An Advanced LRU Cache Replacement Strategy for Content-Centric Network

2013 ◽  
Vol 462-463 ◽  
pp. 884-890
Author(s):  
Bin Tang ◽  
Guo Yin Zhang ◽  
Zhi Jing Xing ◽  
Yan Xia Wu ◽  
Xiang Hui Wang

In-network caching is one of the key aspects of content-centric networks (CCN), while the cache replacement algorithm of LRU does not consider the relation between the contents of the cache and its neighbor nodes in the cache replacement process, which bring worthless cache block in the cache and reduce the efficiency of the cache. An enhanced LRU cache replacement strategy has been proposed, which can replace the cache block in time that is not requested from other nodes and improve the rate of effective utilization of the cache space. Simulation results show that the A-LRU strategy increases cache hit rate, shortens the data request delay and improves overall network performance, verifies the validity of the A-LRU strategies in CCN.

2013 ◽  
Vol 433-435 ◽  
pp. 1702-1708
Author(s):  
Guo Yin Zhang ◽  
Bin Tang ◽  
Xiang Hui Wang ◽  
Yan Xia Wu

In-network caching is one of the key aspects of content-centric networks (CCN), while the cache replacement algorithm of LRU does not consider the relation between the cache contents and its neighbor nodes in the cache replacement process, which reduced the efficiency of the cache. In this paper, a Neighbor-Referencing Cooperative Cache Policy (NRCCP) in CCN has been proposed to check whether the neighbors have cached the content. Node will cache the content while none of its neighbors has cached it, therefore reduce redundancy of cached content and increase the variety of contents. Simulation results show that NRCCP has better performance, as the network path had more caching ability and more content popularity densely distributed.


2018 ◽  
Vol 188 ◽  
pp. 05004
Author(s):  
Christos Panagiotou ◽  
Christos Antonopoulos ◽  
Stavros Koubias

WSNs as adopted in current smart city deployments, must address demanding traffic factors and resilience in failures. Furthermore, caching of data in WSN can significantly benefit resource conservation and network performance. However, data sources generate data volumes that could not fit in the restricted data cache resources of the caching nodes. This unavoidably leads to data items been evicted and replaced. This paper aims to experimentally evaluate the prominent caching techniques in large scale networks that resemble the Smart city paradigm regarding network performance with respect to critical application and network parameters. Through respective result analysis valuable insights are provided concerning the behaviour of caching in typical large scale WSN scenarios.


2006 ◽  
Vol 11 (5) ◽  
pp. 1141-1146
Author(s):  
Zhu Jiang ◽  
Shen Qingguo ◽  
Tang Tang ◽  
Li Yongqiang

Sign in / Sign up

Export Citation Format

Share Document