帶有卸載時(shí)延感知的邊緣云增強(qiáng)FiWi網(wǎng)絡(luò)節(jié)能機(jī)制

鄒虹; 高毅爽; 閆俊杰

doi:10.11999/JEIT180274

帶有卸載時(shí)延感知的邊緣云增強(qiáng)FiWi網(wǎng)絡(luò)節(jié)能機(jī)制

doi: 10.11999/JEIT180274 cstr: 32379.14.JEIT180274

1.
重慶郵電大學(xué)通信與信息工程學(xué)院 ??重慶 ??400065
2.
重慶高校市級(jí)光通信與網(wǎng)絡(luò)重點(diǎn)實(shí)驗(yàn)室 ??重慶 ??400065

基金項(xiàng)目: 國家自然科學(xué)基金(61771082)，重慶市高校創(chuàng)新團(tuán)隊(duì)建設(shè)計(jì)劃(CXTDX201601020)，重慶市教委科學(xué)技術(shù)研究項(xiàng)目(KJQN201800615)

詳細(xì)信息

作者簡介:
鄒虹：女，1970年生，副教授，研究方向?yàn)楣鉄o線融合網(wǎng)絡(luò)

高毅爽：男，1995年生，碩士生，研究方向?yàn)楣鉄o線融合網(wǎng)絡(luò)

閆俊杰：男，1990年生，博士生，研究方向?yàn)镈2D通信、霧計(jì)算等

通訊作者:
閆俊杰　cqupt2013yjj@sina.com

中圖分類號(hào): TP393.04
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-03-23
- 修回日期: 2018-11-08
- 網(wǎng)絡(luò)出版日期: 2018-11-15
- 刊出日期: 2019-02-01

Energy Saving Mechanism with Offload Delay Aware in Cloudlet Enhanced Fi-Wi Access Network

1.
School of Telecommunication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Optical Communication and Network, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61771082), The Chongqing Funded Project of Chongqing University Innovation Team Construction (CXTDX201601020), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201800615)

摘要

摘要:
邊緣云增強(qiáng)光無線融合網(wǎng)絡(luò)中，存在傳統(tǒng)節(jié)能機(jī)制與卸載業(yè)務(wù)不匹配的問題。該文提出一種帶有負(fù)載轉(zhuǎn)移的光網(wǎng)絡(luò)單元卸載協(xié)同休眠機(jī)制。通過分析當(dāng)前光網(wǎng)絡(luò)單元負(fù)載，結(jié)合無線域多跳傳輸時(shí)延和目標(biāo)光網(wǎng)絡(luò)單元的報(bào)告幀發(fā)送時(shí)刻，進(jìn)而確定休眠和目的光網(wǎng)絡(luò)單元完成負(fù)載轉(zhuǎn)移。然后光網(wǎng)絡(luò)單元協(xié)同考慮邊緣服務(wù)器的回傳數(shù)據(jù)到達(dá)時(shí)刻和無線域控制幀的發(fā)送時(shí)刻，選取最合適的休眠時(shí)長以減少控制開銷。仿真結(jié)果表明，所提機(jī)制在有效降低網(wǎng)絡(luò)能耗的同時(shí)能保證卸載業(yè)務(wù)的時(shí)延性能。
- 光無線融合網(wǎng)絡(luò) /
- 移動(dòng)邊緣計(jì)算 /
- 節(jié)能 /
- 卸載協(xié)同休眠
Abstract:
In cloudlet enhanced Fiber-Wireless (FiWi) access network, there is a problem that the traditional energy saving mechanism does not match the offload traffic. An offload collaboration sleep mechanism with load transfer is proposed. By analyzing the load of the optical network unit and combining the transmission delay of the multi-hop in the wireless domain and the sending time of the report frame of the target optical network unit, the proposed mechanism can determine the sleeping and the destination optical network unit to complete load transfer. Then, the optical network unit jointly considers the arrival time of the returned data of the edge severs and the sending time of the control frame in the wireless domain to select the optimal sleep duration and reduce the controlling overhead. Simulation results show that the proposed mechanism can effectively reduce the network energy consumption while ensuring the delay performance of offload traffic.
- Fiber-Wireless (FiWi) access network /
- Mobile Edge Computing (MEC) /
- Energy saving /
- Offload cooperative sleeping

HTML全文

圖 1 ONU卸載協(xié)同休眠機(jī)制

下載: 全尺寸圖片幻燈片

圖 2 不同輪詢周期下的平均端到端時(shí)延

下載: 全尺寸圖片幻燈片

圖 3 不同MEC業(yè)務(wù)負(fù)載下的響應(yīng)時(shí)延

下載: 全尺寸圖片幻燈片

圖 4 不同MEC業(yè)務(wù)負(fù)載下的ONU休眠比

下載: 全尺寸圖片幻燈片

圖 5 不同MEC業(yè)務(wù)負(fù)載下的ONU總能耗

下載: 全尺寸圖片幻燈片

圖 6 不同Beacon周期下的STA能耗

下載: 全尺寸圖片幻燈片

表 1 仿真參數(shù)設(shè)置

參數(shù)設(shè)定	參數(shù)數(shù)值
ONU數(shù)目N(個(gè))	16
STA數(shù)目M(個(gè))	50
ONU活躍狀態(tài)能耗(W)	5.052
ONU休眠狀態(tài)能耗(W)	0.750
STA活躍狀態(tài)能耗(W)	0.900
STA休眠狀態(tài)能耗(W)	0.300
平均卸載分組大小(kB)	163.6
ONU間保護(hù)時(shí)隙(μs)	46.000
STA間保護(hù)時(shí)隙(μs)	10.000
控制幀時(shí)隙(μs)	0.512

下載: 導(dǎo)出CSV

參考文獻(xiàn)(17)

WU Dapeng, LIU Qianru, WANG Honggang, et al. Socially aware energy efficient mobile edge collaboration for video distribution[J]. IEEE Transaction on Multimedia, 2017, 19(10): 2197–2209. doi: 10.1109/TMM.2017.2733300HJK

WU Dapeng, SI Shushan, WU Shaoen, et al. Dynamic trust relationships aware data privacy protection in mobile crowd-sensing[J]. IEEE Internet of Things Journal, 2017, 5(4): 2958–2970. doi: 10.1109/JIOT.2017.2768073

DAVY S, FAMAEY J, SERRAT F J, et al. Challenges to support edge-as-a-service[J]. IEEE Communications Magazine, 2014, 52(1): 132–139. doi: 10.1109/MCOM.2014.6710075

WU Dapeng, LIU Zuqi, WANG Ruyan, et al. Dynamic bandwidth allocation mechanism in EPON with idle time eliminated[J]. Optik-International Journal for Light and Electron Optics, 2013, 124(23): 6372–6376. doi: 10.1016/j.ijleo.2013.05.027

YU Yingpeng, LIU Yejun, ZHOU Yufang, et al. Planning of survivable cloud-integrated wireless-optical broadband access network against distribution fiber failure[J]. Optical Switching & Networking, 2014, 14(4): 217–225. doi: 10.1016/j.osn.2014.05.014

SARDELLITTI S, SCUTARI G, and BARBAROSSA S. Joint optimization of radio and computational resources for multicell mobile-edge computing[J]. IEEE Transactions on Signal & Information Processing Over Networks, 2015, 1(2): 89–103. doi: 10.1109/TSIPN.2015.2448520

RIMAL B P, VAN D P, and MAIER M. Mobile-edge computing versus centralized cloud computing over a converged FiWi access network[J]. IEEE Transactions on Network & Service Management, 2017, 14(3): 498–513. doi: 10.1109/TNSM.2017.2706085

YOU Changsheng, HUANG Kaibin, HYUKJIN C, et al. Energy-efficient resource allocation for mobile-edge computation offloading[J]. IEEE Transactions on Wireless Communications, 2017, 16(3): 1397–1411. doi: 10.1109/TWC.2016.2633522

ZHANG Ke, MAO Yuming, and LENG Supeng. Energy-efficient offloading for mobile edge computing in 5G heterogeneous Networks[J]. IEEE Access, 2015, 4(68): 5896–5907. doi: 10.1109/ACCESS.2016.2597169

LIU Yejun, GUO Lei, ZHANG Lincong, et al. A new integrated energy-saving scheme in green Fiber-Wireless(FiWi) access network[J]. Science China, 2014, 57(6): 62307–06. doi: 10.1007/s11432-013-4958-7

張晚生, 劉凱. 無線網(wǎng)絡(luò)中基于位置的能量高效協(xié)作路由算法[J]. 電子與信息學(xué)報(bào), 2012, 34(1): 63–68. doi: 10.3724/SP.J.1146.2011.00425

ZHANG Wansheng and LIU Kai. Energy-efficient location-based cooperative routing in wireless networks[J]. Journal of Electronics &Information Technology, 2012, 34(1): 63–68. doi: 10.3724/SP.J.1146.2011.00425

RIMAL B P, VAN D P, and MAIER M. Mobile-edge computing vs. centralized cloud computing in fiber-wireless access networks[C]. IEEE Computer Communications Workshops, San Francisco, USA, 2016: 991–996.

SARKAR S, YEN H H, DIXIT S, et al. A novel Delay-Aware Routing Algorithm (DARA) for a hybrid Wireless-Optical Broadband Access Network (WOBAN)[J]. Network IEEE, 2008, 22(3): 20–28. doi: 10.1109/MNET.2008.4519961

ZHAO Tianchu, ZHOU Sheng, GUO Xueying, et al. A cooperative scheduling scheme of local cloud and internet cloud for delay-aware mobile cloud computing[C]. IEEE Globecom Wkshps. San Diego, USA, 2015: 1–6.

CHENG Dazhao, JIANG Changjun, and ZHOU Xiaobo. Heterogeneity-aware workload placement and migration in distributed sustainable datacenters[C]. IEEE International Parallel and Distributed Processing Symposium, Phoenix, USA, 2014: 307–316.

NEWAZA S S H, CUEVASB A, LEE G M, et al. Adaptive delay-aware energy efficient TDM-PON[J]. Computer Networks, 2013, 57(7): 1577–1596. doi: 10.1016/j.comnet.2013.02.001

MIYANABE K, NISHIYAMA H, KATO N, et al. Synchronized power saving mechanisms for battery-powered mobile terminals in smart FiWi networks[C]. IEEE Vehicular Technology Conference, Vancouver, Canada, 2014: 1–5.

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