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charge@once systems

charge@once systems. Overload protection. General statements. Each charge@once system operates with a mandatory overload protection mechanism which is defined by the software architecture

kimberley-hanson
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charge@once systems

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  1. charge@once systems Overload protection

  2. General statements • Each charge@once system operates with a mandatory overload protection mechanism which is defined by the software architecture • In addition a configurable traffic limitation mechanism is part of each system determined by the different access interface groups like SS7 or IP • For SS7 traffic a global traffic limit [GL_TrafficLimit] can be configured by Nokia Siemens Networks: • The customer traffic model determines the required hardware system configuration which is chosen • The parameter is defined by maximum traffic model which is part of the customer contract • The parameter value will be calculated by the max. SS7 BHCA including SMS as x * 1000 transaction per second

  3. Performance test results Test environment:Sun Fire SF890 with charge@once select 1.5 Load Mix: 90% SMS:10%MOC / GL_TrafficLimit was set to maximum released load for given configuration Load test workflow & Results 1. 100% load 20min --> OK (CFR < 0,01 %, Q95 < 250ms) 2. Jump to 200% load 40min --> system stabile, CFR ca. 55%, Q95 ca. 100ms. 3. Jump to 300% load 360min --> system stabile, CFR ca. 66%, Q95 ca. 3-5sec , CCC_CAP Restarts 4. Back to 100% load --> settling time max. 20 min --> OK 5. Jump to 300% load 40min --> system stabile, CFR ca. 66%, Q95 ca. 3-5sec , CCC_CAP Restarts 6. Back to 150% load 20min --> system stabile, CFR ca. 33%, Q95 ca. 300ms. 7. Jump to 300% load 40min --> system stabile, CFR ca. 66%, Q95 ca. 3-5sec , CCC_CAP Restarts 8. Back to 150% Last 20min --> system stabile, CFR ca. 33%, Q95 ca. 300ms. CFR …call failure rate Q95 …95 % of all calls below the mentioned call setup time

  4. conclusion A charge@once system with overload protection and set max SS7 global traffic limit works stabile also with up to 300% traffic load and still performs up to 33 % of the calls successfully. • In case of unexpected network related traffic overload (not calculated within a customer project) a Live System Analysis (LSA) can be offered to determine or refine the traffic limitation settings: • Professional service LSA: - using a monitor tool, which collects performance relevant data for a 24h time period- an offline evaluation determines the real traffic model, bottle necks or reserves- proposals for adaptation of system configurations can be calculated

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