Efficient caching resource allocation for network slicing in 5G core network

Jia, Qingmin; Xie, Renchao; Huang, Tao; Liu, Jiang; Liu, Yunjie

doi:10.1049/iet-com.2017.0539

Cited by 22 publications

(13 citation statements)

References 38 publications

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“…For network planning, a number of novel strategies were also developed to achieve energy savings [120]- [122]. An energy-aware strategy introduced a set of cloudlets as an intermediate layer in between the users and cloud servers [120].…”

Section: A Network Planning and Caching Node Selectionmentioning

confidence: 99%

“…For the efficient allotment of cache storage units in 5G networks, Jia et al [122] explored network slicing and increased overall revenue of the infrastructure providers. In addition, the authors in [123] utilized moving vehicles as caching nodes and exploited user mobility to reduce energy consumption of a CCN.…”

Section: A Network Planning and Caching Node Selectionmentioning

confidence: 99%

“…Revenue denotes the earnings of a network operator or service provider [122], [138]. The main source of revenue is the charges paid by the clients to avail network services (e.g., Netflix, Industrial automation).…”

Section: ) Revenuementioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching.

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Section: A Network Planning and Caching Node Selectionmentioning

confidence: 99%

Section: A Network Planning and Caching Node Selectionmentioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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“…Therefore, the international standards organization and equipment manufacturers now set out to promote the technology of network slicing which allows ISP to use SDN and NFV technologies to realize network virtual slicing, the division of several different service scenarios, and the provision of customized network service [29][30][31]. The 5G white paper proposed by Next Generation Mobile Networks (NGMN) that expounds 5G's network infrastructure in the future had included the concept of network slicing technology in order to support particular connection forms and use particular methods to deal with the communication services of control/user-plane [32].…”

Section: Background and Related Workmentioning

confidence: 99%

Micro Operator Design Pattern in 5G SDN/NFV Network

Tseng

Huang

Tseng

et al. 2018

Wireless Communications and Mobile Computing

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The trend of 5G mobile networks is increasing with the number of users and the transmission rate. Many operators are turning to small cell and indoor coverage of telecom network service. With the emerging Software Defined Networking and Network Function Virtualization technologies, Internet Service Provider is able to deploy their networks more flexibly and dynamically. In addition to the change of the wireless mobile network deployment model, it also drives the development trend of the Micro Operator ( O). Telecom operators can provide regional network services through public buildings, shopping malls, or industrial sites. In addition, localized network services are provided and bandwidth consumption is reduced. The distributed architecture of O tackles computing requirements for applications, data, and services from cloud data center to edge network devices or to the micro data center of O. The service model of O is capable of reducing network latency in response to the low-latency applications for future 5G edge computing environment. This paper addresses the design pattern of 5G micro operator and proposes a Decision Tree Based Flow Redirection (DTBFR) mechanism to redirect the traffic flows to neighbor service nodes. The DTBFR mechanism allows different Os to share network resources and speed up the development of edge computing in the future.

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“…Recently, the uninterruptedly increase in the data traffic as a result of the enormous volume of applications such as high-definition streaming media, internet of things, 5G, cloud computing [1] etc., are very influential and have the potential for data transmission capacity development in or between the datacentres and highperforming computers. It is estimated that inside the datacentres, data communication would be optical and this will require an optical transmission link with a size of 400 Gb/s or more [2][3][4].…”

Section: Introductionmentioning

confidence: 99%