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Manageability of Future Internet. Mi-Jung Choi Dept. of Computer Science Kangwon National University mjchoi@kangwon.ac.kr http://cs.kangwon.ac.kr/~mjchoi. Contents. Problems of Current Internet Future Internet Motivation of Future Internet Requirements of Future Internet
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Manageability of Future Internet Mi-Jung Choi Dept. of Computer Science Kangwon National University mjchoi@kangwon.ac.kr http://cs.kangwon.ac.kr/~mjchoi
Contents • Problems of Current Internet • Future Internet • Motivation of Future Internet • Requirements of Future Internet • Research roadmap of Future Internet • Management of the Future Internet • Management issues of Future Internet • Research efforts for management of Future Internet • Summary
Technical Problems of the Internet (1/2) • Fundamental design principles of the current Internet • Collaboration • Trust • Use of intelligence at the edges to enable the core to be simple • Hard to map the current demands of users to services and resources that the network can offer (different domains) • Lack of security • Lack of mobility support • Interaction problems between the different layers
Technical Problems of the Internet (2/2) • No guarantee on QoS – best effort service • Very difficult to manage due to explosive growth in # of devices & network traffic amount • There is no single standard for representing information that can be shared among heterogeneous applications and information sources
Business Problems of the Internet • Each vendor uses different programming languages and models • Difficult to integrate data from devices from multiple vendors • It is becoming increasingly hard to make a profit • Unless the future network architecture takes competition and economic incentive, it is doomed to failure • New architecture has to be based on a sound economic model, not just a good technical one
Motivation for Future Internet Need to resolve the challenges facing today’s Internet by rethinking the fundamental assumptions and design decisions underlying its current architecture Three approaches Incremental (non-evolutionary): a system is move from one state to another with incremental patches; new ideas that are not compatible with the original design are not allowed Incremental (evolutionary): same as above, except new ideas that are not compatible with the original design are allowed Clean-slate (revolutionary): redesigned from scratch to offer improved abstractions and/or performance, while providing similar functionality based on new core principles
What is Future Internet? Next Generation Network (NGN)? a packet-based network to support the transfer of mixed traffic types such as voice, video, and data and to integrate services offered by traditional networks and new innovative IP into a single platform Internet designed in accordance with either of the two incremental approaches Future Internet? Clean Slate design of the Internet’s architecture to satisfy the growing demands Management issues of Future Internet also need to be considered from the stage of design Research Goal for Future Internet Performing research for Future Internet and designing new network architectures Building an experimental facility
Research Roadmaps for Future Internet US (FutureInternet) NSF NeTS-FIND Architecture Project 2006 NSF GENI GENI 2002 Network testbed PlanetLab 2008-2009 FP7 FP6 EU (Future Network/ Future Internet) NGI FIRE Euro-NGI(€5M) Euro-FGI 2002 2006 2007 2013 4WARD 2008 JP (NeW Generation Network) 2007 NWGN Promoting Forum Network testbed 2004 JGN II JGN2Plus JGN X AKARI project 2006 Architecture Project FIF 2006 KR (Future Internet) KOREN2 KOREN 2002 CASFI 2008 Now 2000 2005 2010 2015
Requirements for Future Internet • Integrity, authenticity, confidentiality of communication with any given peer • Seamless handoff/roaming • Identity/addressing • Virtualization of Resources Scalability Interoperability Reliability Availability • Guarantee of service quality • Key part of SLA • FCAPS • Autonomic Management
Manageability Requirements for Future Internet • Integrity, authenticity, confidentiality of communication with any given peer • Seamless handoff/roaming • Identity/addressing • Virtualization of Resources Scalability Interoperability Reliability Availability • Intelligent and programmablenetwork nodes • FCAPS • Autonomic Management
THINK about Manageability of Future Internet We need not only evolutionaryapproach But also revolutionary approach ? FCAPS
Management Issues for FI (1/3) • Management Interface • Management Information Modeling & Operations • Complexity of management should be confined • The management plane should be independent of the data plane • Management Architecture • Centralized vs. Decentralized Management • Peer-to-Peer • Hybrid • Service Management • Customer-centric service • Service portability • SLA/QoS
Management Issues for FI (2/3) • Traffic Monitoring/Measurement and Analysis • Monitoring for large-scale and high-speed networks • Network/application-level monitoring • Global traffic data access/sharing • Fast and real time monitoring • Statistical sampling method • Storing method for large scale traffic data • Measurement and analysis of social networking
Management Issues for FI (3/3) • Autonomic Management/Self-Management • Knowledge Engineering, including Information Modeling and Ontology Design • Policy Analysis and Modeling • Semantic Analysis and Reasoning Technologies • Reduction of manual errors and faster configuration • Management with fewer human resources • Self-Managed Networks • Orchestration Techniques • Context and Context-awareness • Adaptive management
Research Efforts for Management of FI • US NSF • Future Internet Design (FIND) • Complexity Oblivious Network Management architecture (CONMan) • Global Environment for Networking Innovations (GENI) • Operations, Management, Integration and Security (OMIS) WG • EU • FP 7 • 4WARD In-network (INM) project • Autonomic Internet (AutoI) project • Autonomic Network Architecture (ANA) project • Korea • Capture, Analyze, Share for Future Internet (CASFI)
CONMan Architecture (1/2) • Management interface should contain as little protocol-specific information as possible • Complexities of protocols should be masked from management • Goal • A generic abstraction of network entities (protocols & devices) for management purpose • A set of atomic management operations to work upon the abstraction • A way to translate high-level management objectives to low-level operations
CONMan: Shift Complexities (2/2) • Management interface should contain as little protocol-specific information as possible • Complexities of protocols should be masked from management • Solution • The management interface of data-plane protocols should contain as little protocol-specific information as possible • Allows data-plane protocols to have a generic yet simple interface
GENI OMIS WG (1/2) • GENI OMIS WG (Operations, Management, Integration and Security) • Operations, management, integration and security processes in GENI • Experiment support, monitoring, and data storage • Security monitoring and incident response • Federation management and monitoring • Hardware release, maintenance and integration • Software release, maintenance and integration • Operations metric collection and analysis • http://www.geni.net/wg/omis-wg.html
GENI OMIS WG (2/2) • Federation of substrates questions • Dependencies across substrates • Is the control plane centralized? • How to separate the experiment from the operation • OMIS data is separate from the GENI data • Substrate needs from OMIS • Fault tolerance • Security requirements
4WARD (1/3) • 4WARD • Divided into 6 work package (WP) • In Network Management (INM) • Autonomic self-management • Abstractions and a framework for a self-organizing management plane • Scheme, strategies, and protocols for collaborative monitoring, self-optimizing, and self-healing
4WARD (2/3) Traditional network management In-network Management • A new management paradigm • Management functions come as embedded capabilities of the devices • Pushing management intelligence into the network
4WARD (3/3) • Three dimensional functional space • Degree of embedding • Degree of autonomicity • Degree of abstraction • moving from a managed object paradigm to one of management by objective
AutoI (1/3) • Main objective of AutoI • Provision of a self-managing virtual resource overlay • Autonomic Internet vision at a high level • AutoI is an optimized network and service layers solution which guarantees built‐in orchestrated security, reliability, robustness, mobility, context, access, service support and self management of the communication resources and services • A transition from a service agnostic Internet to service-aware network by applying Autonomic principles to the management of network resources
AutoI (2/3) Autonomic Internet approach
AutoI (3/3) • Inside (In) Network functions • Management functionality should be embedded in the network • Aware and Self-aware functions • Monitor network and operational context to assess if the network serve its service purposes • Adaptive and self-adaptive functions • Triggers changes in network operations function of the changes in network context • Autonomic self-functions • Self-control (i.e. self-FCAPS ) • Extensibility functions • Add new functions without disturbing the rest of the system • Simple functions • Minimize life-cycle network operations
ANA (1/4) • Goal • Build a network architecture for future internetworking (including autonomic features) • Key ideas with regard to experimentation • Two development cycles • Early prototype + redesign after first implementation • The need for experimentation • An architecture can not be built • An architecture has to grow
ANA (2/4) WP0: Project Management WP1: Architecture WP4: Integration, applications, Testbed WP2: Autonomic Communication System WP3: Self-management, Resilience, security
ANA (2/4) WP0: Project Management WP1: Architecture WP4: Integration, applications, Testbed WP2: Autonomic Communication System WP3: Self-management, Resilience, security WP3: Self-management, Resilience, security
ANA (3/4) • ANA monitoring architecture • Self optimization mechanisms • Implementation of selected components of the failure detection and fault management • Measurement-based resilience mechanisms
ANA (4/4) • Basic idea • Decompose monitoring functionality into multiple individual functional blocks • Building a foundation on which autonomic applications can be build Monitoring Architecture
CASFI CASFI(Collect, Analyze, and Share for Future Internet) • Goals • Manageability of Future Internet • Data Sharing Platform for Performance Measurement • High-Precision Measurement and Analysis • Human Behavior Analysis • Groups • KAIST, POSTECH, Chungnam National University, KyungHee University • Period • 2008.03.01 ~ 2013.02.28 • http://casfi.kaist.ac.kr (34)
Summary • Future Internet • Future Internet needs to overcome the problems of the current Internet (security, mobility, scalability, etc.) • We need to include the manageability the initial design of the Future Internet • Research efforts for management of FI • ANA, CONMan, INM: Goal is clear. Prototype and implementation work is going on • GENI OMIS, AutoI: Still high level..
Manageability is mandatory for design of Future Internet