2020 IEEE 28th International Conference on Network Protocols (ICNP)最新文献_第3页

Geosynchronous Network Grid Addressing for Integrated Space-Terrestrial Networks 空间-地面综合网络的地球同步网格寻址

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259376

Gao Zheng, Ning Wang, R. Tafazolli, Xinpeng Wei

{"title":"Geosynchronous Network Grid Addressing for Integrated Space-Terrestrial Networks","authors":"Gao Zheng, Ning Wang, R. Tafazolli, Xinpeng Wei","doi":"10.1109/ICNP49622.2020.9259376","DOIUrl":"https://doi.org/10.1109/ICNP49622.2020.9259376","url":null,"abstract":"The launch of the StarLink Project has recently stimulated a new wave of research on integrating Low Earth Orbit (LEO) satellite networks with the terrestrial Internet infrastructure. In this context, one distinct technical challenge to be tackled is the frequent topology change caused by the constellation behaviour of LEO satellites. Frequent change of the peering IP connection between the space and terrestrial Autonomous Systems (ASes) inevitably disrupts the Border Gateway Protocol (BGP) routing stability at the network boundaries which can be further propagated into the internal routing infrastructures within ASes. To tackle this problem, we introduce the Geosynchronous Network Grid Addressing (GNGA) scheme by decoupling IP addresses from physical network elements such as a LEO satellite. Specifically, according to the density of LEO satellites on the orbits, the IP addresses are allocated to a number of stationary \"grids\" in the sky and dynamically bound to the interfaces of the specific satellites moving into the grids along time. Such a scheme allows static peering connection between a terrestrial BGP speaker and a fixed external BGP (e-BGP) peer in the space, and hence is able to circumvent the exposure of routing disruptions to the legacy terrestrial ASes. This work-in-progress specifically addresses a number of fundamental technical issues pertaining to the design of the GNGA scheme.","PeriodicalId":233856,"journal":{"name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133966248","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

Martini: Bridging the Gap between Network Measurement and Control Using Switching ASICs 利用开关asic弥合网络测量和控制之间的差距

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259415

Shuhe Wang, Chen Sun, Zili Meng, Minhu Wang, Jiamin Cao, Mingwei Xu, J. Bi, Qun Huang, M. Moshref, Tong Yang, Hongxin Hu, Gong Zhang

{"title":"Martini: Bridging the Gap between Network Measurement and Control Using Switching ASICs","authors":"Shuhe Wang, Chen Sun, Zili Meng, Minhu Wang, Jiamin Cao, Mingwei Xu, J. Bi, Qun Huang, M. Moshref, Tong Yang, Hongxin Hu, Gong Zhang","doi":"10.1109/ICNP49622.2020.9259415","DOIUrl":"https://doi.org/10.1109/ICNP49622.2020.9259415","url":null,"abstract":"Advanced network management systems, including network measurement and traffic control, rely on a remote controller to make control decisions. However, this approach incurs a long control loop of a few seconds to minutes. Even if we switch to switch-local controller, the latency is still tens of milliseconds and is unacceptable for many latency-sensitive tasks. In this paper, we propose Martini, a general framework that supports measurement-based timely control. The key idea is to perform measurement, control decision, and control entirely in the switch data plane. This could shorten the control loop of management tasks that require timely control based on only locally measured statistics in the switch. First, Martini introduces a set of primitives to describe management tasks. Next, Martini provides an innovative network-wide task placement mechanism to exploit resources of all switches to accommodate massive management tasks. Finally, Martini provides a code library and a compiler to support measurement and control on a state-of-the-art switching ASIC. Evaluation results show that Martini can effectively support a wide range of fine-timescale management tasks such as microburst detection and fast load balancing by reducing the control loop from seconds to nanoseconds.","PeriodicalId":233856,"journal":{"name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121582548","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: 17

CoNICE: Consensus in Intermittently-Connected Environments by Exploiting Naming with Application to Emergency Response CoNICE:利用命名与应急响应的应用在间歇性连接环境中的共识

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259370

Mohammad Jahanian, K. Ramakrishnan

{"title":"CoNICE: Consensus in Intermittently-Connected Environments by Exploiting Naming with Application to Emergency Response","authors":"Mohammad Jahanian, K. Ramakrishnan","doi":"10.1109/ICNP49622.2020.9259370","DOIUrl":"https://doi.org/10.1109/ICNP49622.2020.9259370","url":null,"abstract":"In many scenarios, information must be disseminated over intermittently-connected environments when network infrastructure becomes unavailable. Example scenarios include disasters in which first responders need to send updates about their critical tasks. If such updates pertain to a shared data set (e.g., pins on a map), their consistent dissemination is important. We can achieve this through causal ordering and consensus. Popular consensus algorithms, such as Paxos and Raft, are most suited for connected environments with reliable links. While some work has been done on designing consensus algorithms for intermittently-connected environments, such as the One-Third Rule (OTR) algorithm, there is need to improve their efficiency and timely completion. We propose CoNICE, a framework to ensure consistent dissemination of updates among users in intermittently-connected, infrastructure-less environments. It achieves efficiency by exploiting hierarchical namespaces for faster convergence, and lower communication overhead. CoNICE provides three levels of consistency to users' views, namely replication, causality and agreement. It uses epidemic propagation to provide adequate replication ratios, and optimizes and extends Vector Clocks to provide causality. To ensure agreement, CoNICE extends basic OTR to support long-term fragmentation and critical decision invalidation scenarios. We integrate the multilevel consistency schema of CoNICE, with a naming schema that follows a topic hierarchy-based dissemination framework, to improve functionality and performance. Performing city-scale simulation experiments, we demonstrate that CoNICE is effective in achieving its consistency goals, and is efficient and scalable in the time for convergence and utilized network resources.","PeriodicalId":233856,"journal":{"name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122116352","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: 2

POSTER: Accelerating Encrypted Data Stores Using Programmable Switches 海报:使用可编程交换机加速加密数据存储

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259379

Carson Kuzniar, M. Neves, I. Haque

引用次数: 1

Poster: Novel Opportunities in Design of Efficient Deep Packet Inspection Engines 海报:设计高效深度包检测引擎的新机遇

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259400

A. Chekashev, Vitalii Demianiuk, Kirill Kogan

引用次数: 0

Anomalous Model-Driven-Telemetry Network-Stream BGP Detection 异常模型驱动遥测网络流BGP检测

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259411

Rostand A. K. Fezeu, Zhi-Li Zhang

{"title":"Anomalous Model-Driven-Telemetry Network-Stream BGP Detection","authors":"Rostand A. K. Fezeu, Zhi-Li Zhang","doi":"10.1109/ICNP49622.2020.9259411","DOIUrl":"https://doi.org/10.1109/ICNP49622.2020.9259411","url":null,"abstract":"There is a growing demand for real-time analysis of network data streams. In recent years, Model Driven Telemetry (MDT) has been developed – in place of conventional methods such as Simple Network Management Protocol (SNMP), Syslog and CLI commands – to provide a fine-grain holistic view of a network at the control, data and management planes. High-frequency MDT data streams generated from network devices enable new ways of designing Network Operation and Management (OAM) solutions, laying the foundation for future \"self-driving\" networks.In this paper we study anomaly detection using MDT data streams in a data center environment. In many commercial data centers, BGP is re-purposed for (policy-driven, path-based) intra-routing (as opposed to inter-domain routing that it was originally designed for) to take advantage of rich path diversity. Several vendors have developed MDT data models using YANG that allow routers/switches to express and stream various BGP features for (centralized) network OAM operations. We develop a systematic MDT data processing and feature selection framework that is portable to multiple MDT vendors. Furthermore, we advance NetCorDenstream that builds and improves upon OutlierDenStream proposed in [10] for real-time detection of streamed anomalous MDT data. We show that NetCorDenstream achieves a 59% reduction in alarms raised when compared with OutlierDenStream, thereby reducing the (attention) burden placed on network operators. In particular, it increases alarm detection precision significantly while decreasing false alarms at the expense of a slightly delayed response time.","PeriodicalId":233856,"journal":{"name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563029","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: 4

Cooperative Network-wide Flow Selection 协同全网流量选择

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259395

Ran Ben Basat, Gil Einziger, Bilal Tayh

引用次数: 4

Poster: Application-Aware Load Migration Protocols for Network Controllers 海报:网络控制器的应用感知负载迁移协议

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259359

Sepehr Abbasi Zadeh, Mohmmad Amin Beiruti, Y. Ganjali, Zhenhua Hu

引用次数: 0

Welcome Message from the ICNP 2020 General Chair ICNP 2020总主席欢迎辞

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259380

Sergey Gorinsky

引用次数: 0

StarPerf: Characterizing Network Performance for Emerging Mega-Constellations StarPerf:描述新兴巨型星座的网络性能

2020 IEEE 28th International Conference on Network Protocols (ICNP) Pub Date : 2020-10-13 DOI: 10.1109/ICNP49622.2020.9259357

Zeqi Lai, Hewu Li, Jihao Li

{"title":"StarPerf: Characterizing Network Performance for Emerging Mega-Constellations","authors":"Zeqi Lai, Hewu Li, Jihao Li","doi":"10.1109/ICNP49622.2020.9259357","DOIUrl":"https://doi.org/10.1109/ICNP49622.2020.9259357","url":null,"abstract":"\"Newspace\" mega-constellations, such as Starlink and OneWeb are gaining tremendous popularity, with the promising potential to provide high-capacity and low-latency communication globally. However, very little is known about the architecture and performance of such emerging systems, the workload they have to face, as well as the impact of topological options on the attainable network performance.This paper presents StarPerf, a mega-constellation performance simulation platform that enables constellation manufacturers and content providers to estimate and understand the achievable performance under a variety of constellation options. The proposed platform integrates two key techniques: (1) performance simulation for mega-constellation, which captures the impact of the inherent high mobility in satellite networks and profiles the area-to-area attainable network performance; (2) constellation scaling, which synthesizes various topological options by scaling the space resource and enables exploration on multiple operating conditions that can not be easily reproduced. To demonstrate the effectiveness of StarPerf on understanding and optimizing satellite networks, we leverage StarPerf to evaluate and compare the performance of several state-of-the-art low earth orbit (LEO) constellations and obtain insights on optimizing the architectural design to improve area-to-area network performance. Finally, to further show how applications can benefit from the proposed simulator, we propose an adaptive relay selection algorithm that can intelligently choose the optimal relay on cloud platforms and LEO satellites to achieve reduced latency. Evaluation results show that by properly selecting a relay in the satellite-cloud integrated infrastructure, end-to-end communication latency can be reduced by up to 62% for typical interactive traffic.","PeriodicalId":233856,"journal":{"name":"2020 IEEE 28th International Conference on Network Protocols (ICNP)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123232419","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: 25