Caching in Information-Centric Networking: Strategies, Challenges, and Future Research Directions

Din, Ikram Ud; Hassan, Suhaidi; Khan, Muhammad Khurram; Guizani, Mohsen; Ghazali, Osman; Habbal, Adib

doi:10.1109/comst.2017.2787609

Cited by 148 publications

(76 citation statements)

References 105 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The associated BS ( ) of a data flow depends on the requested file and the location . Contents can be identified by naming contents at the network layer [8]. With positioning techniques in cellular networks [54], the locations of users can also be easily obtained.…”

Section: Implementation and Complexitymentioning

confidence: 99%

“…This issue is further aggravated by the limited-capacity backhaul links of SBSs. Borrowing the concept of information-centric networking in wired networks [8], caching at the wireless edge [9][10][11][12] has been proposed to reduce the backhaul usage via equipping BSs and mobile devices with low-cost cache units. In the cache-enabled cellular networks, majority 2 Wireless Communications and Mobile Computing of requested contents can be directly obtained from local storage, nearby devices or BSs, which significantly alleviates the backhaul congestion and reduces the download delay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint Optimization of Content Placement and User Association in Cache‐Enabled Heterogeneous Cellular Networks Based on Flow‐Level Models

Ren

Zhao

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Cache-enabled heterogeneous cellular networks (HCNs) have been investigated extensively to alleviate backhaul congestion and reduce content delivery delay. In this paper, we jointly optimize content placement and user association to minimize the average content delivery delay in cache-enabled HCNs based on flow-level models. This formulation considers (1) different timescales of content placement and content delivery, (2) locality of content popularity, and (3) the heterogeneity of spatial traffic distribution, which are often neglected in existing researches. The joint optimization problem is formulated as a mixed integer nonlinear programming problem in load-non-coupled and load-coupled models, respectively. We decouple this problem into two interrelated subproblems and resolve them individually. For the user association problem under a given content placement situation, we propose a content-level selective association algorithm, which allows the requests for different contents at the same location to connect to different base stations (BSs). In addition, we propose a greedy content caching algorithm to add contents to the caches of BSs in an iterative manner. These two algorithms are alternately executed until the caches of all the BSs are filled to capacity. Simulation results show that the proposed algorithm achieves better performance in terms of average delay and backhaul usage compared with traditional content placement and user association approaches.

show abstract

Section: Implementation and Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Content Placement and User Association in Cache‐Enabled Heterogeneous Cellular Networks Based on Flow‐Level Models

Ren

Zhao

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The signaling load is expected to increase almost 50% faster than the growth in data traffic [2]. Driven by this massive wireless data traffic increase, efficient network management mechanisms have been revealed as one of the major challenges in next-generation mobile networks [3,4]. These mechanisms must be able to dynamically control and allocate network resources to provide flexibility in the new 5G ecosystem [5].…”

Section: Introductionmentioning

confidence: 99%

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

Calle-Cancho¹,

Mendoza-Rubio

González-Sánchez³

et al. 2020

COMSIS J

View full text Add to dashboard Cite

The number of mobile subscribers, as well as the data traffic generated by them, is increasing exponentially with the growth of wireless smart devices and the number of network services that they can support. This significant growth is pushing mobile network operators towards new solutions to improve their network performance and efficiency. Thus, the appearance of Software Defined Networking (SDN) can overcome the limitations of current deployments through decoupling the network control plane from the data plane, allowing higher flexibility and programmability to the network. In this context, the process of handling user mobility becomes an essential part of future mobile networks. Taking advantage of the benefits that SDN brings, in this article we present a novel mobility management solution. This proposal avoids the use of IP-IP tunnels and it adds the dynamic flow management capability provided by SDN. In order to analyse performance, an analytical model is developed to compare it with NB-DMM (Network-based DMM), one of the main DMM (Distributed Mobility Management) solutions. Additionally, performance is also evaluated with an experimental testbed. The results allow handover latency in real scenarios and numerical investigations to be measured, and also show that SR-DMM achieves better efficiency in terms of signaling and routing cost than NB-DMM solution.

show abstract

“…In order to overcome the well-known shortcomings of the existing Internet (such as lower transmission efficiency, content distribution, and file sharing), the future network has become a research hotspot, and the ICN is considered as one of the most promising solutions in many scenarios [3][4][5]. Cache deployment and content caching is applied to ICN [6][7][8], and nodes are allowed to cache the transferred The goal is to minimize the network energy consumption while the cache performance is improved. The energy consumption problem of the ICN cache placement problem is mainly studied in this paper.…”

Section: Introductionmentioning

confidence: 99%

A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking

2019

View full text Add to dashboard Cite

With the rapid development of cloud computing, big data, and Internet of Things, Information-Centric Networking (ICN) has become a novel hotspot in the field of future Internet architecture, and new problems have appeared. In particular, more researchers consider information naming, delivery, mobility, and security in ICN. In this paper, we mainly focus on the cache placement strategy and network performance of ICN, and propose a cache placement strategy with energy consumption optimization. In order to optimize the energy consumption of the ICN, the best cache placement node is selected from the view of users. First of all, the distance sequence of different nodes arriving at each user is obtained in terms of detection results of network distribution channels, and the corresponding energy consumption of information distribution is obtained from the distance sequence. Secondly, the reward function of the cache node is derived using two factors of energy consumption, which includes the additional energy consumed by the change of the cache node and the energy consumption of the content distribution. Finally, we construct the optimal stopping theory problem to solve the maximum expected energy saving. In simulations, we give the comparison results of energy savings, caching benefit, and delivery success rate. The results show that the strategy proposed by this paper has higher delivery success rate and lower energy consumption than other strategies.

show abstract

Caching in Information-Centric Networking: Strategies, Challenges, and Future Research Directions

Cited by 148 publications

References 105 publications

Joint Optimization of Content Placement and User Association in Cache‐Enabled Heterogeneous Cellular Networks Based on Flow‐Level Models

Joint Optimization of Content Placement and User Association in Cache‐Enabled Heterogeneous Cellular Networks Based on Flow‐Level Models

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking

Contact Info

Product

Resources

About