Energy-aware algorithms for network-assisted device-to-device content delivery networks

Sung, Jihoon; Lee, Dujeong; Bang, Yonghwan; Lee, Jongmin; Rhee, June-Koo Kevin

doi:10.1109/ictc.2015.7354587

Cited by 6 publications

(5 citation statements)

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“…Energy-aware algorithms have been received a lot of attention during the last years. Many of these algorithms aim at optimizing resource selection or scheduling problems [20,21,22], while others focus on cloud computing [23,24,25] or networking [26,27,28].…”

Section: Related Workmentioning

confidence: 99%

Towards Green Big Data at CERN

Niemi

Nurminen

Liukkonen³

et al. 2018

Future Generation Computer Systems

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High-energy physics studies collisions of particles traveling near the speed of light. For statistically significant results, physicists need to analyze a huge number of such events. One analysis job can take days and process tens of millions of collisions. Today the experiments of the large hadron collider (LHC) create 10 GB of data per second and a future upgrade will cause a tenfold increase in data. The data analysis requires not only massive hardware but also a lot of electricity. In this article, we discuss energy efficiency in scientific computing and review a set of intermixed approaches we have developed in our Green Big Data project to improve energy efficiency of CERN computing. These approaches include making energy consumption visible to developers and users, architectural improvements, smarter management of computing jobs, and benefits of cloud technologies. The open and innovative environment at CERN is an excellent playground for different energy efficiency ideas which can later find use in mainstream computing.

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Section: Related Workmentioning

confidence: 99%

Towards Green Big Data at CERN

Niemi

Nurminen

Liukkonen³

et al. 2018

Future Generation Computer Systems

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“…Additionally, in order to reduce the mobile network load, an exchange mechanism between caches is proposed as a peer-to-peer model together with a network aware redirection of user requests dynamically to the appropriate cache in order. Similarly, [9,10,11] proposed systems for the mobile users to share the existing content with others in the network. Additionally, [11] emphasized on the energy consumption in D2D communication for increasing the mobile device lifetimes.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, [9,10,11] proposed systems for the mobile users to share the existing content with others in the network. Additionally, [11] emphasized on the energy consumption in D2D communication for increasing the mobile device lifetimes. D2D communication studies mostly concentrate on the device contributions in a CDN to improve throughput, to increase the energy and spectral efficiency, delays and fairness.…”

Section: Related Workmentioning

confidence: 99%

fCDN:A Novel-Energy Efficient Content Delivery Architecture over Next Generation Systems

Öztoprak

2018

Politeknik Dergisi

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Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Oztoprak K, "fCDN:A novel-energy efficient content delivery architecture over next generation", Politeknik Dergisi, 21(4): 999-1006, (2018).Erişim linki (To link to this article): http://dergipark.gov.tr/politeknik/archive ABSTRACT Content Delivery in mobile networks are gaining popularity with an increasing demand by new mobile subscriptions. Reduction of the outgoing traffic is becoming an important issue, which is proposed to be reduced by a futuristic Content Delivery System (fCDN) for Mobile Operators. The proposed system utilizes the idea Device-to-Device Communication (D2D), with a dynamic resource allocation support of SDN-NFV based systems and the locating of a content. The approach is to use the content of a node as close as possible to a mobile user, which may reduce the cost of communication, and power consumption while increasing the Quality of Experience. While the energy consumption can be reduced by proposed model upto 8 fold according to the current state of the art, enabling the users to use 5G based systems, it reduces the energy consumption by a factor of 50 fold in the proposed solution. The simulation results demonstrate that the use of proposed method outperforms the current state of the art systems in power consumption.

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“…Power saving and content delivery efficiency are two important and conflicting aspects in D2D-based communication networks. Sung et al [9] contribution consists in two algorithms for packet routing and scheduling in order to balance between these two factors. Their simulation for small-scale networks ha shown the possibility of balancing between a longer D2D networking and a better content delivery performance.…”

Section: Related Workmentioning

confidence: 99%

“…However, even if the global energy consumption is often taken into account [9], [10], [11], individual battery levels are seldom taken into account. Nevertheless, if we look at a large set of mobile devices, e.g.…”

Section: Introductionmentioning

confidence: 99%

Toward Heterogeneity-Aware Device-to-Device Data Dissemination over Wi-Fi Networks

Hamidouche

Sens

Refauvelet³

2017

2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS)

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In the last few years, there has been an explosive growth of the number of mobile devices. This has come with a plethora of new applications and usages. Among these new usages, there are many occasions for which a content has to be disseminated to a large number of mobile devices (e.g., large-scale events providing a multi-media support, video streaming,. . .). To cope with network bandwidth limitations, new approaches, leveraging device-to-device (D2D) communications have emerged. Obviously, one of the main problem that D2D-based approaches have to face is the energy consumption. Furthermore, there is usually a huge heterogeneity among the devices: some may benefit of a good, fully charged battery while others may have only a couple of hours left before a power failure; the network bandwidth can also differ a lot. In this paper, based on a previous work, we propose an approach to take into account devices heterogeneity while disseminating data using D2D communications. Our simulations show that it is possible to spare the weakest batteries without wearing too much the good ones nor degrading too much the performance. Furthermore, taking into account the devices bandwidth capabilities can help to increase the dissemination speed.

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Energy-aware algorithms for network-assisted device-to-device content delivery networks

Cited by 6 publications

References 5 publications

Towards Green Big Data at CERN

Towards Green Big Data at CERN

fCDN:A Novel-Energy Efficient Content Delivery Architecture over Next Generation Systems

Toward Heterogeneity-Aware Device-to-Device Data Dissemination over Wi-Fi Networks

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