{"title":"DPDK- fqm: DPDK中队列管理算法框架","authors":"Archit Pandey, Gokul Bargaje, Avinash, Sanjana Krishnam, Tarun Anand, Leslie Monis, M. Tahiliani","doi":"10.1109/NFV-SDN50289.2020.9289914","DOIUrl":null,"url":null,"abstract":"The advantages of Network Function Virtualization (NFV) have attracted many use cases ranging from virtual Customer Premises Equipment (vCPE) to virtual Radio Access Network (vRAN) and virtual Evolved Packet Core (vEPC). Fast packet processing libraries such as Data Plane Development Kit (DPDK) are necessary to enable NFV. Currently, DPDK provides a framework for Quality of Service (QoS) which is used for queue management, traffic shaping and policing, but it lacks a general purpose queue management framework. In this paper, we propose DPDK-FQM, a framework to implement queue management algorithms in DPDK, run them and collect the desired statistics. Subsequently, we implement Proportional Integral controller Enhanced (PIE) and Controlled Delay (CoDel) queue management algorithms by using the proposed framework. We develop a new DPDK application to demonstrate the usage of APIs in DPDK-FQM, and verify the correctness of the framework and implementations of PIE and CoDel. Our experiments on a high speed network testbed show that PIE and CoDel exhibit their key characteristics by controlling the queue delay at a desired target, while fully utilizing the bottleneck bandwidth.","PeriodicalId":283280,"journal":{"name":"2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DPDK-FQM: Framework for Queue Management Algorithms in DPDK\",\"authors\":\"Archit Pandey, Gokul Bargaje, Avinash, Sanjana Krishnam, Tarun Anand, Leslie Monis, M. Tahiliani\",\"doi\":\"10.1109/NFV-SDN50289.2020.9289914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advantages of Network Function Virtualization (NFV) have attracted many use cases ranging from virtual Customer Premises Equipment (vCPE) to virtual Radio Access Network (vRAN) and virtual Evolved Packet Core (vEPC). Fast packet processing libraries such as Data Plane Development Kit (DPDK) are necessary to enable NFV. Currently, DPDK provides a framework for Quality of Service (QoS) which is used for queue management, traffic shaping and policing, but it lacks a general purpose queue management framework. In this paper, we propose DPDK-FQM, a framework to implement queue management algorithms in DPDK, run them and collect the desired statistics. Subsequently, we implement Proportional Integral controller Enhanced (PIE) and Controlled Delay (CoDel) queue management algorithms by using the proposed framework. We develop a new DPDK application to demonstrate the usage of APIs in DPDK-FQM, and verify the correctness of the framework and implementations of PIE and CoDel. Our experiments on a high speed network testbed show that PIE and CoDel exhibit their key characteristics by controlling the queue delay at a desired target, while fully utilizing the bottleneck bandwidth.\",\"PeriodicalId\":283280,\"journal\":{\"name\":\"2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NFV-SDN50289.2020.9289914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NFV-SDN50289.2020.9289914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
网络功能虚拟化(NFV)的优势吸引了许多用例,从虚拟客户端设备(vCPE)到虚拟无线接入网(vRAN)和虚拟演进分组核心(vEPC)。数据平面开发工具包(Data Plane Development Kit, DPDK)等快速数据包处理库是实现NFV的必要条件。目前,DPDK提供了用于队列管理、流量整形和监管的服务质量(QoS)框架,但缺乏通用的队列管理框架。在本文中,我们提出了DPDK- fqm框架来实现DPDK中的队列管理算法,并运行它们并收集所需的统计信息。随后,我们利用所提出的框架实现了比例积分控制器增强(PIE)和控制延迟(CoDel)队列管理算法。我们开发了一个新的DPDK应用程序来演示DPDK- fqm中api的使用,并验证了PIE和CoDel的框架和实现的正确性。我们在高速网络试验台上的实验表明,PIE和CoDel在充分利用瓶颈带宽的同时,能够在期望的目标上控制队列延迟,从而显示出它们的关键特性。
DPDK-FQM: Framework for Queue Management Algorithms in DPDK
The advantages of Network Function Virtualization (NFV) have attracted many use cases ranging from virtual Customer Premises Equipment (vCPE) to virtual Radio Access Network (vRAN) and virtual Evolved Packet Core (vEPC). Fast packet processing libraries such as Data Plane Development Kit (DPDK) are necessary to enable NFV. Currently, DPDK provides a framework for Quality of Service (QoS) which is used for queue management, traffic shaping and policing, but it lacks a general purpose queue management framework. In this paper, we propose DPDK-FQM, a framework to implement queue management algorithms in DPDK, run them and collect the desired statistics. Subsequently, we implement Proportional Integral controller Enhanced (PIE) and Controlled Delay (CoDel) queue management algorithms by using the proposed framework. We develop a new DPDK application to demonstrate the usage of APIs in DPDK-FQM, and verify the correctness of the framework and implementations of PIE and CoDel. Our experiments on a high speed network testbed show that PIE and CoDel exhibit their key characteristics by controlling the queue delay at a desired target, while fully utilizing the bottleneck bandwidth.