Optimal Content Caching in Content-Centric Networks

Qazi, Faiza; Khalid, Osman; Rais, Rao Naveed Bin; Khan, Imran Ali; Khan, Atta ur Rehman

doi:10.1155/2019/6373960

Cited by 41 publications

(27 citation statements)

References 39 publications

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“…Banerjee B et al [20] used a greedy algorithm to select relatively highpopular content to cache, and the upstream cache took the missed downstream requests into account to maximize the hit ratio. Qazi F et al [21] proposed the opt-Cache mechanism to determine optimal content placement scheme under certain constraints, which established an optimization model related to minimizing the latency firstly and then proposed a heuristic method to obtain the optimal scheme. Zhao Y et al [11] used energy consumption, router load, hit ratio, and throughput as performance evaluation metrics to establish an optimization model, and then the cache allocation problem was transformed into a 0-1 knapsack problem.…”

Section: Related Workmentioning

confidence: 99%

An Ant Colony Inspired Cache Allocation Mechanism for Heterogeneous Information Centric Network

Zhou

et al. 2021

IEEE Access

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The cache allocation of in-network caching is fundamental to the quality of service in heterogeneous information centric network (ICN). The aim of the cache allocation is to efficiently allocate appropriate cache capacity to each router for storing content, avoiding the long-distance transmission cost from clients to servers. Existing works focus on the analysis of network topology. However, this way is computation-expensive for such analysis, at the same time it cannot reach a completely optimal network, due to its used multiple conflicting performance metrics. In this paper, we propose an ant colony inspired cache allocation mechanism (ACCM) for heterogeneous ICN, which is able to deal with the cache budget constraint. Specifically, we first construct an evaluation model of network performance, in terms of hit ratio, energy consumption, time latency, and throughput. Then, based on the evaluation model, we devise an ant colony inspired cache allocation mechanism, where the ICN topology system is mapped into an ant colony system and the cache allocation process is simulated by the ant colony foraging behavior. Our theoretical analysis shows that the proposed mechanism can converge to the best solution. Finally, we conduct simulations on AttMpls and TW Telecom topologies with real datasets in YouTube. Simulation results show the effectiveness and efficiency of the proposed mechanism on the simulation instances in terms of hit ratio, energy consumption, time latency, and throughput.

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Section: Related Workmentioning

confidence: 99%

An Ant Colony Inspired Cache Allocation Mechanism for Heterogeneous Information Centric Network

Zhou

et al. 2021

IEEE Access

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“…Table 3 shows the basic simulation settings. The in-depth analysis of these results is published in [48].…”

Section: Simulation Setupmentioning

confidence: 99%

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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“…Deploying a cache in a base station is an important implementation for mobile edge caching [4], [33], [34]. Among them, according to the location of the cache deployment, the base station cache can be divided into macro base station cache and small base station cache.…”

Section: B Network-based Caching 1) Base Station Cachementioning

confidence: 99%

Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing

Liu

Shi

2019

IEEE Access

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The rapid growth of mobile network traffic has brought great pressure and challenge to the current mobile network, and the backhaul network pressure is huge. The surge in mobile network traffic makes the mobile backhaul link under pressure and the bandwidth resources are very tight. The content is transmitted repeatedly which can increase the load of network resources. The current mobile network also adopts the end-to-end transmission mechanism, which makes a large number of popular content repeated transmission. The network delay is large, and the user experience is not so good. Thus, this study proposes to use mobile edge computing to solve this issue. To this issue, the deployment of computing and caching resources using mobile edge computing has become the focus of academic and industry attention. This technology can provide users the access to the nearest network and business services. In order to avoid network congestion and load balancing, the joint optimization of data caching and request forwarding is considered, and the random optimization model is used to limit network stability to minimize average transmission cost. This study also proposed an optimization technology to largely improve the performance of network. Using Liapunov optimization technology, the joint optimization problem is changed to linear planning problems, and the design of real-time caching and forwarding online algorithms. The results of the simulation experiment show that the algorithm can realize congestion avoidance and load balancing with reducing transmission cost. INDEX TERMS Edge computing, caching and forwarding, Lyapunov optimization, stability.

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Optimal Content Caching in Content-Centric Networks

Cited by 41 publications

References 39 publications

An Ant Colony Inspired Cache Allocation Mechanism for Heterogeneous Information Centric Network

An Ant Colony Inspired Cache Allocation Mechanism for Heterogeneous Information Centric Network

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

Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing

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