2019 15th International Conference on Network and Service Management (CNSM)最新文献

Formal Verification of Orchestration Templates for Reliable Deployment with OpenStack Heat* OpenStack Heat可靠部署业务流程模板的形式化验证*

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012739

Adja Ndeye Sylla, K. Guillouard, F. Klamm, M. Ouzzif, Philippe Merle, S. B. Rayana, J. Stefani

引用次数: 0

Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems 异构工业物联网系统之间的通信挑战和解决方案

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012664

Dániel Kozma, G. Soós, Dániel Ficzere, P. Varga

引用次数: 11

TradeMap: A FINMA-compliant Anonymous Management of an End-2-end Trading Market Place TradeMap:符合finma的端对端交易市场的匿名管理

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012706

Sina Rafati Niya, Sebastian Allemann, Arik Gabay, B. Stiller

引用次数: 7

A Composition Selection Mechanism for Chaining and Placement of Virtual Network Functions 虚拟网络功能链接与放置的组合选择机制

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012746

S. Araújo, F. S. Souza, G. Mateus

{"title":"A Composition Selection Mechanism for Chaining and Placement of Virtual Network Functions","authors":"S. Araújo, F. S. Souza, G. Mateus","doi":"10.23919/CNSM46954.2019.9012746","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012746","url":null,"abstract":"Virtual Network Functions (VNF) reduce the complexity to deploy a Network Service (NS), yielding flexibility, and scalability to attend new market appliances and minimizing the required investments. An ordered set of VNFs to serve a NS is called a Service Function Chain (SFC). Most of the literature works deal with SFCs generation and embedding as independent problems, not taking into account the residual substrate network (SN) status during the SFCs generation stage. Furthermore, a NS can award some flexibility regarding the VNFs sequence, i.e., only a subset of VNFs have a fixed precedence requirement. Following this idea, the network operator may enjoy some options to serve a NS. In this work, we introduce a new embedding approach which selects the SFC composition that best fits the residual SN, leading to a better performance in the chaining and placement of VNFs. The results showed that the composition selection mechanism increases performance compared to traditional models that use a fixed composition, improving resources sharing, and increasing the network operator revenues. Also, we demonstrated that the generation of an optimal SFC for a NS does not always lead to the best acceptance rates in a network with partially consumed resources.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792598","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

Geographic Clustering Based Mobile Edge Computing Resource Allocation Optimization Mechanism 基于地理聚类的移动边缘计算资源分配优化机制

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012698

Song Kang, Linna Ruan, Shaoyong Guo, Wencui Li, Xue-song Qiu

{"title":"Geographic Clustering Based Mobile Edge Computing Resource Allocation Optimization Mechanism","authors":"Song Kang, Linna Ruan, Shaoyong Guo, Wencui Li, Xue-song Qiu","doi":"10.23919/CNSM46954.2019.9012698","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012698","url":null,"abstract":"With the development of Internet of Things (IoT), a large number of terminals and devices are connected to the network. Mobile edge computing (MEC) is proposed to assist cloud computing, to relieve the pressure of network and satisfy the requirements of delay-sensitive applications. Considering reasonable allocation of computing resources is the most important aspect corresponding to delay, this paper designs geographic clustering and collaborative scheduling (GC-CS) mechanism. This mechanism can be divided into two parts, which are the decentralized deployment of MEC servers and the resource allocation optimization in MEC. For the first part, this paper designs the load balancing based geographic clustering (LBGC) algorithm which combines the idea of greedy algorithm to realize the initial allocation of computing resources. For the second part, delay minimization oriented collaborative scheduling (DMCS) algorithm is designed to decrease the response delay without increasing system overhead. Finally, the effectiveness of the mechanism is verified by simulation in the IoT scene.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768358","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: 7

A Study of Simple Partially-Recovered Sensor Data Imputation Methods 简单的部分恢复传感器数据输入方法研究

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012748

C. Sydora, Johannes Jung, I. Nikolaidis

引用次数: 0

Predicting Distributions of Waiting Times in Customer Service Systems using Mixture Density Networks 使用混合密度网络预测客户服务系统的等待时间分布

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012688

Majid Raeis, A. Tizghadam, A. Leon-Garcia

引用次数: 5

Building Hybrid Virtual Network Functions with eXpress Data Path 用eXpress数据路径构建混合虚拟网络功能

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012730

N. V. Tu, Jae-Hyoung Yoo, J. W. Hong

{"title":"Building Hybrid Virtual Network Functions with eXpress Data Path","authors":"N. V. Tu, Jae-Hyoung Yoo, J. W. Hong","doi":"10.23919/CNSM46954.2019.9012730","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012730","url":null,"abstract":"Network Function Virtualization (NFV) decouples network functions from dedicated, proprietary hardware into software Virtual Network Functions (VNFs) that can run on standard, commodity servers. One challenge of NFV is to provide high-throughput and low-latency network services. In this paper, we propose eVNF - a hybrid architecture to build and accelerate VNFs with eXpress Data Path (XDP). XDP is a Linux kernel framework that enables high-performance and programmable network processing. However, the programmability of XDP is limited to ensure kernel safety, thus causing difficulties in applying XDP to NFV. eVNF solves this problem by taking a hybrid approach: leave the simple but critical tasks inside the kernel with XDP, and let complex tasks be processed outside XDP, e.g., in user-space. With the hybrid architecture, eVNF allows building fast and flexible VNFs. We used eVNF to build three prototype VNFs: Firewall (eFW), Deep Packet Inspection (eDPI), and Load Balancer (eLB). We evaluated these VNFs in two service function chains using OpenStack. Our experiments showed that eVNF can significantly improve service throughput as well as reduce latency and CPU usage.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132444595","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: 7

SD-FAST: A Packet Rerouting Architecture in SDN SD-FAST: SDN中的分组重路由体系结构

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012703

M. A. Moyeen, Fangye Tang, Dipon Saha, I. Haque

引用次数: 5

Energy Efficient Scheduling for Networked IoT Device Software Update 网络物联网设备软件更新的节能调度

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012742

Ngoc H. Bui, Chuan Pham, K. Nguyen, M. Cheriet

{"title":"Energy Efficient Scheduling for Networked IoT Device Software Update","authors":"Ngoc H. Bui, Chuan Pham, K. Nguyen, M. Cheriet","doi":"10.23919/CNSM46954.2019.9012742","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012742","url":null,"abstract":"Software in IoT devices needs to be improved regularly to adapt security issues and new user requirements. In advanced IoT networks, devices employ the component-based software architecture in which components can be updated at run-time, such devices can download software components from neighbors, enabling fast distribution of updates in the entire network. One of the most energy consuming operations in the update process is flash re-writing in which the order of re-writing components into the flash memory is decisive for energy consumption. In this paper, we propose a mechanism that schedules updates in an entire IoT network to minimize the energy consumption, while satisfying the deadline constraint for updating all the devices. We mathematically formulate the problem of energy efficient update scheduling as an optimization problem with a novel energy model of the update process, then propose an algorithm to approximate the optimal schedule for updating all devices in the network. We examine the proposed algorithm in three different network instances including a tree, a partial mesh and a full mesh topology. Simulation results illustrate that our algorithm can obtain a near optimum which is, in the best case, only 3.2% different from the minimum.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116907021","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