1 / 8

LSP Provisioning Performance Metrics in GMPLS Networks

This document discusses the need for measuring and characterizing LSP provisioning performance in GMPLS networks and defines standardized metrics to maximize understanding between service providers and network users.

ty
Download Presentation

LSP Provisioning Performance Metrics in GMPLS Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Label Switched Path (LSP) Dynamical Provisioning Performance Metrics in Generalized MPLS Networksdraft-xie-ccamp-lsp-dppm-00.txt Guowu Xie,SJTU Guoying Zhang, CATR MII Jianghui Han, IXIA Xueqing Wei, Fiberhome Jianhua Gao, Huawei

  2. Motivations • Why need for measuring and characterizing LSP provisioning performance in GMPLS networks. • Requirements of dynamical provisioning capability in GMPLS Networks: interactive broadband multimedia services. • Let the requirement of applications and the provisioning capability of the network be mapped to each other • Essential to the GMPLS network maintenance and optimization. • Standardized metrics and the way to measure them precisely should be defined. • The objective is to maximize common understanding of LSP provisioning performance between the service providers and network users.

  3. Methodology • GMPLS LSP performance measurement is similar to IP network: • GMPLS control plane is a packet switched network • the LSP setup/release delay is similar to the round-trip Delay in IP networks. • We use the structures and notions introduced and discussed in the IPPM framework document, [RFC2330] [RFC2679] [RFC2681], and we define the metrics according to GMPLS specific message exchange scenarios.

  4. Outlines • Singleton definition of performance metrics • Unidirectional LSP Setup Delay • Bidirectional LSP Setup Delay • LSP Graceful Release Delay • Samples definition of performance metrics • pseudo-random Poisson process is used • Other models may be choosed • Statistics Performance • Min/Max/Median/Percentile • Variance

  5. Outlines • Measuring these metrics is important for applications scheduling. • Longer LSP setup delay will incur higher overhead for the requesting application. • Also reflects the status of control plane. • For LSPs traversing the same route, longer setup delays may imply congestion in the control channel or high control element load.

  6. Real Network Demonstration • China High Performance Broadband Information Network (3TNET) ----863 project Sponsored by the Ministry of Science and Technology. • Circuit-switched and packet-switched hybrid network to support large-scale interactive broadband streaming media. • Network Infrastructure: IP +ASON/GMPLS+DWDM • Services: VOD, DVB-IP, high speed Internet access • ASON/GMPLS network has some enhanced features of burst scheduling and multicasting, to provide dynamic and automated provisioning of end-to-end Ethernet connections to media server and IPTV head-ends. • Dynamic point-to-multipoint connections for IP head-ends • Periodic connection provisioning for media server, every 10 secs

  7. Measured Performance in the Field Trial • Delay Variance observed at any load. Higher load will lead to higher variance and longer setup/release delay. Average setup delay 668 ms 99.9% setup delay less than 1000ms

  8. Open Issues • time synchronization between the testing nodes • other circumstances, such as point-to-multipoint multicast LSP, LSP rerouting • Enhancement of MIBs: support monitoring of LSP provisioning metrics on GMPLS nodes, for maintenance/optimization. • Expect to receive feedbacks and suggestions!

More Related