Enable customers to optimally tune their network performance with real time information and proactive recommendations.

Similar documents
Jolata Overview real-time precise

Precision Time Protocol (PTP/IEEE-1588)

SYNCHRONIZATION IN PACKET NETWORKS: TIMING METRICS AND MONITORING

Synchronized Network Analy4cs and Real- Time Performance Op4miza4on

SLA Monitoring in Next Generation Networks. Charles Barry CEO, Brilliant Telecommunications ITSF, London, November 2007

Timing over Packet. Technical Brief

Synchronization Essentials of VoIP WHITE PAPER

Cisco Bandwidth Quality Manager 3.1

Best Practices for Testing Ethernet and Network Synchronization at the Cell Site

Performance Evaluation of VoIP Services using Different CODECs over a UMTS Network

Packet Synchronization in Cellular Backhaul Networks By Patrick Diamond, PhD, Semtech Corporation

Technical Bulletin. Enabling Arista Advanced Monitoring. Overview

ALTERNATIVE BACKHAUL AND DATA OFFLOAD SOLUTIONS FOR GSM AND UMTS OPERATORS

The Role of Precise Timing in High-Speed, Low-Latency Trading

Ethernet Service OAM. Standards and Functionality. Connectivity Fault Management (CFM) Fault Detection. White Paper

IP SLAs Overview. Finding Feature Information. Information About IP SLAs. IP SLAs Technology Overview

Securing GNSS with PTP & SyncE Adam Wertheimer Microsemi Adam.Wertheimer@microsemi.com. Power Matters

The Quality of Internet Service: AT&T s Global IP Network Performance Measurements

Distributed Monitoring Pervasive Visibility & Monitoring, Selective Drill-Down

Use of MPLS in Mobile Backhaul Networks

Precision Time Protocol on Linux ~ Introduction to linuxptp

Agenda. clock tower in old city of Neuchatel ADVA Optical Networking. All rights reserved.

A Look at SyncE and IEEE 1588

Business Case for Brocade Network Analytics for Mobile Network Operators

VoIP Timing and Synchronization Best Practices

Please purchase PDF Split-Merge on to remove this watermark.

Proactive Video Assurance through QoE and QoS Correlation

Quality of Service (QoS) and Quality of Experience (QoE) VoiceCon Fall 2008

Synchronization Requirements in Cellular Networks over Ethernet

GPON in Mobile Backhaul

Product Overview. Steve Erickson

Chapter 11: WAN. Abdullah Konak School of Information Sciences and Technology Penn State Berks. Wide Area Networks (WAN)

BUILDING BETTER BACKHAUL EVERYWHERE

The ISP Column A monthly column on all things Internet

Whitepaper. 10 Metrics to Monitor in the LTE Network. blog.sevone.com

Business Intelligence and Policies to Drive Profitable Mobile Broadband Services

Technical Bulletin. Arista LANZ Overview. Overview

WIRELESS IN THE METRO PACKET MICROWAVE EXPLAINED

How To Monitor And Test An Ethernet Network On A Computer Or Network Card

SPIRENT PERFORMANCE MONITORING FOR ETHERNET QUALITY OF SERVICE SPIRENT TESTCENTER LIVE PERFORMANCE MONITORING

Observer Analysis Advantages

Using TrueSpeed VNF to Test TCP Throughput in a Call Center Environment

NetComplete Ethernet Performance Management. Ethernet Performance and SLA Monitoring Application

Maintaining Non-Stop Services with Multi Layer Monitoring

Traffic. Data Dominant. Time. Figure 1. Wireless network traffic timescale

Network-Wide Class of Service (CoS) Management with Route Analytics. Integrated Traffic and Routing Visibility for Effective CoS Delivery

Performance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow

CISCO IOS IP SERVICE LEVEL AGREEMENTS: ASSURE THE DELIVERY OF IP SERVICES AND APPLICATIONS

Enabling Cloud Architecture for Globally Distributed Applications

Domain Time II. Time Synchronization Software Suite Precise Time Synchronization for the Entire Enterprise

10 METRICS TO MONITOR IN THE LTE NETWORK. [ WhitePaper ]

Field Measurement Methodologies for Synchronization in Mobile Networks Neil Hobbs Director EMEA Technical Sales Support

Cisco and Visual Network Systems: Implement an End-to-End Application Performance Management Solution for Managed Services

Is backhaul the weak link in your LTE network? Network assurance strategies for LTE backhaul infrastructure

JDSU NetComplete Ethernet Performance Management. Ethernet Performance and SLA Monitoring Application

PART II. OPS-based metro area networks

diversifeye Application Note

Application Note License-Exempt Gigabit Ethernet Microwave Radio Applications

Palladion Enterprise SOLUTION BRIEF. Overview

ETHERNET WAN ENCRYPTION SOLUTIONS COMPARED

Cisco Network Analysis Module Software 4.0

Network Performance Management Solutions Architecture

TITANXR Multi-Switch Management Software

Clearing the Way for VoIP

Integrated Analytics. A Key Element of Security-Driven Networking

Quality of Service Testing in the VoIP Environment

Internet Infrastructure Measurement: Challenges and Tools

How To Understand The Gsm And Mts Mobile Network Evolution

IxChariot Pro Active Network Assessment and Monitoring Platform

Achieving Service Quality and Availability Using Cisco Unified Communications Management Suite

Using IPM to Measure Network Performance

QoS Measurements Methods and Tools

12 Quality of Service (QoS)

UMTS/GPRS system overview from an IP addressing perspective. David Kessens Jonne Soininen

Enabling Visibility for Wireshark across Physical, Virtual and SDN. Patrick Leong, CTO Gigamon

Avaya Diagnostic Server

Gigabit Ethernet Design

Leveraging Microwave Packet Radio to Enhance and Extend IP/MPLS Backhaul Application Note

The Ecosystem of Computer Networks. Ripe 46 Amsterdam, The Netherlands

Observer Probe Family

Intrusion Detection Systems (IDS)

Whitepaper Unified Visibility Fabric A New Approach to Visibility

Network Optimization based on performance and capacity criteria

Innovation: Add Predictability to an Unpredictable World

8000 Intelligent Network Manager

WHITE PAPER. Packet Time Monitoring in Your Visibility Architecture

IBM QRadar Security Intelligence Platform appliances

8000 Intelligent Network Manager

IP/MPLS Networks for Public Safety

Customer White paper. SmartTester. Delivering SLA Activation and Performance Testing. November 2012 Author Luc-Yves Pagal-Vinette

Wireless Device Management: OSS for Leading-Edge Wireless

Quality of Service in Industrial Ethernet Networks

Infrastructure for active and passive measurements at 10Gbps and beyond

Affording the Upgrade to Higher Speed & Density

Deploying Silver Peak VXOA with EMC Isilon SyncIQ. February

PERFORMANCE ANALYSIS OF VOIP TRAFFIC OVER INTEGRATING WIRELESS LAN AND WAN USING DIFFERENT CODECS

Advancements in field measurement of Ethernet performance

Service Assurance based on Packet Capture

Requirements of Voice in an IP Internetwork

Cisco NetFlow Generation Appliance (NGA) 3140

Transcription:

1

Objective: Real-Time Network Optimization Enable customers to optimally tune their network performance with real time information and proactive recommendations. 2

ig Data Analytics Technology ig data analytics can be to provide a closed loop unified solution for customers, that will: ingest -- see every node, every packet digest -- analyze/report findings, and most importantly suggest -- recommend actions to improve performance 3

Real-Time Network Performance Monitoring Cell Site Router SPGW WAN Router Internet Access Metro Area Network (MAN) User Equipment (UE) Devices TS ode CSR (Cell Site Router) Router MSC (Mobile Switch Center) ackbone WAN Features: Optimization Center Console End-to-end monitoring of delay, jitter, throughput and loss embedded into the network elements and user equipment. There is no need for additional external probes. Metadata creation for up to every packet at every monitoring point, as desired (filtered), and then forwarded to the Analytics engine. Metadata aggregated, correlated and analyzed by Jolata appliances at the Master Head End or MSC. Wirespeed processing rates of up to 2x100GbE per analytics appliance; effective traffic analysis of 800Gbps. Link, Segment and Path statistics from User to. Upstream and downstream, one way or roundtrip. Heatmap and chart visualizations; Threshold crossing alerts. Visibility with zoom window capability to view delays of specific packets or bursts. Flexible queries to analyze statistics per node, hop, equipment type, geography, protocol, subscriber, time of day. Managed within higher level EMS/NMS, or operator s OSS Synchronized by IEEE1588 4

Mobile Service Provider Problem Statement 2.5G 3G Iub IuPs Gn Gi Self-built or leased Iub Node RNC SGSN GGSN backhaul d1 d2 d3 d4 d5 Internet 4G S1-U Self-built or leased backhaul S1-U SPGW Gi d1 d2 d3 Wireless Service Providers (and backhaul providers) need to monitor network performance continually in order to meet required SLAs and to understand Subscriber Quality of Experience (QoE). Network delay, jitter throughput and loss are good indicators of network performance. Network delay, jitter and loss occur due to: Queuing in network hops Varying performance of key elements due to software upgrades, etc. End-to-end solution embedded in the routers that enables continuous monitoring of delay, jitter, throughput and loss wherever metadata-enabled routers (or external probes) are present. Analytic-driven actions to improve network are prescribed or taken as per user-defined heuristics. 5

Scale Access Ring Ring Ring/Mesh ackbone 10 s per Access Ring; 10 Access Rings per Ring 8 Rings per Ring 4 ackbone Nodes (e.g., 4 OMC s) 3556 Observation Points 3200 s 270Mbps sustained, total (upstream + downstream) 5 observation points per packet 40% average sustained load, network-wide 1.73 Tbps! 432Gbps per backbone node (OMC) 6

Packet and Flow Monitoring Access Ring Ring Ring/Mesh ackbone For every Packet at every observation point, key-value metadata is created with a: fingerprint, e.g., a unique identifier time-stamped when the packet was there port-stamped where the packet was observed appended with a user selectable n-tuple, e.g., IP SA/DA, Protocol, Source/Dest Port Metadata is aggregated, compressed and sent to analytics server for processing: 1%-2% overhead for metadata Packet Analysis is performed: Fingerprint matching to develop end to end path, throughput, delay, jitter and loss statistics per packet Flow Statistics calculated and stored into the database Per node, traffic type, customer based on n-tuple filters 7

49 mbps 8 8

Confidential and Proprietary 9 9

meanlatency>35ms Confidential and Proprietary 10 10

Lisbon /9022 /8277 Lisbon /8489 /0011 38 ms Lisbon /1524 Lisbon /1243 Lisbon /8754 Lisbon /2380 Lisbon /2355 Lisbon /1443 Lisbon /3521 Lisbon /9987 Lisbon /3417 Lisbon /0098 Lisbon /5234 Lisbon /5322 Lisbon /5721 Lisbon /0943 Lisbon /5532 Lisbon /6788 Lisbon /8277 Lisbon /8277 34 ms 33 ms 33 ms 32 ms 30 ms 29 ms 24 ms Lisbon /8277 Lisbon /8277 Confidential and Proprietary 11 11

Timestamp Accuracy 1588v2 test architecture PTP Unaware PTP Unaware Grandmaster C OC Network Segment Network Segment 1588v2 Messages Tapped, Timestamped, and Processed PPS/TOD (1588v2 based) Timestamp accuracy depends upon the 1588v2 distribution network and clock recovery algorithm and especially so when the underlying network is PTP unaware (still, most of the cases today): Determine timestamp accuracy using 1588v2 Packets as the probe packets Sync Messages from the GM are referenced directly to GPS with Timestamp accuracy to +/-50ns or better HW-Timestamp Delay Responses have similar accuracy and stability though they are timed upon receipt Delay request packets can also be used when T3 is inserted and where the C and/or OC clock recovery algorithm is stable & accurate Desired result: Stable floors for each packet type regardless of loading on left or right side network segments 12

Timestamp Accuracy 1588v2 Results - I ITU G.8261 Traffic Model 2; Modified Test Case 13 (10 minute total duration) Synchronization with open source PTPD software setting linux OS time: Timestamp accuracy: 60us wander, jitter is relatively small => Unacceptable for monitoring 13

Timestamp Accuracy 1588v2 Results - II ITU G.8261 Traffic Model 2; Modified Test Case 13 (20 minute total duration) Synchronization with dedicated HW PCIe Card w/tcxo: Timestamp accuracy: 28us wander, jitter is relatively small => Unacceptable for monitoring 14

Timestamp Accuracy 1588v2 Results - III ITU G.8261 Traffic Model 2; Modified Test Case 13 (20 minute total duration) Synchronization with dedicated HW w/tcxo: Timestamp accuracy: 25us wander, +/- 30us jitter is very large => Unacceptable for monitoring 15

Timestamp Accuracy 1588v2 Results - IV ITU G.8261 Traffic Model 2; Modified Test Case 13 (20 minute total duration) Synchronization with dedicated Router C w/ocxo: Timestamp accuracy: <100ns wander, <500ns jitter => Acceptable for monitoring 16

Timestamp Accuracy 1588v2 Results - V ITU G.8261 Traffic Model 2; Modified Test Case 13 (20 minute total duration) Synchronization with dedicated Router C w/ocxo: Timestamp accuracy: <100ns wander, <500ns jitter => Acceptable for monitoring 17

Wrap-Up Wireless Service Providers, ackhaul Operators and Data Centers are adopting analytics to optimize their network performance and quality of service Network scales are thousands of nodes and Terabits per second of data Sophisticated big data techniques scale to provide real-time network monitoring and analytics of key performance indicators end-to-end and hop-by-hop including: Throughput Delay Jitter Loss Timestamp accuracy depends upon the 1588v2 distribution network and clock recovery algorithm and especially so when the underlying network is PTP unaware: PTP packets can be used as the probe packets (GPS-based GM packets preferred) oundary Clocks improve overall performance Your results may vary: 1588v2 clock recovery stability is essential to accurate analytics 18

19