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Energy Consumption Evaluation of ICN Toward Power-Saving Vid

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导读: Energy Consumption Evaluation of ICN Toward Power-Saving Video Delivery Daiki Aoki?, Sakiko Takenaka?, Kenji Kanai?, Jiro Katto?, Hidenori Nakazato? and Marie Hirose??Graduate School of Fundamental Science and Engineering, Waseda Universit

Energy Consumption Evaluation of ICN Toward Power-Saving Video Delivery Daiki Aoki?, Sakiko Takenaka?, Kenji Kanai?, Jiro Katto?, Hidenori Nakazato? and Marie Hirose??Graduate School of Fundamental Science and Engineering, Waseda University, Japan ? Panasonic Advanced Technology Development Co., Ltd, Hiroshima, Japan

E-Mail: d_aoki@2783650d8bd63186bdebbc0bm.waseda.ac.jp

Abstract—Inf rmati n Centric Netw rking (ICN) is a new networking paradigm in which the network provides users with named content, instead of communication channels between hosts. However, many issues, such as naming, routing, resource control, and security, still need to be reso lved befo re it can be realized practically. Further, the energy efficiency o f ICNs has no t been sufficiently co nsidered. In this study, we evaluate the energy co nsumptio n o f an ICN netwo rk by first measuring the po wer co nsumptio n o f actual PCs/smartpho nes and co nstructing an energy co nsumptio n mo del. Then, by using the mo del and the simulato r ndnSIM, we calculate the energy co nsumed by the netwo rk. We also evaluate the energy co nsumed fo r video delivery, with a view toward power-saving video delivery.

Keywords- ICN, CCN, Energy, Power Consumption

I.I NTRODUCTION

Recently, mobile traffic in networks has witnessed exponential growth. Moreover, Cisco has announced that mobile video traffic, in particular, has the largest growth among mobile application traffic and will generate over 69 percent of mobile traffic by 2019 [3] because video content has substantially higher bit-rates than other mobile content types. We believe that I nformation Centric Networking (I CN), such as Content Centric Networking (CCN) [2] and Named Data Networking (NDN) [1], is a promising solution for dealing with this traffic explosion because of its new network paradigm. The main concept underlying ICN is the provision of content-based routing, instead of I P-based routing, and an in-network caching mechanism. These unique features enable users to obtain requested content with lower network latencies because the content can be delivered to them from the nearest cached node, instead of the origin content servers [7]. Thus, ICN can reduce network traffic primarily in core networks. In addition, this traffic reduction is expected to contribute significantly to green networking.

To verify whether ICN can contribute significantly to green networking, we analyze and evaluate the energy consumption characteristics of I CN. First, we construct an energy consumption model for core and edge networks. Next, we observe the actual energy consumption for different network conditions in order to determine the model parameters. Then, we evaluate the network performances of I CN using ndnSI M [9] in a typical network topology. The results obtained confirm that ICN can contribute substantially to green networking.

The remainder of this paper is organized as follows. Section discusses related work. Section presents our energy consumption model. Section I V evaluates the energy consumption characteristics of various devices. Section V evaluates the energy consumption in simulated network topologies. Section VI concludes this paper.

II.R ELATED W ORK

2783650d8bd63186bdebbc0bN/NDN

CCN/NDN is one of the architectures for I CN. I n CCN/NDN delivery, two message types called I nterest and Content Object are exchanged. I nterest messages are used to request data by specifying the content chunk name. The name prefix in the message is used to limit the data that are most suitable from the collection of the same prefix. Content Object messages are used to supply data in response to the I nterest messages. These messages are primarily composed of a name, publisher, and a chunk of data. They also contain data payload, cryptographic signature, publisher identification, and other information about signing. In communication, a data consumer broadcasts an Interest message over all available connectivity, and any nodes with the content that satisfies the Interest must respond with at most one Content Object message. In order to satisfy the I nterest, the content name in the I nterest message has to be a prefix of the content name in the Content Object message. One of the key features of CCN/NDN is its router’s content caching mechanism. Content that goes through a CCN/NDN router is cached. This feature reduces network congestion and improves content delivery time because the clients can fetch the content from the nearest cache rather than the origin content server. Various implementations of CCN and NDN include CCNx [11], NDNx [12], and NDN-JS [13]. B.Power consumption models for various networks

Much research has been conducted on power consumption evaluation in various network types.

In [14-17,19], researchers evaluated the power consumption characteristics of mobile devices during data transmission and idle states on GSM, 3G, LTE, Wi-Fi, and Bluetooth networks. The evaluations were conducted purely from the aspect of required energy for data transmission. I n particular, Rahmati

and Zhong [14] examined the energy efficiency during bulk

2015 IEEE International Conference on Data Science and Data Intensive Systems

978-1-5090-0214-6/15 $31.00 ? 2015 IEEE DOI 10.1109/DSDIS.2015.70

390

data transfer by calculating the energy consumed per bit transfer. Their results indicated that the energy consumption heavily depends on the available throughput of each network type.

I n [4], Kamiyama et al. evaluated the power consumption of smartphones. To calculate and visualize the power consumption characteristics, they developed an application that collects the CPU utilization statistics of various smartphone components (e.g., display, network interfaces, and mobile apps). Then, they collected each CPU utilization component under various user usage scenarios and con …… 此处隐藏:19613字,全部文档内容请下载后查看。喜欢就下载吧 ……

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