2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)最新文献_第4页

FOCUS: Function Offloading from a Controller to Utilize Switch power 焦点:功能从控制器卸载，以利用开关电源

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-11-01 DOI: 10.1109/NFV-SDN.2016.7919498

Ji Yang, Xiaowei Yang, Zhenyu Zhou, Xin Wu, Theophilus A. Benson, Chengchen Hu

{"title":"FOCUS: Function Offloading from a Controller to Utilize Switch power","authors":"Ji Yang, Xiaowei Yang, Zhenyu Zhou, Xin Wu, Theophilus A. Benson, Chengchen Hu","doi":"10.1109/NFV-SDN.2016.7919498","DOIUrl":"https://doi.org/10.1109/NFV-SDN.2016.7919498","url":null,"abstract":"Software Defined Networking (SDN) uses a logically centralized controller to replace the distributed control plane in a traditional network. One of the central challenges faced by the SDN paradigm is the scalability of the logical controller. As a network grows in size, the computational and communication demand faced by a controller may soon exceed the capabilities of a commodity server. In this work, we revisit the task division of labour between the controller and switches, and propose FOCUS, an architecture that offloads a specific subset of control functions, i.e., stable local functions, to the switches' software stack. We implemented a prototype of FOCUS and analyzed the benefits of converting several SDN applications. Due to space restrictions, we only present results for ARP, LLDP and elephant flow detection. Our initial results are promising and they show that FOCUS can reduce a controller's communication overhead by 50% to nearly 100%, and the computational overhead from 80% to 98%. Furthermore, we observe that FOCUS offloading to the switches saves switch CPU because FOCUS reduces the overheads for communication with the controller.","PeriodicalId":448203,"journal":{"name":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124484925","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

Load balancing - towards balanced delay guarantees in NFV/SDN 负载均衡——在NFV/SDN中实现均衡的延迟保证

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-11-01 DOI: 10.1109/NFV-SDN.2016.7919504

Hao Wang, J. Schmitt

{"title":"Load balancing - towards balanced delay guarantees in NFV/SDN","authors":"Hao Wang, J. Schmitt","doi":"10.1109/NFV-SDN.2016.7919504","DOIUrl":"https://doi.org/10.1109/NFV-SDN.2016.7919504","url":null,"abstract":"The goals of load balancing are diverse. We may distribute the load to servers in order to achieve the same utilizations or average latencies. However, these goods are not a perfect fit in virtualized or software-defined networks. First, it is more difficult to assume homogeneous server capacities. Even for two (virtualized) functions with the same capacities, the capacities seen by the customer might be heterogeneous simply because they belong to different providers, are shared by others, or locate themselves differently and the communication costs are different. Heterogeneous server capacity will blur the aim of keeping the same utilizations. Second, usually the metric of latency in those networks is the (stochastic) bound instead of average value. In this paper, we parameterize the server capacities, and use the stochastic latency bound as the metric to further support inferring load balancing. We also model the load balancing process as a Markov-modulated process and observe the influence of its parameters onto achieving balance. The proposed model will benefit the load balancing function implementation and infrastructure design in virtualized or software-defined networks.","PeriodicalId":448203,"journal":{"name":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132353825","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

Fault tolerant mechanisms for SDN controllers SDN控制器的容错机制

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-11-01 DOI: 10.1109/NFV-SDN.2016.7919494

Liran Sidki, Y. Ben-Shimol, Akiva Sadovski

引用次数: 32

Towards Policy Enforcement Point as a Service (PEPS) 策略实施点即服务(PEPS)

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-10-08 DOI: 10.1109/NFV-SDN.2016.7919475

Arash Shaghaghi, M. Kâafar, Sandra Scott-Hayward, S. Kanhere, Sanjay Jha

引用次数: 4

MeDICINE: Rapid prototyping of production-ready network services in multi-PoP environments 医学:在多pop环境中快速构建生产就绪网络服务的原型

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-06-20 DOI: 10.1109/NFV-SDN.2016.7919490

Manuel Peuster, H. Karl, S. V. Rossem

{"title":"MeDICINE: Rapid prototyping of production-ready network services in multi-PoP environments","authors":"Manuel Peuster, H. Karl, S. V. Rossem","doi":"10.1109/NFV-SDN.2016.7919490","DOIUrl":"https://doi.org/10.1109/NFV-SDN.2016.7919490","url":null,"abstract":"Virtualized network services consisting of multiple individual network functions are already today deployed across multiple sites, so called multi-PoP (points of presence) environments. This allows to improve service performance by optimizing its placement in the network. But prototyping and testing of these complex distributed software systems becomes extremely challenging. The reason is that not only the network service as such has to be tested but also its integration with management and orchestration systems. Existing solutions, like simulators, basic network emulators, or local cloud testbeds, do not support all aspects of these tasks. To this end, we introduce MeDICINE, a novel NFV prototyping platform that is able to execute production-ready network functions, provided as software containers, in an emulated multi-PoP environment. These network functions can be controlled by any third-party management and orchestration system that connects to our platform through standard interfaces. Based on this, a developer can use our platform to prototype and test complex network services in a realistic environment running on his laptop.","PeriodicalId":448203,"journal":{"name":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130260446","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: 141

COMPARE: Comparative Advantage driven resource allocation for Virtual Network Functions 比较:比较优势驱动的虚拟网络功能资源分配

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 2016-03-09 DOI: 10.2139/ssrn.2745661

B. Huberman, P. Sharma

{"title":"COMPARE: Comparative Advantage driven resource allocation for Virtual Network Functions","authors":"B. Huberman, P. Sharma","doi":"10.2139/ssrn.2745661","DOIUrl":"https://doi.org/10.2139/ssrn.2745661","url":null,"abstract":"As Communication Service Providers (CSPs) adopt the Network Function Virtualization (NFV) paradigm they need to transition their network function capacity to a virtualized infrastructure with different Network Functions (NFs) running on a set of heterogeneous servers. This paper describes a novel technique for allocating server resources (compute, storage and network) for a given set of Virtual Network Function (VNF) requirements. Our approach helps the telecommunication providers decide the most effective way to run several VNFs on servers with different performance characteristics. Our analysis of prior VNF performance characterization on heterogeneous/different server resource allocations shows that the ability to arbitrarily create many VNFs among different servers' resource allocations leads to a comparative advantage among servers. We propose a VNF resource allocation method called COMPARE that maximizes the total throughput of the system by formulating this resource allocation problem as a comparative advantage problem among heterogeneous servers. There are several applications for using the VNF resource allocation from COMPARE including transitioning current Telco deployments to NFV based solutions and providing initial VNF placement for Service Function Chain (SFC) provisioning. We use analytic proof and illustrative examples to demonstrate optimality of COMPARE algorithm.","PeriodicalId":448203,"journal":{"name":"2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122383431","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: 5

Security policy transition framework for Software Defined networks 软件定义网络的安全策略转换框架

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 1900-01-01 DOI: 10.1109/NFV-SDN.2016.7919476

Jacob H. Cox, R. Clark, H. Owen

引用次数: 7

Resilient allocation of service Function chains 业务功能链的弹性分配

2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Pub Date : 1900-01-01 DOI: 10.1109/NFV-SDN.2016.7919487

Michael Till Beck, J. F. Botero, Kai Samelin

引用次数: 65