In-Service Performance In Mobile Media Gateway. Kalervo Kujala S Tietoverkkotekniikan diplomityöseminaari
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1 In-Service Performance In Mobile Media Gateway Kalervo Kujala S Tietoverkkotekniikan diplomityöseminaari
2 Basic Information n Thesis was written for Oy LM Ericsson AB n Professor Jorma Jormakka n Supervisor Juha Eloranta
3 Contents n Problem description n UMTS network n Media Gateway n In-Service Performance n ISP Statistics Tool n ISP Information n Requirements / Conclusions
4 Problem Description n Ericsson offers In-Service Performance (ISP) statistics from MSC (GSM-network) n Same needed from MGW (UMTS-network) n ISP definition not formally defined n How to get ISP statistics from the MGW node and present it in an informative way?
5 UMTS network n MGW - 3GPP R99 (+R4 functionality) n Both Release 99 and Release 4 presented
6 Release 99
7 Release 4
8 Mobile Media Gateway n is in the border between different networks n transports circuit- and packet-switched traffic n routing, switching and signaling n echo canceling and speech transcoding
9 In-Service Performance (ISP) n Normally presented as 9s n Includes both negative and positive side of performance 9s Availability Downtime/Year Examples 1 90 % 36d 12h Personal Clients 2 99 % 87h 36min Entry-level Businesses % 8h 46min Internet Service Providers, Mainstream Businesses % 52min 33s Data Centres % 5min 15s Carrier-grade Telcos, Medical, Banking % 31.5s Military Defence System, Carrier-grade Goal
10 Literature n ISO 9000, 9001 and 9004 n ITU-T E.800, E.860 and E880 n 3GPP Performance Management TS V3.6.0 n QuEST TL 9000
11 ISO n Customer Satisfaction n Performance measurements and monitoring of the product n Conformance to determined requirements n Gathered statistics stored to database n Valid data analysis methods and appropriate statistic techniques
12 ITU-T n E.800: Terms and definitions for the Qos, network performance and dependability n E.880: Service Level Agreement and measurement equations n E.880: Guidelines to field data collection (both failures and successes) and storing to database
13 E.860 measurement equations n Service Availability SA% = 100% UA% n Service Unavailability Outage _ Interval UA% = 100% Active _ Time n Weighted Service Unavailability ( Outage _ Interval SDF) UA% = 100% 0 < SDF 1 Active _ Time
14 3GPP Performance Management n Beginning and end times of the service unavailability n Transfer of the data to toher systems for later processing (FTP) n Results comparable to other vendors results n Measurement file format either ASN.1 with binary encoding (BER) or XML (Extensible Markup Language)
15 QuEST TL 9000 n Quality Excellence for Suppliers of Telecommunications n TL 9000 documents contain a consistent set of requirements and measurements that aim for faster, better and more costeffective telecommunications services.
16 Measurement Rules n Over 30 seconds duration of partial or total loss of primary functionality is counted to the System Outage. n Over 15 seconds duration for a scheduled event is counted. n Outages due to natural disasters are not counted. n System Down Time (SDT) == System Outage
17 Measurement Equations n Annualised Down Time DT = 12 n Annualised Outage Frequency m i= 1 N P i Pi describes the duration of ith outage M is the total amount of outages N describes the number of systems in the service at the end of the month Twelve is an annualisation factor. OF = 12 m N
18 ISP Statistics Tool n Ericsson s proprietary and internal tool for generating ISP statistics reports n produces graphical reports for various systems developed in Ericsson n For example, in the GSM system the MSC is such an element for which reports are generated
19 n intended for Ericsson s design offices, customer support, management and comparison to Service Level Agreements n valuable information from the operating nodes regarding fault tolerance and maturity of the system n enables proactive actions in preventing disturbances with similar fault situations occurring in different locations n management can set ISP goals and follow them up n comparison of the actual statistics to the SLA made with the customer
20 Example graphs Large Restarts / Exchange Downtime / Exchange 0,45 0,40 0,35 0,30 0,25 0,20 0,15 0,10 0,05 0,00 UPM PLM AUT 0,5 0,45 0,4 0,35 0,3 0,25 0,2 0,15 0,1 0,05 0 CEF PLM AUT UPM 6MRA 2002/ / / / / / / / / / / / / / / / / / / / / /03 Average no. of restarts Downtime in minutes 2003/ /05 It should be noted that the figures in the graphs are fictional.
21 Equations used in ISP tool n ISP tool s Unavailability SDT SDF UA = ( ) % N > 0 0 < SDF 1 Active _ Time N n Six months rolling average i 6 =1 SDT i N i RA = N i > 0 6 i
22 SDT labels n System Down Time (SDT) is presented in the ISP statistics tool with four different labels: Unplanned Manual (UPM), Automatic (AUT), Planned Manual (PLM) and Complete Exchange Failure (CEF). n UPM means a manually initiated disturbance that results in SDT. n AUT means automatically initiated disturbance. n PLM means manually initiated planned disturbance, i.e. software and hardware upgrade. n CEF means an automatic or manual disturbance event that results in prolonged SDT, which cannot be recovered without a manual intervention
23 Conclusions about ISP tool n No commercial softwares, which would fulfill the same functionality n Expensive to build a new tool from scratch n Adabtable for generating reports for MGW n Need for modification, though
24 ISP information n Two different logs in the MGW node: board log and availability log n Which one is better and adequately fulfills the ISP definitions mentioned earlier
25 Board Log n 9 entry places which are overwritten in a round-robin manner n Expresses only down events n Hard to modify n Need to collect logs periodically from each board
26 Availability Log n Format: XML version 1.0 (Extensible Markup Language) n contains 1455 record places and the size is approximately 1 MB n Works in a round-robin manner <?xml version="1.0"?> <!DOCTYPE greeting SYSTEM "hello.dtd"> <greeting>hello, world!</greeting>
27 n The log clients can run on either MPs or BPs. n The clients can store node availability, PIU (Plug-In Unit) and service availability events through Availability Log Interface (AVLI). n The node and PIU events are Hardware (HW) events and the service events are Software (SW) events
28 Conclusions about logs n Board Log is not adequate n Availability Log has many good qualities + Up and Down events (for node not traffic) + Enough space + in accordance with 3GPP - need to estimate when traffic is up - SDT labels can only be divided to AUT, MAN and CEF - log gathering manual process - Starting unnecessary -/+ need to secure the transfer of the logs to ericsson s facilities n Dedicated ISP log too expensive
29 Requirements / Conclusions n ISP tool should be used n Availability log is good enough for ISP n Rolling average need to be changed RA i= 1 = n i= 1 0 n New graphs proposed n SDT N i i n
30 3 2,5 2 1,5 1 0,5 0 New proposed graphs MP Restarts / node MAN AUT 2 1,8 1,6 1,4 1,2 1 0,8 0,6 0,4 0,2 0 Node Restarts / node MAN AUT Average no. of restarts 2002/ / / / / / / / / / / / / / /08 Average no. of restarts 2002/ / / / / / / / /05 1,4 1,2 1 0,8 0,6 0,4 0,2 0 VMGW MP Restarts / node 3,5 3 MAN AUT 2,5 2 1,5 1 0,5 0 System Down Time / node CEF MAN AUT 6MRA Average no. of restarts 2002/ / / / / / / / / / / / / / /08 Average SDT [min] 2002/ / / / / / / / /05
31 Future Research n n n n n In this thesis a framework for a solution was given. However, it was left to the future research a specific implementation of the solution. A following list is provided of the issues that can be more closely researched: The division of the restart label MAN to UPM and PLM by an analysis of the platform availability log The division of downtime into supplier-attributable and MNO-attributable downtime Formal definition of the concept In-Service Performance for telecommunications systems Comparison of the format of ISP statistics between different equipment vendors
32 Thank you for listening! Questions?
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