Next Article in Journal
An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms
Next Article in Special Issue
Offloading and Transmission Strategies for IoT Edge Devices and Networks
Previous Article in Journal
Energy-Efficient IoT Service Brokering with Quality of Service Support
Previous Article in Special Issue
Cost-Effective Edge Server Placement in Wireless Metropolitan Area Networks
Open AccessArticle

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

1
Department of Communications and Computer Engineering, Faculty of Science and Engineering, Waseda University, Shinjuku-ku, Tokyo 169-0051, Japan
2
Global Center for Science and Engineering, Faculty of Science and Engineering, Waseda University, Shinjuku-ku, Tokyo 169-0051, Japan
3
Department of Communications and Networking, Aalto University, 02150 Espoo, Finland
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 694; https://doi.org/10.3390/s19030694
Received: 12 December 2018 / Revised: 1 February 2019 / Accepted: 2 February 2019 / Published: 8 February 2019
(This article belongs to the Special Issue Edge/Fog/Cloud Computing in the Internet of Things)
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. View Full-Text
Keywords: information-centric networking (ICN); cache redundancy; caching policies; cache optimization; edge computing; named-data networking (NDN); Future Internet (FI); network design information-centric networking (ICN); cache redundancy; caching policies; cache optimization; edge computing; named-data networking (NDN); Future Internet (FI); network design
Show Figures

Figure 1

MDPI and ACS Style

Nguyen, Q.N.; Liu, J.; Pan, Z.; Benkacem, I.; Tsuda, T.; Taleb, T.; Shimamoto, S.; Sato, T. PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks. Sensors 2019, 19, 694.

AMA Style

Nguyen QN, Liu J, Pan Z, Benkacem I, Tsuda T, Taleb T, Shimamoto S, Sato T. PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks. Sensors. 2019; 19(3):694.

Chicago/Turabian Style

Nguyen, Quang Ngoc; Liu, Jiang; Pan, Zhenni; Benkacem, Ilias; Tsuda, Toshitaka; Taleb, Tarik; Shimamoto, Shigeru; Sato, Takuro. 2019. "PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks" Sensors 19, no. 3: 694.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop