Division of IT Convergence Engineering Towards Unified Management A Common Approach for Telecommunication and Enterprise Usage Sung-Su Kim, Jae Yoon Chung, Byungchul Park, John Strassner, and James W. Hong Introduction and Motivation  Knowledge Representation  Equating different syntaxes and semantics describing management data  Attaching context to management data through inference  Translating semantics between different constituencies  QoS and QoE Management for End User  Accurate and fast traffic classification method is needed to provide personalized services  Modeling of QoS and QoE for dynamic code generation and reconfiguration  Monitoring tool for Various Purpose  Monitoring of Data Center Network (DCN) Traffic classification for FI applications  Traffic Classification by Similarity Analysis  Compared different metrics  Jaccard Similarity:  Cosine Similarity:  The Gaussian Radial Basis Function:  Each provides improved accuracy with low complexity Discussion and Future Research  A New Architecture is Need to Manage FI and DCNs  We will extend FOCALE, which is an autonomic distributed management architecture  Uses models and ontologies to learn and reason about facts discovered to make context-aware decisions  Applies Beyond the Network to, for Example, DCN  Both Require Better Understanding of Data and Patterns of Data  Research on traffic classification to manage QoS and QoE of end-user  Research on future management node architecture, protocols, and semantic interoperability  Next generation networks and the future Internet are gaining increasing importance  New era of cloud computing expands the enterprise  Current Network Management  Different views between enterprise and telecommunication provider  We Need Unified Management for the Future Internet and for Data Center Networks (DCNs)  Management of Emerging Networks and Services Management Challenges New Network Management Architecture QoE Modeling Based on DEN-ng  Definition of Quality of Experience (QoE): The quality perceived by end user  QoETrafficAddingService :  Introduction of additional traffic to an existing session (e.g., a FEC encoder )  QoETrafficModifyingService:  Modification of the actual payload of packets (e.g., a video transcoder)  QoETrafficStoreAndForwardService:  Alteration of future sessions based on information about the current session (e.g., a caching mechanism) DCN Measurement  Understanding Data Center’s Behavior is Indispensable for Managing Large Clusters  Conclusions and Applicability for Management  Autonomic management of networks and DCNs Autonomic Management Element of The FI  Functions of Autonomic Management Element Server Distributed File System Distributed Execution Engine Scripting Language High-level Scripting Language: writing distributed jobs Distributed execution, fault- tolerance, job scheduling Naming, storage Physical resources Core Framework Services AE Component Services Knowledge Management and Query Services Business-Enabled Services External Portal Services Security Services Generic Application Services Composition Services Management Services Orchestration Services Routing Knowledge = Metadata + node id Cached Data List of routing knowledge To organize the routing table and cache store