Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems最新文献

Internet Photonic Sensing: Using the Internet Optical Transport Signals for Vibration and Deformation Sensing 互联网光子传感:利用互联网光传输信号进行振动和变形传感

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474507

Shreeshrita Patnaik, P. Barford, D. Fratta, Bill Jensen, N. Lord, Matthew Malloy, Herbert Wang

{"title":"Internet Photonic Sensing: Using the Internet Optical Transport Signals for Vibration and Deformation Sensing","authors":"Shreeshrita Patnaik, P. Barford, D. Fratta, Bill Jensen, N. Lord, Matthew Malloy, Herbert Wang","doi":"10.1145/3473938.3474507","DOIUrl":"https://doi.org/10.1145/3473938.3474507","url":null,"abstract":"In this paper, we introduce Internet Photonic Sensing (IPS), a new framework for deformation and vibration measurement and monitoring based on signals that are available from standard fiber optic communication hardware deployed in the Internet. IPS is based on the hypothesis that atmospheric, seismic, anthropogenic and other natural activity cause deformations and vibrations in the earth that trigger detectable changes in standard optical signals that transmit data through Internet fiber. We assume a simple system component model for optical communication hardware and identify two candidate signals that may reflect deformation and vibrations and that can be measured through standard interfaces: Optical Signal Strength (OSS) and Bit Error Rate (BER). We investigate the efficacy of IPS through a series of controlled, laboratory experiments that consider how the candidate signals respond when fiber is subjected to a range of mechanical deformations. We believe that advancement of IPS offers the potential to transform the practice of scientific, commercial and public safety-related vibration monitoring applications by providing a highly-sensitive platform that is available at a global scale.","PeriodicalId":302760,"journal":{"name":"Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012973","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

Towards All-optical Circuit-switched Datacenter Network Cores: The Case for Mitigating Traffic Skewness at the Edge 迈向全光电路交换数据中心网络核心:缓解边缘流量偏度的案例

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474505

Sushovan Das, Weitao Wang, T. Ng

引用次数: 2

Abstractions for Reconfigurable Hybrid Network Update and A Consistent Update Approach 可重构混合网络更新的抽象与一致更新方法

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474506

Weitao Wang, Sushovan Das, T. Ng

{"title":"Abstractions for Reconfigurable Hybrid Network Update and A Consistent Update Approach","authors":"Weitao Wang, Sushovan Das, T. Ng","doi":"10.1145/3473938.3474506","DOIUrl":"https://doi.org/10.1145/3473938.3474506","url":null,"abstract":"Reconfigurable Hybrid (electrical/optical) Network (RHN) [1-4, 6, 8, 10, 11, 13-19] for modern datacenter architectures has gained significant momentum during the last decade. The primary advantage of such RHN architectures is the dynamic topological reconfigurability enabled by optical circuit switches (OCS). On one hand, RHN can benefit throughput-intensive applications by providing on-demand high-bandwidth links between the hosts (CPU/GPU/TPU), such as distributed deep neural network training and recommendation systems, etc. On the other hand, RHN can reduce the hop-count between the host pairs, improving the performance for latency-sensitive applications such as real-time customer interactions with in-memory file system. However, previous works mostly focused on finding a suitable topology to efficiently handle a given traffic demand. Performing such topology update together with SDN policy update in a holistic manner while maintaining per-packet consistency and other network invariants is still an open issue. Existing network maintenance and policy update solutions define the notion of per-packet consistency assuming a pure SDN network where the physical network topology is static. This assumption does not hold for RHN because dynamic topology reconfiguration is inherent to RHN. In this paper, first, we define an extended notion of per-packet consistency and discuss the other critical requirements for RHN updates. Next, we provide an abstraction of RHN update and propose Transtate, a general method to perform such RHN update while satisfying the critical requirements. We believe such innovations remove one of the key obstacles towards reconfigurable-hybrid SDN.","PeriodicalId":302760,"journal":{"name":"Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128682097","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: 1

Are WANs Ready for Optical Topology Programming? 广域网准备好进行光拓扑规划了吗?

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474510

M. Hall, P. Barford, Klaus-Tycho Foerster, M. Ghobadi, William Jensen, Ramakrishnan Durairajan

引用次数: 3

Reconfigurable Optical Datacom Networks by Self-supervised Learning 基于自监督学习的可重构光数据通信网络

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474509

Che-Yu Liu, Xiaoliang Chen, R. Proietti, Zhaohui Li, S. Yoo

引用次数: 0

IOI: In-network Optical Inference IOI:网络内光推断

Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems Pub Date : 2021-08-23 DOI: 10.1145/3473938.3474508

Zhizhen Zhong, Weiyang Wang, M. Ghobadi, Alexander Sludds, R. Hamerly, Liane Bernstein, D. Englund

引用次数: 7