ETRI FI Projects & HiMang

1. ETRI FI Projects & HiMang 2011. 8. 11. Taesang Choi ETRI

2. ETRI FI Projects Overview Unified Architecture & Coordination Experiment (HiMang) Experiment (MOFI) Experiment (CSON) 1 3 6 6 4 2 5 Virtual Network CH Federation OpenFlowSwitchnig Virtualized Programmable Platform AM FH 1 5 AM 3 Control Framework for Virtualized Testbed Physical Substrate 4 2 OpenFlow @FIRST WLAN Cellular Virtualized Network Device WLAN GENI/AKARI/Europe Innovative Architectures Unified Architectures Federation

3. Research Area: Network Architecture Mobile-Oriented Future Internet (MOFI) • To develop new naming, addressing & routing architecture for mobile oriented environment

4. Research Area: Service Architecture Context based Service Overlay Network (CSON) • To develop an adaptive service path configuration technology for Context based Service Overlay network (CSON) which provides functional environment for composite service of 3rd party service providers

5. Research Area: Management Architecture Highly Manageable Network and Service Architecture (HiMang) Business Managment Domain Manager • To develop a highly manageable network and service management architecture that enables current and future network operators and providers to build and manage economically viable and sustainable services. Buisiness Policy & Rules Billing AMF Specific Control Loop Service Management Service Policy & Rules Service Lifecycle Management Service Charging Domain Manager AMF Ochestration Plane Specific Control Loop Network Management Network Policy & Rules Network Provisioning, Fault Performance, Accounting, Routing, Traffic Engineering, QoS Network Virtualization Domain Manager AMF Specific Control Loop Element Management Distributed Knowledge Domain Manager Node Configuration Physical & Virtual Resources Routing Protocols,, Traffic Managment, Forwarding AMF Specific Control Loop EMS EMS EMS AMF AMF AMF Denormalize Denormalize Denormalize Denormalize Normalize Normalize Normalize Normalize SendCommands SendCommands SendCommands SendCommands Get Data Get Data Get Data Get Data NE NE NE AMF AMF AMF

6. Research Area: Virtualized Programmable Platform (FIRST) FIRST@ATCA • ATCA standard module based programmable virtualized network platform that provides convenient ways of building and controlling virtualized nodes with strong resource isolation. • Platform-independence, developer-friendliness, extensibility, and JVM structure • Multi-core Octeon NP based Data Plane Virtualization and Programmability Manager VM Sliver VM 2) Programmable Data Plane: PacketvisorWorks CPU* CPU* Memory Memory 3) FIRST Platform Storage Storage * Net IF Net IF Network Virtualization: PacketvisorVM PacketvisorVM

7. Research Area: Control Framework for Virtualized Test-bed FiRSTProNET • Virtualized Network Control Solution • Virtualization based Future Internet test-bed control solution • Structure for resource openness and sharing • FIRST@ATCA resource allocation, virtualized nodes/networks configuration • System Configurations and Features • Comprised of FH,CH,AM,CM,CM-Emulator • Resources : CPU, Memory, Virtual NIC, Bandwidthof ICT devices (e.g., router/switch, server) • RSpec extensibility, intuitive use based on FH • Enables many users to share FIRST test-bed simultaneously • Control mechanism and subsystem that provides safe and dynamic configuration of virtualized nodes and networks by managing ICT resources FIRST@ATCA Virtualized nodes Virtualized Network Monitoring ㄹ FiRSTProNET

8. Research Area: Standardization FI Standardization • To develop the FI related standards such as FI reference model, network virtualization, federation technologies, etc. • ITU-T (Q.21/13, Future networks) • Y.3001, Future Network : Objectives and Design Goals • Y.FNvirt, Framework of Network Virtualization for Future Networks • ISO/IEC JTC 1/SC 6/WG7 • PDTR 29181-1, Future Network, Part 1 – Overall aspects • GENI Control Framework WG • Specification - Federation scenarios and requirements • IETF/IRTF VNRG (Virtual Network Research Group) • draft-jeong-vnrg-virtual-networks-ps-00

9. HiMang Requirements • Increasing Managed Entities – Services and Devices • M2M, Internet of Things • Increasing Management Tasks • Green Networking, Energy Efficiency, Smart Computing & Networking • Dynamic / On-demand Management • Dynamic Process Management • On-demand service and resource configuration/provisioning related to on-demand subscribing or situation evolution • Managing New Types of Services and Resources • Virtual Resources (e.g., Cloud computing, Virtual networks, Virtual Storages, etc.) • Dynamically provisioned or shared virtual infrastructure based on different types of virtual machines (e.g., virtual routers, virtual service components, etc.) • Interconnection, Interoperability and Extensibility • Between network operators, service providers, and third parties • Higher level of integration • Orchestration of the closed management loops across federated domains • Autonomic, Context-aware, and Knowledge Plane Focus

10. HiMang Design Goals • To define a holistic autonomic management architecture that encompasses both the Evolutionary Approaches and the Revolutionary/Clean-Slate approaches • To accommodate revolutionary clean-slate thinking to overcome the legacy management limitations • To be applicable incrementally (evolutionarily) and “instantiated” for autonomic management of today’s protocols and architecture • Smooth Migration from the current Internet to Future Internet can be realized by applying Autonomicity principle • To define Standardizable Specifications of the architectural functional entities and interfaces that guarantee interoperability • To develop a highly manageable network and service management architecture that enables current and future network operators and providers to build and manage economically viable and sustainable services

11. Our Assumption on Future Internet Inference Plane Pault Management Plane Performance Accounting Configuration Security CE CE Control Plane B Control Plane A Control Plane CE CE CE CE Virtual Network A Virtual Network B Virtual Data Plane Network C + Control Plane C Data Plane Virtualization capable Network Legacy Network Virtualization capable Network

12. Main Principle: Cognitive Network Management Cognitive Network Management (learning and reasoning) Decision Making Monitoring Data Future Internet

13. Knowledge-Centric View • Data • Raw values • Meaningless unless they are undergrounded in context • Produces Information • Information • Data applied to the current situation • Uses short- and long- term memory • Produces Knowledge • Knowledge • Can be measured, calculated, and/or inferred • Can be bound to specific objects as well as to generic situations

14. Cognition Model for HiMang Compare Normalize Normal Finite State Machine Model and Reasoner Plan Act Observe High Priority Short-TermMemory Long-TermMemory Urgent Environment Learn Decide

15. Proposed High-level Architecture Distributed Inter-domain Knowledge Inference Plane Orchestration Manager Domain Knowledge Domain Manager Management Plane Specific Control Loop … Autonomic Aggregation Manager Virtual Resource Knowledge Physical & Logical (Virtual) DataPlane Autonomic Managed Element

16. HiMang Instantiation to Cloud DC Management Distributed Knowledge Orchestration Plane BorderRouter Network-level Domain Manager Service-level Failure Management Virtual Capacity Management CoreRouter Security Management Usage & Cost Management Objectives & Policies from Network-level to EMS-level Performance Management … Traffic Monitoring AMF End-of-Row Switch Denormalize Denormalize Normalize Normalize SendCommands SendCommands EMS-level Domain Manager Get Data Get Data Top of Rack Switch Physical Capacity Management Device Failure Management … ServerRack Switch/Server Configuration Link Management AMF Cloud Data Center

17. User’s Initial Request Changes to User’s specification Periodic Quality Assurance Check Retrieve Cloud Resource Information Retrieve Cloud Resource Information Provision Compute Optimal Resource Availability (Theoretical) Look for Faults (SLA Violation) Achievable? N Fault Detected? N Y Y Configure Resource Fault Recovery Validation Failed Validation Success Success Inform Admin Inform Admin Inform User Inform User End End of Provisioning

18. Proposed Implementation Architecture CSI (Common Service Interfaces) Configuration Package Measurement Package GUI RMF Fault Package Misc. Package TMF PF Traffic Adaptation Interface FMF Measured Traffic Data Provisioning Interface Fault Event Interface Autonomic Aggregation Manager TMF Agent FMF Agent PF Agent Fault Event GUI – Graphical User Interface TMF – Traffic Management Function PF – Provisioning Function FMF – Fault Management Function RMF – Resource Management Function Domain to Aggregation Adapting Interface PF/RMF/TMF/FMF Resource Status Node Type 1 Node Type 2 Node Type n

19. Thank You Q&A choits@etri.re.kr