2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)最新文献_第2页

The actual cost of software switching for NFV chaining NFV链的实际软件交换成本

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987296

M. C. Luizelli, D. Raz, Yaniv Sa'ar, Jose Yallouz

{"title":"The actual cost of software switching for NFV chaining","authors":"M. C. Luizelli, D. Raz, Yaniv Sa'ar, Jose Yallouz","doi":"10.23919/INM.2017.7987296","DOIUrl":"https://doi.org/10.23919/INM.2017.7987296","url":null,"abstract":"Network Function Virtualization (NFV) is a novel paradigm that enables flexible and scalable implementation of network services on cloud infrastructure. An important enabler for the NFV paradigm is software switching, which should satisfy rigid network requirements such as high throughput and low latency. Despite recent research activities in the field of NFV, not much attention was given to understand the costs of software switching in NFV deployments. Existing approaches for traffic steering and orchestration of virtual network functions either neglect the cost of software switching or assume that it can be provided as an input, and therefore real NFV deployments of network services are often suboptimal. In this work, we conduct an extensive and in-depth evaluation that examines the impact of service chaining deployments on Open vSwitch - the de facto standard software switch for cloud environments. We provide insights on network performance metrics such as throughput, CPU utilization and packet processing, while considering different placement strategies of a service chain. We then use these insights to provide an abstract generalized cost function that accurately captures the CPU switching cost of deployed service chains. This cost is an essential building block for any practical optimized placement management and orchestration strategy for NFV service chaining.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114945640","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: 18

CloudSim Plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness CloudSim Plus:一个云计算模拟框架，遵循软件工程原则，以改进模块化、可扩展性和正确性

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987304

Manoel C. Silva Filho, Raysa L. Oliveira, C. C. Monteiro, Pedro R. M. Inácio, M. Freire

引用次数: 115

Content Poisoning in Named Data Networking: Comprehensive characterization of real deployment 命名数据网络中的内容中毒:真实部署的综合表征

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987266

Tan N. Nguyen, Xavier Marchal, G. Doyen, Thibault Cholez, R. Cogranne

{"title":"Content Poisoning in Named Data Networking: Comprehensive characterization of real deployment","authors":"Tan N. Nguyen, Xavier Marchal, G. Doyen, Thibault Cholez, R. Cogranne","doi":"10.23919/INM.2017.7987266","DOIUrl":"https://doi.org/10.23919/INM.2017.7987266","url":null,"abstract":"Information Centric Networking (ICN) is seen as a promising solution to re-conciliate the Internet usage with its core architecture. However, to be considered as a realistic alternative to IP, ICN must evolve from a pure academic proposition deployed in test environments to an operational solution in which security is assessed from the protocol design to its running implementation. Among ICN solutions, Named Data Networking (NDN), together with its reference implementation NDN Forwarding Daemon (NFD), acts as the most mature proposal but its vulnerability against the Content Poisoning Attack (CPA) is considered as a critical threat that can jeopardize this architecture. So far, existing works in that area have fallen into the pit of coupling a biased and partial phenomenon analysis with a proposed solution, hence lacking a comprehensive understanding of the attack's feasibility and impact in a real network. In this paper, we demonstrate through an experimental measurement campaign that CPA can easily and widely affect NDN. Our contribution is threefold: (1) we propose three realistic attack scenarios relying on both protocol design and implementation weaknesses; (2) we present their implementation and evaluation in a testbed based on the latest NFD version; and (3) we analyze their impact on the different ICN nodes (clients, access and core routers, content provider) composing a realistic topology.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124190478","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: 36

Neev: A cognitive support agent for content improvement in hardware tickets Neev:用于硬件票证内容改进的认知支持代理

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987285

Nishtha Madaan, Gautam Singh, Arun Kumar, Gargi Dasgupta

{"title":"Neev: A cognitive support agent for content improvement in hardware tickets","authors":"Nishtha Madaan, Gautam Singh, Arun Kumar, Gargi Dasgupta","doi":"10.23919/INM.2017.7987285","DOIUrl":"https://doi.org/10.23919/INM.2017.7987285","url":null,"abstract":"IT service providers differentiate themselves through offering after-sales support for hardware and software products. Thus, businesses, including large corporations, have intricate work-flows for servicing such support requests while reducing man-hours needed. These work-flows generally operate through a ticketing system for resolving customer issues. A lot of man-hours are spent in searching old tickets for correct problem and resolution for such issues. Support requests pertaining to enterprise hardware are more challenging than desktop support for end-user products. Enterprise hardware requires deeper diagnosis involving several systems and expertise of multiple agents. In this work we propose a cognitive agent, Neev, which helps in mitigating the problem in a three-fold fashion (1) retrieving a summary of relevant ticket text (2) Tagging the relevant parts as a part-of-the-problem or a part-of-the-solution (3) Focusing on the precise problem and solution. We evaluate the performance of our system using a rank-based metric where a ticket extraction is successful if the problem or solution occur in the top-n suggestions. We report the results for varying top-n values for both problem and solution on varying severity of the tickets. We find that the accuracy for problem extraction in top-1 is 62% and it reaches 86% and 94% for top-3 and top-5 cases, respectively. Furthermore, the accuracy for solution extraction reaches 62% and 88% for top-3 and top-8 cases, respectively.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132793742","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

Hybrid Radio Frequency and Free Space Optical communication for 5G backhaul 5G回程混合射频和自由空间光通信

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987343

Da Feng, Weiqiang Sun, Weisheng Hu

{"title":"Hybrid Radio Frequency and Free Space Optical communication for 5G backhaul","authors":"Da Feng, Weiqiang Sun, Weisheng Hu","doi":"10.23919/INM.2017.7987343","DOIUrl":"https://doi.org/10.23919/INM.2017.7987343","url":null,"abstract":"5G backhaul requires high bandwidth and hybrid Radio Frequency/ Free Space Optical (RF/FSO) Communication offers Gbps links. The weather affects availability of both mmW RF and FSO links. Below cloud ceiling, the availability of hybrid RF/FSO link is above 85.7% and it can only be used for deadline-constrained large data transfers. At 17–22km above ground, the bit error rate of FSO links reaches below 10−3 and it can be used for delay-sensitive packet transfers. In this work, first, we propose a method to determine the required number of wavelengths and storage size for large data transfers and second, we propose a distributed implementation of automatic repeat request protocol to support 10Gbps bandwidth and millisecond delay for delay-sensitive packet transfers. The simulation results show the following: With link availability of 0.85, blocking rate of 0.05 can be achieved for large data transfers, which indicates 0.05 of the cost of transferring data over 5G dmW spectrum is necessary to guarantee deadline. The distributed implementation of automatic repeat request has similar performance with selective repeat. Both theoretical and simulation results show if load exceeds 0.9 of maximum load allowed by packet error probability, delay increases about 20% drastically.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131867425","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: 6

Efficient probing of heterogeneous IoT networks 异构物联网网络的高效探测

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987437

Lionel Metongnon, E. C. Ezin, R. Sadre

引用次数: 13

SDN policy-driven service chain placement in OpenStack 在OpenStack中放置SDN策略驱动的服务链

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987374

M. Stein, M. Scharf, V. Hilt

{"title":"SDN policy-driven service chain placement in OpenStack","authors":"M. Stein, M. Scharf, V. Hilt","doi":"10.23919/INM.2017.7987374","DOIUrl":"https://doi.org/10.23919/INM.2017.7987374","url":null,"abstract":"Network functions virtualization requires automatic deployment and scaling of components. This raises the question of where to place instances of a function, for instance in the OpenStack cloud system. Data plane functions can forward large amounts of traffic. In this case, network-aware placement can avoid an inefficient use of host bandwidth, and a chain of functions can benefit from co-locating instances on a host. However, a practical challenge is that the bandwidth utilization or traffic demand matrix is not always known before the deployment of an instance. A promising remedy is to leverage existing Software Defined Networking (SDN) policies to derive connectivity weights between components. In this paper, we present this novel solution to the online instance placement problem. We have developed an extension of the OpenStack scheduler that uses SDN forwarding policies to rank potential hosts. For a given type of virtual machine, the corresponding forwarding policies can be retrieved from an SDN controller prior to the placement decision. Our prototype identifies potential communication peers and weighs the forwarding rules to prefer hosts that already run communication peers. We present heuristics for such weighing, and we also discuss limitations of the approach. A testbed implementation proofs that even in a simple example our solution can double the service chain throughput.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131067525","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: 6

Receive Buffer based Path Management for MPTCP in heterogeneous networks 异构网络中基于接收缓冲区的MPTCP路径管理

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987351

Jinhwan Kim, Bong-Hwan Oh, Jaiyong Lee

引用次数: 18

Learning in SDN-based multi-tenant cellular networks: A game-theoretic perspective 基于sdn的多租户蜂窝网络学习:博弈论视角

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987414

Omer Narmanlioglu, E. Zeydan

{"title":"Learning in SDN-based multi-tenant cellular networks: A game-theoretic perspective","authors":"Omer Narmanlioglu, E. Zeydan","doi":"10.23919/INM.2017.7987414","DOIUrl":"https://doi.org/10.23919/INM.2017.7987414","url":null,"abstract":"In order to cope with the challenges of increasing user bandwidth demands as well as create new revenues by offering innovative services and applications, Mobile Network Operators (MNOs) are willing to increase their networks' capabilities by making it more flexible, programmable and agile. MNOs are also seeking new technologies to benefit from recent advances in cloud for rapid deployments and elastically scaling services that cloud providers are mostly benefiting today. On one hand, Software-Defined Networking (SDN) concept can be helpful for enabling network infrastructure sharing/slicing and elasticity for “softwarization” of network elements. On the other hand, machine learning and game-theoretical concepts can also be utilized to address network management and orchestration needs of services and applications and improve network infrastructure's operational needs. In that regard, joint utilization of machine learning, game theoretical approaches and SDN concepts for network slicing can be beneficial to MNOs as well as infrastructure providers. In this paper, we utilize regret-matching based learning approach for efficient Radio Remote Head (RRH) assignments among MNOs in software-defined based cloud radio access network (C-RAN). Using game-theoretical approach, we demonstrate convergence of RRH allocations to mixed strategy Nash equilibrium and present significant performance improvements compared to traditional assignment approach.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122136201","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

A distributed NFV orchestrator based on BDI reasoning 基于BDI推理的分布式NFV编排器

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987270

Frederico Schardong, Ingrid Nunes, A. E. S. Filho

引用次数: 5