Joint Wokshop with E2NA © ETSI All rights reserved Future topics of interest: some appetizers… 13 September 2012, ETSI Premises, Sophia Antipolis

Appetizers on Federation/Convergence Service and Network Governance Coordination schemes Trust in autonomics Information model evolution Emerging technologies

Federation/Convergence Feel (operate) like one network What, How and How much to unify? Generic framework and reference architectural principles (for management and control) Enablers and technology-specific adapters Seamless deployment Over different network technologies End-to-end, from access to core and service

Service and Network Governance

Profile-based and Policy- based management

Coordination schemes Challenges: avoid oscillations between two or more systems states coupling effects (leading to amplification chains) concurrency (leading to antagonistic action-reaction) in a distributed environment composed of self(-ish) managing elements (e.g. 3GPP SON functions) Two control-loops is easy 3+ becomes hard

Coordination: simple example

Coordination: conflict map

Trust in Autonomics Operators trust in autonomics as a key steps in the adoption/deployment Reliable functioning Trustworthy interworking Seamless deployment CL: Control Loop CL

Trust in Autonomics Reliable functioning Characterize-Test-Verify-Certify the performance and conformance of the function/system wrt. referential (e.g. canonical implementation, behavioral model, requirements, specifications, benchmark) Trustworthy interworking Coordination strategies, conflict maps: pre-defined/a priori ; dynamic/run- time, schemes: static/fixed/dynamic ; centralized/distributed ; concurrent Stability/convergence tests, Interoperability Tests Seamless deployment Unified operations feel, compliance to the framework specifications/operations, plug and play

Trust in Autonomics Five requirements and how to meet them: 1. Trust must be measurable (we shall suggest a composite metric for stability, potentially for other measures of autonomicity) 2. Trust must be SON-specific (we shall define a KPI-based envelope of dependable adaptations) 3. Trust must be model-driven (we shall demonstrate how to construct such models based on predicates) 4. Trust must be propagated end-to-end (we shall show that trust networks emerge from predicate-enabled behaviors) 5. Trust must certified (we shall outline the certification process).

Information model evolution An essential enabler for federation/convergence/unification Understand and determine the necessary changes to Information model(s) Distributed systems and reasoning Semantic Model-driven design and development

Emerging technologies Understanding the new/specific requirements of E.g. M2M, Cloud computing/networking… Wrt. M2M: numerous, distributed, versatile… Unique opportunity in ETSI: M2M TC, One M2M partnership Applicability and necessary adaptations (incl. framework level)

BACK UP SLIDES © ETSI All rights reserved

Envisaged New Work Items: Come Join! Evolution of Management Systems and Architectures as necessitated by Autonomic Management & Control, Converged Management and Federation Evolution of Information Models, Data Models, Ontologies and Policy Frameworks as necessitated by Autonomic Management & Control, Converged Management and Federation Methods and Tools for Knowledge derivation and presentation to the Knowledge Plane Definition and Standardization of new types of Managed Objects (MOs) for various types of technologies Trust and Confidence building in Autonomic Networks Modeling Methods and Tools for Design, Simulation and Validation of Autonomic Components Testing, Labeling and Certification of Autonomic Systems: Test Campaigns for Autonomic Behaviours in diverse network architectures and environments 15

Looking at the implications of Autonomics and Self-Management Technology Introduce Intelligence (autonomic and cognitive processes) into the node/device architectures as well as within the overall network architecture, to enable Self-Management and Control of Resources. The architecture of a Network Element e.g. a Router, Switch, an element in the 3GPP/LTE/SAE environment, an End-System, etc, should be enhanced with special types of Functional Blocks and Interfaces for Autonomic Management and Control of resources. ETSI-AFI developing: A Standardizable evolvable holistic Architectural Reference Model for Autonomic Network Engineering, Cognition and Self- Management: called GANA (Generic Autonomic Network Architecture) can beinstantiated onto diverse Architectures to create Autonomicity-enabled Architectures e.g. Autonomicity-enabled BBF arch, Autonomicity-enabled 3GPP, …NGN, FN, etc…… Some of the Management Problems requiring Autonomic/Self-Management Solutions: Deployment and Provisioning; Faults/Failures, Congestions, Predictions and Forecasting, Performance 16

Network Governance, Profiles & Policies 17 ONIX Information Server

Architectural Enhancements and Autonomic Behaviour Specifications for ANY Architecture Instantiate Functional Blocks and Reference Points for Autonomicity/Self-Management from AFIs Reference Model onto ANY Architecture and its Management Architecture Functional Blocks of the Knowledge Plane (Net-Level-DEs, MBTS, ONIX) Network-Level-DEs perform the role of Policy-Decision Points (PDPs) and so PDPs can be evolved by the DEs Network-Level-DEs (in the Knowledge Plane) evolve EMSs or NMSs ONIX Information sharing/exchange servers facilitate advanced Auto-Discovery Establish the type of Autonomic Functions (Decision Elements and their associated Control-Loops and Managed Entities) that should be instantiated into what type of Network Elements How are the Network Elements, EMSs/NMSs enhanced by DEs and the Reference Points instantiated to all the Functional Blocks that are specific to Autonomics/Self- Management Use the Instantiated Functional Blocks and Reference Points for Autonomicity/Self- Management from the Reference Model, to specify Autonomic Behaviours within the Management and the E2E Transport Architecture Specify Behaviours of instantiated DEs and their Control-Loops 18

AFI comments on Policy Control Reference Model AFI enables Policy-Control through the Network Governance Interface, as well as facilitating other mechanisms for supporting the Loading of Control-Strategies (executable run-time behavioral models) that can be pushed into the network i.e. into the autonomic manager elements/functions (Decision Elements) by the operator and can be viewed as customized optimization behaviors/algorithms. Policies are encapsulated by so-called Network Profiles that also convey Goals/Objectives specified by the Operator as well as Configuration Data, and the Profiles are then pushed into the network as input. There are aspects that cannot be addressed by the operator through Policy-Control and manual human operations but rather require certain Autonomic Decision-making- Capabilities (some intelligence) within individual Network Elements and collaboratively across the Fundamental E2E transport architecture, coupled with some predictions and forecasting. Examples include Autonomic Fault Management and Resilience, Autonomic QoS Management, Autonomic Security Management, etc.] 19