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Mobile QoS Management using Complex Event Processing
 

Mobile QoS Management using Complex Event Processing

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Presented on July 1, 2013, at the Distributed Event-Based Systems (DEBS) 2013 Conference:

Presented on July 1, 2013, at the Distributed Event-Based Systems (DEBS) 2013 Conference:
http://www.orgs.ttu.edu/debs2013/index.php

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    Mobile QoS Management using Complex Event Processing Mobile QoS Management using Complex Event Processing Presentation Transcript

    • <Insert Picture Here> Mobile QoS Management using Complex Event Processing Distributed Event-Based Systems (DEBS) 2013 Conference Mauricio Arango July 1, 2013
    • 2 Mobile Quality of Service Management •  This work focuses on quality of mobile broadband data services •  Key performance indicators (KPIs) include: –  Transaction latency –  Input and output throughput •  Involves monitoring and detection & resolution of performance issues Network Data Centers Data Centers QoS Management System
    • 3 Mobile Network Quality of Service User experience-driven trend •  Success of mobile applications largely depends on performance perceived by end-users •  Involves device-based monitoring vs. network-only monitoring •  Very large scale of monitoring and analysis – from from 10s of thousands network elements to 10s of millions devices •  Mobile networks are large-scale sensor networks – mobile devices are sensors Networ k Data Centers Data Centers QoS Management System Networ k Data Centers Data Centers QoS Management System
    • 4 Mobile Network Quality of Service Near real-time trend •  High end-user performance requires end-to-end QoS monitoring and management, involving: –  Device-based apps –  Network –  Data center/cloud-based apps •  Mobile networks are massive dynamic systems – constantly reconfiguring –  Requires rapid response to dynamic user context, application context, network conditions •  Proactive identification and correction of problems impacting user experience
    • 5 WiFi Offload for QoS Management •  Switch devices from mobile networks to carrier-based WiFi networks •  Mitigate or avoid congestion GW3G Access AP GW4G/LTE AP GWWiFi AP Core Network Internet QoS Management with WiFi Offload Network Provisioning & Management Subscriber Information Event & control flows
    • 6 CEP-based QoS Management with WiFi Offload Application description •  Input events: –  Device-based measurements •  Transaction latency •  Bandwidth capacity usage per transaction –  Data center transaction latency measurements •  Detect: –  Devices experiencing high-network latency (QoS problem) •  Infer: –  Congested base stations (QoS problem) –  Device speed (mobility state) •  Actions - for every device: –  If device network latency is high AND –  Device is in a congested base station AND –  Device is static THEN •  Offload to closest available WiFi hotspot (QoS solution)
    • 7 Implementation Architecture Oracle OEP MASON multi- agent simulation toolkit Oracle WLS Oracle MapViewer
    • 8 CEP Application – QoS Management Event Processing Network QoS problem detection – Qos solution: WiFi offload Input streams merge and enrichment
    • 9 Input stream correlation and enrichment Join device stream with mobile base station table Join device stream with data center stream Derive device speed from location stream
    • 10 Device speed calculation from location stream •  Partition stream, one stream per device •  Determine device’s mobility state: static or moving
    • 11 QoS Problem Detection & QoS Solution: WiFi Offload
    • 12 Geospatial processing and CEP •  Mobile QoS management is a location-based application •  Processing highly simplified with use of a geospatial library integrated with CEP platform •  Oracle Event Processing library –  Input events and internal events mapped to a geospatial grid –  Simplified definition of queries involving location, eg: •  Nearest neighbor •  Distance •  Inclusion within boundary
    • 13 Map-based Web Application High-latency and congestion rendering WiFi offload rendering
    • 14 Future work •  Predictions – mobile network infrastructure is becoming more more reconfigurable; predict congestion & react on time: –  Identify boundaries around high density areas – city, centers, airports, stadiums, etc and obtain early predictions of the load that is heading towards them. –  Identification of the speed, intensity, direction of load movement – location and time to congestion •  Map location of points where WiFi offload would be required –  For carriers planning to deploy WiFi offload, measure events where there were congestion/service issues that could be solved by offload.
    • 15 Future work – cont. •  Interactions with other infrastructure systems, eg. transportation, power utilities –  Receive key events from them –  Provide key events to them – congestion near airport, congestion in part of city •  Interactions with services systems and the environment: –  Weather –  Sports –  Media programming •  Privacy is a fundamental issue: –  All of above can be and should done with anonymized data
    • 16 Key Messages •  Event processing and CEP platforms simplify development of real-time monitoring and management systems for mobile communications, requiring: –  Monitoring and tracking location context of very large numbers of moving and reconfigurable components –  Very high scalability •  Geospatial processing is a key requirement for CEP platforms supporting location-based applications •  Mobile monitoring intersects with and can benefit other infrastructure systems