1. Division of IT Convergence Engineering Introduction and Motivation  Design of a QoE model based on the DEN-ng model  Define appropriate QoE metrics and their relationship with performance indicators and consumers  Present a control loop to optimize the quality of services based on the measured QoE among networks, end-users and service providers QoE Metrics Model  Define a new Customer Role Quality Indicator (CRQI)  Roles abstract people and organizations  ConsumerRole abstracts different responsibilities and functionality that a customer has  CRQI is a measurement of a specific aspect of the quality of a product, service, or resource as perceived by a particular customer  CRQI captures the semantics between a given ConsumerRole and a particular context as represented by QoE data Future Research  Create an Autonomic SLA management system  Define semantics to create a knowledge continuum to relate diverse business, management, and operational data to each other  Validate using a simulator and/or a network testbed  Evolution of the Network Based Services  Advanced multimedia services (e.g., IPTV, VoD, VoIP)  Different services have conflicting resource demands on a shared infrastructure  Quality of Experience (QoE)  A subjective measure of a customer’s experiences for services  Relate objective network data to customer experience to improve QoE  Use a control loop to manage services based on the measured QoE Research Goal QoE Control Loop Model Performance Indicators DEN-ng Model  QoE Control Loop  Many types of changes to the service can be managed by a single control loop  Subjective, objective, and contractual changes are captured as QoE data  Our model manages QoE data changes using QoS mechanisms  Our control loop self-regulates  QoEServiceFeedback  Triggers the change of network configuration according to management policy when any SLA data changes  Key Performance Indicator (KPI):  Quantifiable measurements that reflect the critical successful or unsuccessful factors of a particular resource or service  Key Quality Indicator (KQI):  An indicator for a specific performance aspect of the product or product components  Customer Quality Indicator (CQI):  Quality indicators that are experienced and perceived by customers Network Service for QoE Ontology and SWRL rules  We designed an ontology for detecting SLA changes by relating MIB data to SLA data  Service Level Agreement (SLA): high-level business descriptions  Management Information Base (MIB): low-level network data  Semantic Web Rule Language (SWRL) for  Computing SLA changes from lower level performance indicators (Network Performance, KPI, and KQI)  Mapping between different performance indicators  Calculating performance indicators  Mapping between network data, KPIs, KQIs, and SLAs  SLAViolationCheckEqTrue  SLA(?sla) ∧ hasPerformanceInfo(?sla, ?indicator) ∧ hasThreshold(?sla, ?threshold) ∧ hasOperator(?sla, ?operator) ∧ hasValue(?indicator, ?value) ∧ swrlb:equal(?operator, "eq") ∧ swrlb:notEqual(?value, ?threshold) → isViolated(?sla, "true") PerformanceInfo KQIKPINP ProductKQIServiceKQI ResourceKQIProductKPIServiceKPI ResourceKPISTBNP Infrastructure NP Aggregation SwitchNP influence SLA PerformanceInfo Threshold Operator True or False hasPerformanceInfo hasOperatorisViolated hasThreshold Service Provider Calculat ed QoE SLA QoE Control Consume r Role QoS Mechanis m Networ k A Quality of Experience Model and an Ontology for High Quality Multimedia Services Arum Kwon 1, Joon-Myung Kang 1, Sin-seok Seo 1, Sung-Su Kim 1, Jae Yoon Chung 1, John Strassner 2, and James Won-Ki Hong 2 1 Dept. of Computer Science and Engineering, 2 Division of IT Convergence Engineering, Pohang University of Science and Technology (POSTECH), Korea