Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN
Since the content delivery unit over Information-Centric Networking (ICN) has shifted from files to the segments of a file named chunks, solely either file-level or chunk-level request probability is insufficient for ICN cache management. In this paper, a Request Expectation Index (RXI) based cache...
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doaj-3f1fb65efc8b4e98bb995132496df1d92020-11-25T01:49:47ZengMDPI AGFuture Internet1999-59032017-11-01948310.3390/fi9040083fi9040083Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICNHaipeng Li0Hidenori Nakazato1Syed Hassan Ahmed2Graduate School of Global Information and Telecommunication Studies, Waseda University, 66 bldg., 3-14-9 Ookubo, Shinjuku-ku, Tokyo 169-0072, JapanDepartment of Communications and Computer Engineering, Waseda University, 66 bldg., 3-14-9 Ookubo, Shinjuku-ku, Tokyo 169-0072, JapanDepartment of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USASince the content delivery unit over Information-Centric Networking (ICN) has shifted from files to the segments of a file named chunks, solely either file-level or chunk-level request probability is insufficient for ICN cache management. In this paper, a Request Expectation Index (RXI) based cache replacement algorithm for streaming content delivery is proposed. In this algorithm, RXI is introduced to serve as a fine-grained and unified estimation criteria of possible future request probability for cached chunks. RXI is customized for streaming content delivery by adopting both file-level and chunk-level request probability and considering the dynamically varied request status at each route as well. Compared to prior work, the proposed algorithm evicts the chunk with the minimum expectation of future request to maintain a high cache utilization. Additionally, simulation results demonstrate that the RXI-based algorithm can remarkably enhance the streaming content delivery performance and can be deployed in complex network scenarios. The proposed results validate that, by taking fine-grained request probability and request status into consideration, the customized in-network caching algorithm can improve the ICN streaming content delivery performance by high cache utilization, fast content delivery, and lower network traffic.https://www.mdpi.com/1999-5903/9/4/83information centric networkingin-network cachingcache replacementpopularity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haipeng Li Hidenori Nakazato Syed Hassan Ahmed |
spellingShingle |
Haipeng Li Hidenori Nakazato Syed Hassan Ahmed Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN Future Internet information centric networking in-network caching cache replacement popularity |
author_facet |
Haipeng Li Hidenori Nakazato Syed Hassan Ahmed |
author_sort |
Haipeng Li |
title |
Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN |
title_short |
Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN |
title_full |
Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN |
title_fullStr |
Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN |
title_full_unstemmed |
Request Expectation Index Based Cache Replacement Algorithm for Streaming Content Delivery over ICN |
title_sort |
request expectation index based cache replacement algorithm for streaming content delivery over icn |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2017-11-01 |
description |
Since the content delivery unit over Information-Centric Networking (ICN) has shifted from files to the segments of a file named chunks, solely either file-level or chunk-level request probability is insufficient for ICN cache management. In this paper, a Request Expectation Index (RXI) based cache replacement algorithm for streaming content delivery is proposed. In this algorithm, RXI is introduced to serve as a fine-grained and unified estimation criteria of possible future request probability for cached chunks. RXI is customized for streaming content delivery by adopting both file-level and chunk-level request probability and considering the dynamically varied request status at each route as well. Compared to prior work, the proposed algorithm evicts the chunk with the minimum expectation of future request to maintain a high cache utilization. Additionally, simulation results demonstrate that the RXI-based algorithm can remarkably enhance the streaming content delivery performance and can be deployed in complex network scenarios. The proposed results validate that, by taking fine-grained request probability and request status into consideration, the customized in-network caching algorithm can improve the ICN streaming content delivery performance by high cache utilization, fast content delivery, and lower network traffic. |
topic |
information centric networking in-network caching cache replacement popularity |
url |
https://www.mdpi.com/1999-5903/9/4/83 |
work_keys_str_mv |
AT haipengli requestexpectationindexbasedcachereplacementalgorithmforstreamingcontentdeliveryovericn AT hidenorinakazato requestexpectationindexbasedcachereplacementalgorithmforstreamingcontentdeliveryovericn AT syedhassanahmed requestexpectationindexbasedcachereplacementalgorithmforstreamingcontentdeliveryovericn |
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1725005066719461376 |