2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)最新文献_第4页

Characterizing and Understanding the Architectural Implications of Cloudnative Edge NFV Workloads 描述和理解Cloudnative Edge NFV工作负载的架构含义

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9039983

Jianda Wang, Yang Hu

引用次数: 2

A Network Management Protocol for Sonification of Software-Defined Infrastructures 一种用于软件定义基础设施的网络管理协议

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9039998

G. Davoli, Flavio Esposito, W. Cerroni

{"title":"A Network Management Protocol for Sonification of Software-Defined Infrastructures","authors":"G. Davoli, Flavio Esposito, W. Cerroni","doi":"10.1109/NFV-SDN47374.2019.9039998","DOIUrl":"https://doi.org/10.1109/NFV-SDN47374.2019.9039998","url":null,"abstract":"Network management traffic is usually carried in-band with the data plane traffic on a logically separate plane. For example, separate service queues and/or VLANs may be reserved for reliable and timely delivery of management messages. This approach has roots in history but carries a fundamental problem: fate sharing between the data plane traffic and management traffic. Failure in data plane networks often cuts off management traffic to the exact network regions at fault, making it impossible to achieve important and relevant management tasks, such as diagnostics and recovery. In this paper, we propose a network management protocol that enables programmability of out-of-channel management applications to combat the fate-sharing problem in Software-Defined Infrastructures. To test our approach and our implementation we used acoustics, a fairly unexplored physical layer for the control and management plane. We then use the notion of sonification to implement a few representative applications such as k-superseeder detection and TraceSound, a sonified version of traceroute, for out-of-channel network verification and debugging. While scaling acoustics could be an insurmountable challenge, our tests show how our protocol brings about a sound software-defined approach that can be expanded to other (combinations of) frequencies and even multiple physical channels.","PeriodicalId":394933,"journal":{"name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972071","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

[Copyright notice] (版权)

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/nfv-sdn47374.2019.9040121

引用次数: 0

Putting NFV into Reality: Physical Smart Manufacturing Testbed 将NFV变为现实:物理智能制造试验台

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9040133

M. Müller, D. Behnke, Patrick-Benjamin Bök, Stefan Schneider, Manuel Peuster, H. Karl

引用次数: 2

VNF-AAP: Accelerator-aware Virtual Network Function Placement VNF-AAP:加速器感知的虚拟网络功能放置

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9040061

G. Sharma, W. Tavernier, D. Colle, M. Pickavet

引用次数: 5

Enhanced UE Slice Mobility for 5G Multi-RAT Networks 5G Multi-RAT网络的增强UE切片移动性

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9039982

Akshatha Nayak Manjeshwar, P. Jha, A. Karandikar, P. Chaporkar

{"title":"Enhanced UE Slice Mobility for 5G Multi-RAT Networks","authors":"Akshatha Nayak Manjeshwar, P. Jha, A. Karandikar, P. Chaporkar","doi":"10.1109/NFV-SDN47374.2019.9039982","DOIUrl":"https://doi.org/10.1109/NFV-SDN47374.2019.9039982","url":null,"abstract":"The Third Generation Partnership Project (3GPP) Fifth Generation (5G) networks employ network slicing in order to implement multiple service types corresponding to different business needs. Network slicing results in the creation of multiple end-to-end logical networks over shared physical infrastructure. User Equipments (UEs) can use multiple network slices concurrently in order to avail a diverse set of services. In order to support UE slice mobility, especially for UEs accessing multiple slices, 3GPP mandates that all supported slices should be deployed homogeneously within a Registration Area (RA). However, studies have shown that the deployment cost of the network increases with the increased number of slices. This makes it a costly proposition to deploy all supported slices on every Radio Access Network (RAN) node within the RA. In this paper, we propose that the slice deployment requirements can be more flexible while ensuring UE slice mobility through the use of an enhanced multi-connectivity protocol. The proposed protocol can also be used for ensuring slice mobility across multi-Radio Access Technology (RAT) networks, including 5G New Radio (NR) and Wireless Local Area Networks (WLANs). The performance improvements obtained due to the proposal are demonstrated through simulations in network simulator-3 (ns-3).","PeriodicalId":394933,"journal":{"name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116956157","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

Automated Security Management for Virtual Services 虚拟服务的自动安全管理

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2019-11-01 DOI: 10.1109/NFV-SDN47374.2019.9040069

M. Repetto, A. Carrega, Jalolliddin Yusupov, Fulvio Valenza, Fulvio Risso, G. Lamanna

引用次数: 0

In-network Congestion-aware Load Balancing at Transport Layer 传输层的网络内拥塞感知负载均衡

2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2018-11-24 DOI: 10.1109/NFV-SDN47374.2019.9040109

Ashkan Aghdai, Michael I.-C. Wang, Yang Xu, Charles H.-P. Wen, H. J. Chao

{"title":"In-network Congestion-aware Load Balancing at Transport Layer","authors":"Ashkan Aghdai, Michael I.-C. Wang, Yang Xu, Charles H.-P. Wen, H. J. Chao","doi":"10.1109/NFV-SDN47374.2019.9040109","DOIUrl":"https://doi.org/10.1109/NFV-SDN47374.2019.9040109","url":null,"abstract":"Load balancing at transport layer is an important function in data centers, content delivery networks, and mobile networks, where per-connection consistency (PCC) has to be met for optimal performance. Cloud-native L4 load balancers are commonly deployed as virtual network functions (VNFs) and are a critical forwarding element in modern cloud infrastructure. We identify load imbalance among service instances as the main cause of additional processing delay caused by transport-layer load balancers. Existing transport-layer load balancers rely on one of two methods: host-level traffic redirection, which may add as much as 12.48% additional traffic to underlying networks, or connection tracking, which consumes a considerable amount of memory in load balancers. Both of these methods result in inefficient usage of network resources. We propose the in-network congestion-aware load Balancer (INCAB) to achieve even load distribution among service instances and optimal network resources usage in addition to meeting the PCC requirement. We show that INCAB is capable of identifying and monitoring each instance’s most-utilized resource and can improve the load distribution among all service instances. INCAB utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution. Furthermore, it does not rely on end hosts for traffic redirection. Our flow level simulations show that INCAB improves flows’ average completion time by 31.97% compared to stateless solutions.","PeriodicalId":394933,"journal":{"name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115711289","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: 9