PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks

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PPCS : A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks. / Nguyen, Quang Ngoc; Liu, Jiang; Pan, Zhenni; Benkacem, Ilias; Tsuda, Toshitaka; Taleb, Tarik; Shimamoto, Shigeru; Sato, Takuro.

In: Sensors (Basel, Switzerland), Vol. 19, No. 3, 694, 01.02.2019.

Research output: Contribution to journalArticleScientificpeer-review

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Nguyen, Quang Ngoc ; Liu, Jiang ; Pan, Zhenni ; Benkacem, Ilias ; Tsuda, Toshitaka ; Taleb, Tarik ; Shimamoto, Shigeru ; Sato, Takuro. / PPCS : A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks. In: Sensors (Basel, Switzerland). 2019 ; Vol. 19, No. 3.

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@article{6daf919017604f3ea92d37a1542101e6,
title = "PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks",
abstract = "This article proposes a novel chunk-based caching scheme known as the Progressive Popularity-Aware Caching Scheme (PPCS) to improve content availability and eliminate the cache redundancy issue of Information-Centric Networking (ICN). Particularly, the proposal considers both entire-object caching and partial-progressive caching for popular and non-popular content objects, respectively. In the case that the content is not popular enough, PPCS first caches initial chunks of the content at the edge node and then progressively continues caching subsequent chunks at upstream Content Nodes (CNs) along the delivery path over time, according to the content popularity and each CN position. Therefore, PPCS efficiently avoids wasting cache space for storing on-path content duplicates and improves cache diversity by allowing no more than one replica of a specified content to be cached. To enable a complete ICN caching solution for communication networks, we also propose an autonomous replacement policy to optimize the cache utilization by maximizing the utility of each CN from caching content items. By simulation, we show that PPCS, utilizing edge-computing for the joint optimization of caching decision and replacement policies, considerably outperforms relevant existing ICN caching strategies in terms of latency (number of hops), cache redundancy, and content availability (hit rate), especially when the CN's cache size is small.",
keywords = "cache optimization, cache redundancy, caching policies, edge computing, Future Internet (FI), information-centric networking (ICN), named-data networking (NDN), network design",
author = "Nguyen, {Quang Ngoc} and Jiang Liu and Zhenni Pan and Ilias Benkacem and Toshitaka Tsuda and Tarik Taleb and Shigeru Shimamoto and Takuro Sato",
note = "| openaire: EC/H2020/723172/EU//5GPagoda",
year = "2019",
month = "2",
day = "1",
doi = "10.3390/s19030694",
language = "English",
volume = "19",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

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TY - JOUR

T1 - PPCS

T2 - A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks

AU - Nguyen, Quang Ngoc

AU - Liu, Jiang

AU - Pan, Zhenni

AU - Benkacem, Ilias

AU - Tsuda, Toshitaka

AU - Taleb, Tarik

AU - Shimamoto, Shigeru

AU - Sato, Takuro

N1 - | openaire: EC/H2020/723172/EU//5GPagoda

PY - 2019/2/1

Y1 - 2019/2/1

N2 - This article proposes a novel chunk-based caching scheme known as the Progressive Popularity-Aware Caching Scheme (PPCS) to improve content availability and eliminate the cache redundancy issue of Information-Centric Networking (ICN). Particularly, the proposal considers both entire-object caching and partial-progressive caching for popular and non-popular content objects, respectively. In the case that the content is not popular enough, PPCS first caches initial chunks of the content at the edge node and then progressively continues caching subsequent chunks at upstream Content Nodes (CNs) along the delivery path over time, according to the content popularity and each CN position. Therefore, PPCS efficiently avoids wasting cache space for storing on-path content duplicates and improves cache diversity by allowing no more than one replica of a specified content to be cached. To enable a complete ICN caching solution for communication networks, we also propose an autonomous replacement policy to optimize the cache utilization by maximizing the utility of each CN from caching content items. By simulation, we show that PPCS, utilizing edge-computing for the joint optimization of caching decision and replacement policies, considerably outperforms relevant existing ICN caching strategies in terms of latency (number of hops), cache redundancy, and content availability (hit rate), especially when the CN's cache size is small.

AB - This article proposes a novel chunk-based caching scheme known as the Progressive Popularity-Aware Caching Scheme (PPCS) to improve content availability and eliminate the cache redundancy issue of Information-Centric Networking (ICN). Particularly, the proposal considers both entire-object caching and partial-progressive caching for popular and non-popular content objects, respectively. In the case that the content is not popular enough, PPCS first caches initial chunks of the content at the edge node and then progressively continues caching subsequent chunks at upstream Content Nodes (CNs) along the delivery path over time, according to the content popularity and each CN position. Therefore, PPCS efficiently avoids wasting cache space for storing on-path content duplicates and improves cache diversity by allowing no more than one replica of a specified content to be cached. To enable a complete ICN caching solution for communication networks, we also propose an autonomous replacement policy to optimize the cache utilization by maximizing the utility of each CN from caching content items. By simulation, we show that PPCS, utilizing edge-computing for the joint optimization of caching decision and replacement policies, considerably outperforms relevant existing ICN caching strategies in terms of latency (number of hops), cache redundancy, and content availability (hit rate), especially when the CN's cache size is small.

KW - cache optimization

KW - cache redundancy

KW - caching policies

KW - edge computing

KW - Future Internet (FI)

KW - information-centric networking (ICN)

KW - named-data networking (NDN)

KW - network design

UR - http://www.scopus.com/inward/record.url?scp=85061401826&partnerID=8YFLogxK

U2 - 10.3390/s19030694

DO - 10.3390/s19030694

M3 - Article

VL - 19

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 3

M1 - 694

ER -

ID: 32217408