On the effects of content compression on Web cache performance

2004 ◽  
Author(s):  
S. Ahuja ◽  
Tao Wu ◽  
S. Dixit
Keyword(s):  
Cache Performance ◽  
Web Cache

Impact of traffic distribution on web cache performance

2015 ◽  
Vol 10 (3) ◽  
pp. 202 ◽  
Author(s):  
Manuel Gómez Zotano ◽  
Jorge Gómez Sanz ◽  
Juan Pavón
Keyword(s):  
Cache Performance ◽  
Traffic Distribution ◽  
Web Cache

A Prefetching Algorithm for Improving Web Cache Performance

2006 ◽  
Vol 6 (15) ◽  
pp. 3122-3127 ◽  
Author(s):  
C. Umapathi ◽  
J. Raja .
Keyword(s):  
Cache Performance ◽  
Web Cache

Web Cache Replacement with the Repairable LRU Algorithm

2015 ◽  
Vol 10 (6) ◽  
pp. 620 ◽  
Author(s):  
Prapai Sridama ◽  
Somchai Prakancharoen ◽  
Nalinpat Porrawatpreyakorn
Keyword(s):  
Cache Replacement ◽  
Web Cache

Design of an Intelligent Data Cache with Replacement Policy

2019 ◽  
Vol 10 (2) ◽  
pp. 87-107
Author(s):  
B. Shameedha Begum ◽  
N. Ramasubramanian
Keyword(s):  
Real Time ◽  
Replacement Policy ◽  
Data Cache ◽  
Cache Performance ◽  
Performance Requirements ◽  
Novel Approach ◽  
Reconfigurable Caches ◽  
Real Time Applications ◽  
Hard Real Time ◽  
Replacement Algorithms

Embedded systems are designed for a variety of applications ranging from Hard Real Time applications to mobile computing, which demands various types of cache designs for better performance. Since real-time applications place stringent requirements on performance, the role of the cache subsystem assumes significance. Reconfigurable caches meet performance requirements under this context. Existing reconfigurable caches tend to use associativity and size for maximizing cache performance. This article proposes a novel approach of a reconfigurable and intelligent data cache (L1) based on replacement algorithms. An intelligent embedded data cache and a dynamic reconfigurable intelligent embedded data cache have been implemented using Verilog 2001 and tested for cache performance. Data collected by enabling the cache with two different replacement strategies have shown that the hit rate improves by 40% when compared to LRU and 21% when compared to MRU for sequential applications which will significantly improve performance of embedded real time application.

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