Design for a generic knowledge base for autonomic QoE optimization in multimedia access networks September 9, 2008 Bong-Kyun Lee Dept. of Information and Communication Engineering, Yeungnam University 214-1, Dae-Dong, Kyungsan-Si, Kyungbook, , KOREA (Tel : , Fax :

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) 2 ANT Lab. 논문세미나 Bong-Kyun Lee Outline  Introduction  Architecture  Requirements analysis  An OWL/SWRL based knowledge base  Detailed scenario description  Performance evaluation  Conclusion  References

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Introduction  Current services has large service demands in terms of bandwidth, tolerable packet loss, delay and jitter  The management of current networks to guarantee the QoE has been complicated by several factors  The degradation of service QoE due to network anomalies is highly dependent on the type of service and the current context of network  User home networks are complex networks of their own, consisting of different technologies and device  Autonomic management of the access network offers a solution that is able to perform a per-user and per-service management  In this paper  Define an autonomic architecture to maximize the QoE of all running services in the access network 3 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Architecture (1)  Functional view on the architecture 4 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Architecture (2) 5 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Architecture (3)  Monitor Plane  To provide the autonomic loop  Probe at every network element monitor parameters  The data generated by MPlane algorithm Summarized both temporarily and spatially  Knowledge Plane  Determines in an autonomic way the right QoE optimization  Defined three-step process Problem Detection Problem Tracking Problem Solving 6 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Architecture (4)  Action Plane  Responsible for the execution of the QoE optimization actions  Receives a complete configuration  Instruct specific nodes to alter their configuration 7 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Requirement Analysis  Provide a detailed overview of all requirements for the knowledge base  Network topology  Service & Policy  QoE restorative action 8 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) An OWL/SWRL based knowledge base  Propose an ontology based approach as knowledge base implementation  Proposed ontology uses OWL  SWRL as a basic rule language for deriving new information  Introduction to ontologies, OWL and SWRL  Ontology – a specification of a conceptualisation in the context of knowledge sharing 9 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) An OWL/SWRL based knowledge base : Ontology design (1)  Constructed an ontology using OWL that incorporates the requirements of the knowledge base  Network topology information 10 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) An OWL/SWRL based knowledge base : Ontology design (2)  Service and Policy information  Information about QoE optimizing actions  Describe the capabilities present in the Action Plane and the configuration of each node 11 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) An OWL/SWRL based knowledge base : Ontology design (3)  Monitor information  Provides the knowledge base with a huge amount of information that changes rapidly over time 12 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) An OWL/SWRL based knowledge base : Ontology design (4)  Monitor information  Illustrates how can be translated to SWRL  The terms swrlb : lessThan and swrlb : greateThan are built-in SWRL functions 13 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Detailed Scenario Description  Present how the ontology can be used to realize such autonomic behavior  3 plane on access node  KPlane component decides  Client receive a high bandwidth video  A number of FEC packets 14 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) Performance Evaluation  Evaluate the performance of our ontology approach  Ontology will be frequently update with monitor value  Both frameworks used a PostgreSQL database  Measured the time necessary to store and retrieve a monitor value 15 ANT Lab. 논문세미나 Bong-Kyun Lee

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) 16 ANT Lab. 논문세미나 Bong-Kyun Lee Conclusion  Ddesigned an ontology that models the knowledge present in an autonomic architecture that optimizes the QoE in multimedia access networks  The ontology forms a knowledge base for 3 higher layer  Monitor Plane  Knowledge Plane  Action Plane  Presented a scenario and illustrated how SWRL rules can be used to find the best QoE optimizing actions

Advanced Networking Tech. Lab. Yeungnam University (YU-ANTL) 17 ANT Lab. 논문세미나 Bong-Kyun Lee References [1] Latre, S., Simoens, P., De Vleeschauwer, B., “Design for a generic k nowledge base for autonomic QoE optimization in multimedia access networks”, Network Operations and Management Symposium Works hops 2008, page(s): , April, 2008.