The WRCP applies our previously developed proxy caching model, Hot‐Point Proxy, at four levels of replacement, depending on the cache requirement. Simulation results show that the WRCP outperforms our earlier model, the Dual Cache Replacement Policy.

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Section: Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%