Arango-Mobile QoS Management using CEP

Mobile QoS Management using Complex Event Processing Distributed Event-Based Systems (DEBS) 2013 Conference Mauricio Arango July 1, 2013

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 QoS Management System

Network

Data Data Centers Centers

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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 QoS Management System

Networ k

QoS Management System

Data Data Centers Centers

Networ k

Data Data Centers Centers

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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

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WiFi Offload for QoS Management •  Switch devices from mobile networks to carrier-based WiFi networks •  Mitigate or avoid congestion QoS Management with WiFi Offload 4G/LTE

AP

AP

WiFi

GW

GW

Subscriber

Core Network AP

3G Access

Event & control flows

Network Provisioning & Management

Information

GW

Internet

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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)

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Implementation Architecture

Oracle WLS

Oracle MapViewer

Oracle OEP

MASON multiagent simulation toolkit

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CEP Application – QoS Management Event Processing Network

Input streams merge and enrichment

QoS problem detection – Qos solution: WiFi offload

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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

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Device speed calculation from location stream •  Partition stream, one stream per device

•  Determine device’s mobility state: static or moving

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QoS Problem Detection & QoS Solution: WiFi Offload

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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

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Map-based Web Application

High-latency and congestion rendering

WiFi offload rendering

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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.

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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

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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

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