首页 > 最新文献

2022 IEEE 8th International Conference on Network Softwarization (NetSoft)最新文献

英文 中文
OWC-enabled Spine and Leaf Architecture Towards Energy Efficient Data Center Networks 面向节能数据中心网络的基于owc的Spine和Leaf架构
Pub Date : 2022-03-21 DOI: 10.48550/arXiv.2203.10892
Abrar S. Alhazmi, S. Mohamed, T. El-Gorashi, J. Elmirghani
Due to the emergence of new paradigms and services such as 5G/6G, IoT, and more, current deployed wired Data Center Networks (DCNs) are not meeting the required performance metrics due to their limited reconfigurability, scalability, and throughput. To that end, wireless DCNs using technologies such as Optical Wireless Communication (OWC) have become viable and cost-effective solutions as they offer higher capacity, better energy efficiency, and better scalability. This paper proposes an OWC-based spine and leafDCNs where the leaf switches are enabled with OWC transceivers, and the spine switches are replaced by Access Points (APs) in the ceiling connected to a backbone network. The APs are interconnected through a Passive Optical Network (PON) that also connects the architecture with upper network layers. An Infrared (IR) OWC system that employs Wavelength Division Multiplexing (WDM) is proposed to enhance the DCN downlink communication. The simulation (i.e., channel modeling) results show that our proposed data center links achieve good data rates in the data center up to 15 Gbps. For the PON, Arrayed Waveguide Grating Routers (AWGRs) that enable WDM are proposed to connect the APs. We evaluate the performance of the considered architecture in term of its power efficiency compared to traditional spine and leaf data centers. The results show that the OWC-enabled DCN reduces the power consumption by 42% compared to traditional the spine and leaf architecture.
由于5G/6G、物联网等新模式和服务的出现,目前部署的有线数据中心网络(dcn)由于其有限的可重构性、可扩展性和吞吐量而无法满足所需的性能指标。为此,使用光学无线通信(OWC)等技术的无线dcn已成为可行且具有成本效益的解决方案,因为它们提供更高的容量,更好的能源效率和更好的可扩展性。本文提出了一种基于OWC的骨干和叶型dcns,其中叶型交换机启用OWC收发器,骨干交换机由连接到骨干网络的天花板中的接入点(ap)取代。ap之间通过无源光网络PON (Passive Optical Network)连接,PON也连接该架构与上层网络层。提出了一种采用波分复用(WDM)技术的红外OWC系统,以增强DCN下行通信能力。仿真(即信道建模)结果表明,我们提出的数据中心链路在数据中心内达到了高达15 Gbps的良好数据速率。对于PON,建议使用支持WDM的awgr (array Waveguide光栅路由器)连接ap。与传统的spine和leaf数据中心相比,我们根据其功率效率来评估所考虑的架构的性能。结果表明,与传统的脊柱和叶片结构相比,支持owc的DCN降低了42%的功耗。
{"title":"OWC-enabled Spine and Leaf Architecture Towards Energy Efficient Data Center Networks","authors":"Abrar S. Alhazmi, S. Mohamed, T. El-Gorashi, J. Elmirghani","doi":"10.48550/arXiv.2203.10892","DOIUrl":"https://doi.org/10.48550/arXiv.2203.10892","url":null,"abstract":"Due to the emergence of new paradigms and services such as 5G/6G, IoT, and more, current deployed wired Data Center Networks (DCNs) are not meeting the required performance metrics due to their limited reconfigurability, scalability, and throughput. To that end, wireless DCNs using technologies such as Optical Wireless Communication (OWC) have become viable and cost-effective solutions as they offer higher capacity, better energy efficiency, and better scalability. This paper proposes an OWC-based spine and leafDCNs where the leaf switches are enabled with OWC transceivers, and the spine switches are replaced by Access Points (APs) in the ceiling connected to a backbone network. The APs are interconnected through a Passive Optical Network (PON) that also connects the architecture with upper network layers. An Infrared (IR) OWC system that employs Wavelength Division Multiplexing (WDM) is proposed to enhance the DCN downlink communication. The simulation (i.e., channel modeling) results show that our proposed data center links achieve good data rates in the data center up to 15 Gbps. For the PON, Arrayed Waveguide Grating Routers (AWGRs) that enable WDM are proposed to connect the APs. We evaluate the performance of the considered architecture in term of its power efficiency compared to traditional spine and leaf data centers. The results show that the OWC-enabled DCN reduces the power consumption by 42% compared to traditional the spine and leaf architecture.","PeriodicalId":125799,"journal":{"name":"2022 IEEE 8th International Conference on Network Softwarization (NetSoft)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116879787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Traffic-Aware Dynamic Functional Split for 5G Cloud Radio Access Networks 面向5G云无线接入网的流量感知动态功能拆分
Pub Date : 2022-02-18 DOI: 10.1109/NetSoft54395.2022.9844117
Himank Gupta, A. Franklin, Mayank Kumar, B. Reddy
The recent adaption of virtualization technologies in the next generation mobile network enables 5G base station to be segregated into a Radio Unit (RU), a Distributed Unit (DU), and a Central Unit (CU) to support Cloud based Radio Access Networks (C-RAN). RU and DU are connected through a fronthaul link. In contrast, CU and DU are connected through a midhaul link. Although virtualization of CU gives benefits of centralization to the operators, there are other issues to be solved such as optimization of midhaul bandwidth and computing resources at edge cloud and central cloud where the DUs and CUs are deployed, respectively. In this paper, we propose a dynamic functional split selection for the DUs in 5G C-RAN by adopting to traffic heterogeneity where the midhaul bandwidth is limited. We propose an optimization problem that maximizes the centralization of the C-RAN system by operating more number of DUs on split Option-7 by changing the channel bandwidth of the DUs. The dynamic selection of split options among each CU-DU pair gives 90% centralization over the static functional split for a given midhaul bandwidth.
最近在下一代移动网络中采用虚拟化技术,使5G基站能够被隔离为无线电单元(RU)、分布式单元(DU)和中央单元(CU),以支持基于云的无线接入网(C-RAN)。RU和DU通过前传链路连接。相反,CU和DU通过中程链路连接。虽然CU的虚拟化给运营商带来了集中化的好处,但还有其他问题需要解决,比如在分别部署du和CU的边缘云和中心云中优化中程带宽和计算资源。在本文中,我们提出了一种针对5G C-RAN中DUs的动态功能拆分选择方法,该方法采用了中程带宽有限的流量异构特性。我们提出了一个优化问题,通过改变du的信道带宽,在分裂选项7上操作更多的du,从而最大化C-RAN系统的集中化。对于给定的中程带宽,每个CU-DU对之间的拆分选项的动态选择使静态功能拆分的集中度达到90%。
{"title":"Traffic-Aware Dynamic Functional Split for 5G Cloud Radio Access Networks","authors":"Himank Gupta, A. Franklin, Mayank Kumar, B. Reddy","doi":"10.1109/NetSoft54395.2022.9844117","DOIUrl":"https://doi.org/10.1109/NetSoft54395.2022.9844117","url":null,"abstract":"The recent adaption of virtualization technologies in the next generation mobile network enables 5G base station to be segregated into a Radio Unit (RU), a Distributed Unit (DU), and a Central Unit (CU) to support Cloud based Radio Access Networks (C-RAN). RU and DU are connected through a fronthaul link. In contrast, CU and DU are connected through a midhaul link. Although virtualization of CU gives benefits of centralization to the operators, there are other issues to be solved such as optimization of midhaul bandwidth and computing resources at edge cloud and central cloud where the DUs and CUs are deployed, respectively. In this paper, we propose a dynamic functional split selection for the DUs in 5G C-RAN by adopting to traffic heterogeneity where the midhaul bandwidth is limited. We propose an optimization problem that maximizes the centralization of the C-RAN system by operating more number of DUs on split Option-7 by changing the channel bandwidth of the DUs. The dynamic selection of split options among each CU-DU pair gives 90% centralization over the static functional split for a given midhaul bandwidth.","PeriodicalId":125799,"journal":{"name":"2022 IEEE 8th International Conference on Network Softwarization (NetSoft)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127420908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
2022 IEEE 8th International Conference on Network Softwarization (NetSoft)
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1