User-behavior Driven Video Caching in Content Centric Network

Liu, Zhi; Ji, Yusheng; Jiang, Xiaolan; Tanaka, Yoshiaki

doi:10.1145/2984356.2985227

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…In [33], the authors studied the user-behavior driven CCN caching and jointly investigated video popularity and video drop ratio. It has been said that this is the first paper taking the video drop ratio into consideration in CCN caching policy design.…”

Section: B Data Allocation Approachesmentioning

confidence: 99%

“…A caching policy similar to the one mentioned in [33] has been proposed in [34], which maximizes cache utilization and improves content diversity in networks by content popularity and node level matched based caching probability. Three parameters including hop account to the requester, betweenness centrality and cache space replacement rate are considered for evaluation of caching property of nodes along the delivery path.…”

Section: B Data Allocation Approachesmentioning

confidence: 99%

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Study and analysis of mobility, security, and caching issues in CCN

Rais¹,

Khalid²

2020

IJECE

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Existing architecture of Internet is IP-centric, having capability to cope with the needs of the Internet users. Due to the recent advancements and emerging technologies, a need to have ubiquitous connectivity has become the primary focus. Increasing demands for location-independent content raised the requirement of a new architecture and hence it became a research challenge. Content Centric Networking (CCN) paradigm emerges as an alternative to IP-centric model and is based on name-based forwarding and in-network data caching. It is likely to address certain challenges that have not been solved by IP-based protocols in wireless networks. Three important factors that require significant research related to CCN are mobility, security, and caching. While a number of studies have been conducted on CCN and its proposed technologies, none of the studies target all three significant research directions in a single article, to the best of our knowledge. This paper is an attempt to discuss the three factors together within context of each other. In this paper, we discuss and analyze basics of CCN principles with distributed properties of caching, mobility, and secure access control. Different comparisons are made to examine the strengths and weaknesses of each aforementioned aspect in detail. The final discussion aims to identify the open research challenges and some future trends for CCN deployment on a large scale.

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Section: B Data Allocation Approachesmentioning

confidence: 99%

Section: B Data Allocation Approachesmentioning

confidence: 99%

Study and analysis of mobility, security, and caching issues in CCN

Rais¹,

Khalid²

2020

IJECE

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“…The initial work on ICN, however, is mostly restricted to the upper layer and its applications for real time transmission and quality of experience (QoE) maintenance [12]. For instance, the proactive caching for wireless communications applications was investigated in the study of [13], in which the prototype system with hybrid text and contentcentric networking/named data networking (CCN/NDN) [11] protocols was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Long distance scenario. The calculation is according to(12) and(13) with simulation parameters given byTable 1.…”

mentioning

confidence: 99%

Energy Efficiency Analysis of ICN Assisted 5G IoT System

Zhang

Zhou

Zhu

et al. 2017

Wireless Communications and Mobile Computing

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Other than separately investing the energy efficiency (EE) merits of information-centric networking’s (ICN’s) caching and sharing (CS) mechanism in wireless communications, here we comprehensively compare the EE performances of ICN’s CS mechanism in different scenarios. A modified system model is first proposed while introducing the CS mechanism into the in-network router, base station (BS), and neighboring user sides. Afterwards, the system achievable sum rate as well as the power consumptions in wireless and wired sections is investigated. The EE performances of different scenarios are finally obtained by dividing the achievable sum rate by the consumed power. While comparing the three scenarios, numerical results demonstrate that the optimal place to cache the content is mainly determined by the distance and hub number of the core routers that passed.

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“…Liu et al [58] Xu et al [107] designed the popularity-driven caching location and searching (P-CLS) approach which considers router's position and video's popularity. However, similar to LCD [47], once a hit occurs, the hit chunk will be pulled down from the upstream router to the downstream router.…”

Section: Thesis Organizationmentioning

confidence: 99%

Performance Improvements of In-Network Caching in ICN-Based Networks

Zhang¹

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Pursing my Ph.D. degree in Canada was an exciting and amazing journey for me, and it started when I wrote my first email to my supervisor, Prof. Chung-Horng Lung. Hence, I would like to begin this section by expressing my deeply heartfelt thanks and gratitude to him, not only for his wholehearted guidance on my life as a student, but also for his profound influence on my values as a human being. From him, I learned how to perform research with rigorousness, and how to treat others with patience. Without his encouragements and supports, I would not have such a wonderful study. I would also like to thank my co-supervisor, Prof. Marc St-Hilaire, for his valuable comments and guidance. The academic writing skills and research methodologies he taught me helped me during my entire Ph.D. study and will continue to benefit my future work. More importantly, his rigorous attitude to academic is the most valuable treasure that I learned from him. Special thanks to Prof. Ioannis Lambadaris for offering me the internship opportunity at Ericsson. Besides, his immense knowledge and kind suggestions not only improve the quality of the research but also broaden my mind for my future career. I would also like to thank the committee members, Prof. Amiya Nayak, and Prof. F. Richard Yu for their helpful and insightful questions and suggestions. Many thanks also go to my friends Andy Yin,

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User-behavior Driven Video Caching in Content Centric Network

Cited by 13 publications

References 2 publications

Study and analysis of mobility, security, and caching issues in CCN

Study and analysis of mobility, security, and caching issues in CCN

Energy Efficiency Analysis of ICN Assisted 5G IoT System

Performance Improvements of In-Network Caching in ICN-Based Networks

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