2022 18th International Conference on Network and Service Management (CNSM)最新文献_第4页

Function Placement and Acceleration for In-Network Federated Learning Services 网络内联邦学习服务的功能配置与加速

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964625

Nour-El-Houda Yellas, B. Addis, R. Riggio, Stefano Secci

{"title":"Function Placement and Acceleration for In-Network Federated Learning Services","authors":"Nour-El-Houda Yellas, B. Addis, R. Riggio, Stefano Secci","doi":"10.23919/CNSM55787.2022.9964625","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9964625","url":null,"abstract":"Edge intelligence combined with federated learning is considered as a way to distributed learning and inference tasks in a scalable way, by analyzing data close to where it is generated, unlike traditional cloud computing where data is offloaded to remote servers. In this paper, we address the placement of Artificial Intelligence Functions (AIF) making use of federated learning and hardware acceleration. We model the behavior of federated learning and related inference point to guide the placement decision, taking into consideration the specific constraint and the empirical behavior of a virtualized infrastructure anomaly detection use-case. Besides hardware acceleration, we consider the specific training time trend when distributing training over a network, by using empirical piece-wise linear distributions. We model the placement problem as a MILP and we propose a variant of the problem. Simulation results show the impact that hardware acceleration can have in the decision of the number of AIF to enable, while dividing by a relevant factor the distributed training time. We also show how our approach exacerbates the importance of monitoring an end-to-end learning system delay budget composed of link propagation delay and distributed training time in the location of AIFs.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128498016","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

Find Out: How Do Your Data Packets Travel? 找出:你的数据包是如何传输的?

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9965091

T. Dreibholz, Somnath Mazumdar

引用次数: 1

Integrated Network and End-host Policy Management for Network Slicing 网络切片的集成网络和终端主机策略管理

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964529

Alexander Rabitsch, Themis Anagnostopoulos, Karl-Johan Grinnemo, Joseph McNamara, A. Bosneag, M. Kourtis, G. Xilouris, Özgü Alay, A. Brunström

{"title":"Integrated Network and End-host Policy Management for Network Slicing","authors":"Alexander Rabitsch, Themis Anagnostopoulos, Karl-Johan Grinnemo, Joseph McNamara, A. Bosneag, M. Kourtis, G. Xilouris, Özgü Alay, A. Brunström","doi":"10.23919/CNSM55787.2022.9964529","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9964529","url":null,"abstract":"5G mobile networks introduce the concept of network slicing, the functionality of creating virtual networks on top of shared physical infrastructure. Such slices can be tailored to various vertical services. A single User Equipment (UE) may be served by multiple network slice instances simultaneously, which opens up the possibility of dynamically steering traffic in response to the specific needs of individual applications – and as a reaction to events inside the network, e.g., network failures.This paper presents the PoLicy-based Architecture for Network Slicing (PLANS). In this policy framework, the network slice management entity in the 5G core and the UE can cooperatively optimize the usage of the available network slices via policy systems installed both inside the network and on the UE. The PLANS architecture has been implemented and evaluated in a 5G testbed. For two different case studies, we show how such a system can be leveraged to provide optimized services and increased robustness against network failures. First, we consider a drone autopilot scenario, and demonstrate how PLANS can reduce network-slice recovery time by more than 90%. Second, we illustrate for a 360°video streaming scenario how PLANS can help prevent video quality degradation when a network slice becomes unavailable.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124729149","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

QoS-aware SFC Migration Scheduling Based on Encoder-Decoder RNN for Cloud-Native Platform 基于云原生平台编码器-解码器RNN的qos感知SFC迁移调度

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964715

Takahiro Hirayama, M. Jibiki, T. Miyazawa, Ved P. Kafle

{"title":"QoS-aware SFC Migration Scheduling Based on Encoder-Decoder RNN for Cloud-Native Platform","authors":"Takahiro Hirayama, M. Jibiki, T. Miyazawa, Ved P. Kafle","doi":"10.23919/CNSM55787.2022.9964715","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9964715","url":null,"abstract":"Service function chaining (SFC) provides the plat-form for flexible resource management by dynamically allocating resources to virtual and/or container network functions (VNFs/CNFs). To meet the quality of service (QoS) requirements while facing increasing resource demands, the sys-tem will require the migration of the VNFs/CNFs from the current server to the others that offer sufficient resources. In this study, we formulate an integer linear programming (ILP) based optimization model to solve the function migration scheduling problem so that it meets QoS requirements of each service function (SF) chain. The remarkable points of this work are the following two points. The one is that we consider latency between VNFs/CNFs belonging to an SF chain, avoiding overhead due to their unnecessary migration and resource shortage. And the other is that we consider the case in which each VNF/CNF must be to be deployed strictly to a designated virtual machine (or container). To reduce complexity, we apply an encoder-decoder recurrent neural network (ED-RNN) as a machine learning model to the function migration scheduling problem. Performance evaluations show that the ED-RNN based approach achieves a similar performance as the ILP, while adding the benefits of very low complexity.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"21 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122062626","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

Function-as-a-Service Orchestration in Fog Computing Environments 雾计算环境中的功能即服务编排

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964970

Gaetano Francesco Pittalà, G. Davoli, D. Borsatti, W. Cerroni, C. Raffaelli

引用次数: 3

LOCOMOTIVE 5G Core for 6G ready Resilient and Highly Available Network Slices and SFCs 机车5G核心，适用于6G ready弹性和高可用网络切片和sfc

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964553

Sourav Sarkar, Shwetha Vittal, Antony Franklin A

{"title":"LOCOMOTIVE 5G Core for 6G ready Resilient and Highly Available Network Slices and SFCs","authors":"Sourav Sarkar, Shwetha Vittal, Antony Franklin A","doi":"10.23919/CNSM55787.2022.9964553","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9964553","url":null,"abstract":"The presence of a Load Balancer (LB)s is much significant to keep up the High Availability (HA) and resilience of the scalable 5G Core (5GC). The whole system may collapse just because of inefficient LB at any NF, resulting in total disruption to the High Availability (HA) service. In this paper, we present the LOCOMOTIVE 5GC which outperforms the traditional hot standby in both HA and resilience during various dynamic conditions. LOCOMOTIVE serves 16% (at least) more user requests compared to hot standby in the control plane while handling unexpected overloaded conditions (without the failure of LB). During the failures of LB, it drops 22% lesser user requests than hot standby. With this outstanding resilience, LOCOMOTIVE even achieves 4% better availability than the hot standby in an active-active cluster configuration. To prove the feasibility of LOCOMOTIVE and to encourage further research works in the world of LBs, we developed its entire framework in a 3GPP compliant 5G test-bed system along with eXpress Data Path (XDP) and extended Berkeley Packet Filter (eBPF) framework.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"481 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131579741","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

iRED: Improving the DASH QoS by dropping packets in programmable data planes red:通过在可编程数据平面中丢弃数据包来改善DASH QoS

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964949

L. Almeida, Guilherme Matos, R. Pasquini, C. Papagianni, F. Verdi

{"title":"iRED: Improving the DASH QoS by dropping packets in programmable data planes","authors":"L. Almeida, Guilherme Matos, R. Pasquini, C. Papagianni, F. Verdi","doi":"10.23919/CNSM55787.2022.9964949","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9964949","url":null,"abstract":"Video services account for the largest share of all Internet traffic, demanding a network capable of supporting the requirements of delay-sensitive traffic. Fluctuations in network load can cause high delays in the queues of network routers, which tend to degrade the Quality of Service (QoS) for adaptive video streaming, such as Dynamic Adaptive Streaming over HTTP (DASH). This work is positioned in the scope of active management queues (AQM) to improve the QoS of a DASH service by means of dropping packets. One traditional AQM that adopts a packet drop policy is Random Early Detection (RED), developed to drain the flow in times of congestion and thus reduce queueing delay. We revisited and implemented a P4-based implementation of RED, named iRED (ingress RED), an algorithm capable of dropping packets at the ingress pipeline, an innovation compared to other AQM strategies based on dropping at the egress. iRED was evaluated in two scenarios. First, we compare iRED against state-of-art AQM algorithms employing egress packet dropping in terms of Round-Trip Time (RTT), throughput and their impact on resources usage. Our findings indicate that iRED outperforms existing P4-based approaches by approximately up to 2.5x in RTT and 0.75x in throughput for the given buffer sizes. Next, we compare iRED versus Tail Drop (TD) approach in an emulated programmable Content Delivery Network (CDN) employing DASH. Experiments indicate that the iRED improve the QoS by approximately 0.85x in terms of cached video available in the client’s buffer and 0.9x in Frames Per Second (FPS) played.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131483813","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: 3

ReLI: Real-Time Lightweight Byzantine Consensus in Low-Power IoT-Systems ReLI:低功耗物联网系统中的实时轻量级拜占庭共识

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9965123

H. Goyal, Manish Kausik H, S. Saha

{"title":"ReLI: Real-Time Lightweight Byzantine Consensus in Low-Power IoT-Systems","authors":"H. Goyal, Manish Kausik H, S. Saha","doi":"10.23919/CNSM55787.2022.9965123","DOIUrl":"https://doi.org/10.23919/CNSM55787.2022.9965123","url":null,"abstract":"IoT/WSN assisted smart-systems are making our living easier and more comfortable in various aspects. However, there is always a chance of malfunctioning in such massive decentralized systems in crucial moments because of one or more components of the system getting compromised. For instance, monitoring systems installed to watch the status of a bridge may unknowingly suppress the recent deterioration in the status because of some compromised sensing devices. Byzantine fault tolerance support is highly essential in combating the presence of such smart devices with malicious intentions. However, existing solutions for consensus or data aggregation in IoT/WSN systems either assume non-Byzantine node failures or use only simulation/theoretical models to address the existence of Byzantine nodes. Theoretically, a decentralized system can effectively tolerate Byzantine characteristics of up to a certain fraction of the nodes. However, to achieve even that, the nodes need to interact extensively and share data with each other which makes it challenging for such solutions to get practically realized and produce outcomes in real-time, especially in resource-constrained IoT systems. In this work, we adopt Synchronous-Transmission based mechanisms and propose a framework ReLI to efficiently achieve Byzantine consensus in low-power IoT systems. We show that ReLI can operate up to 80% faster and consume up to 78% lesser radio-on time compared to the traditional implementation of the strategy in a publicly available IoT/WSN testbed containing 45 nodes.","PeriodicalId":232521,"journal":{"name":"2022 18th International Conference on Network and Service Management (CNSM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124690924","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: 8

Black-box Attacks to Log-based Anomaly Detection 黑盒攻击到基于日志的异常检测

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964935

Shaohan Huang, Yi Liu, Carol J. Fung, Hailong Yang, Zhongzhi Luan

引用次数: 0

Private Cellular Network Deployment: Comparison of OpenAirInterface with Magma Core 专用蜂窝网络部署:OpenAirInterface与Magma Core的比较

2022 18th International Conference on Network and Service Management (CNSM) Pub Date : 2022-10-31 DOI: 10.23919/CNSM55787.2022.9964713

Nischal Aryal, Fariba Ghaffari, Saeid Rezaei, E. Bertin, N. Crespi

引用次数: 2