Proactive Content Caching Strategy with Router Reassignment in Content Centric Networks Based SDN

Fekih, Amna; Gaied, Sonia; Youssef, Habib

doi:10.1109/soca.2018.00018

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…Fekih et al. [132] presented a proactive caching strategy named learning based cooperative caching (LECC) for CCN networks based SDN architecture. Caching resources can be monitored by SDN controllers, which can fully exploit both on‐path and off‐path caching by cooperative caching domain and global network view.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The most of investigations in “SDN over ICN” theoretically analyzed the proposed schemes. Notably, in [132, 151] and [162], these studies theoretically derived and proved cache‐related algorithms, and modelled the feasibility of the scheme. This theory proof supports the practical possibility of ICN deployment.…”

Section: Maturity Indexmentioning

confidence: 99%

“…CCNFlow simplified the content upgrade and depends on the popularity of contents, which is planned to implement in a distributed network and multi-domains environment. Fekih et al[132] presented a proactive caching strategy named learn-ing based cooperative caching (LECC) for CCN networks based SDN architecture. Caching resources can be monitored by SDN controllers, which can fully exploit both on-path and off-path caching by cooperative caching domain and global network view.…”

mentioning

confidence: 99%

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Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

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As a promising architecture of next‐generation network, software defined‐information centric network (SD‐ICN) inherits the advantages of software defined network (SDN) and information‐centric network (ICN) to enable flexible and fast content retrieval, especially in the current era of artificial intelligence. However, the existing researches mainly focus on a single respective in this field, which motivates in comprehensively providing a forward‐looking guidance and development direction for scholars and engineers. To this end, the latest developments of SD‐ICN is presented. First, the widely‐accepted concepts and impacts on traditional networks are introduced. Second, the shortcomings of SDN and ICN over conventional networks are respectively analyzed to illustrate the necessity of SD‐ICN. Third, based on extensive analysis and deep deliberation, a methodical taxonomy for existing combination studies is proposed. They are divided into SDN over ICN, ICN over SDN, and mutual immersive pattern. Fourth, the performances of three integration categories are compared and the limitations of related works are highlighted. Fifth, the maturity index from six development indicators are evaluated. Further, the maturity and practicality of these schemes are generalized. Based on the above studies and comparisons, the lessons learned by SDN and ICN developments are concluded. Finally, future research directions and opportunities are discussed for the readers.

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Section: Performance Evaluationmentioning

confidence: 99%

Section: Maturity Indexmentioning

confidence: 99%

mentioning

confidence: 99%

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Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

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“…For the cache hit rate parameter improvement, Ale, 47 Hao, 53 Qi, 58 Kirlin, 63 and Zong 67 used a neural network. Hou 45 and Fekih 52 utilized transfer learning. Hou, 54 Thar, 55 and Yu 57 used deep learning types.…”

Section: Proactive Content Caching and Content Caching In The Edge Co...mentioning

confidence: 99%

“…Fekih et al 52 introduced a proactive caching strategy named learning‐based cooperative caching, considering the content‐centric networks and software‐defined networks. These are suitable environments for mobile networks, IoT, and cloud computing.…”

Section: Proactive Content Caching and Content Caching In The Edge Co...mentioning

confidence: 99%

Proactive content caching in edge computing environment: A review

2021

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Edge computing environment provides processing capability and computing at the network edge and close to users. Edge equipment includes small data centers that locally perform process and content delivery. Therefore, edge equipment management has received much attention due to the rapid growth of information and resources limitations. The content caching and proactive caching techniques are management methods of edge equipment resources. We recently witnessed the development of proactive caching mechanisms that have a crucial enabler in improving heavy traffic, energy, and bandwidth. Also, it has huge potential to increase the quick response time to users' requests that today, these services are demanded by many users and applications. This article prepares a systematic literature review content caching approach in the edge computing environment. The purpose of this study is to survey the research done on the proactive caching strategies in the edge computing environment to identify subjects that must be emphasized more in current and future research paths. This research has studied 71 articles divided into three classes: model‐based, machine‐learning‐based, and heuristic‐based. Next, we discuss content caching approaches based on critical factors such as performance metrics, case studies, utilized techniques, assessment tools, advantages, and disadvantages. Finally, open issues and challenges are presented, and the survey is concluded.

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