Download - Autonomic Computing
DP&NM Lab.CSE, POSTECH- 1 -Autonomic Computing
Nov. 22. 2006
Eric Joonmyung Kang
Distributed Processing & Network Management Lab.Dept. of Computer Science and Engineering
POSTECH, [email protected]
CS600 Distributed Systems, Assignment #5
Autonomic ComputingAutonomic Computing
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Presentation Outline Introduction
Autonomic Computing– Architecture concepts– Architecture details
Application
Research Issues and Challenges
Conclusion
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Growing Complexity… Future network environment and system
Core Network
Satellite
BroadcastNetworks
(DAB, DVB-T)
The Internet
ISP
CDMA, GSM, GPRS
IP-based micro-mobility
Wireless LANs
Signalling Gateway
WAP Accounting
Context-aware informationCentre
Billing VHE SIP Proxy Server
WiBro, HSDPA
4G
Bluetooth Zigbee
access operator
ISP
ASP
corporation
DMB
MP3
Camera
M-banking
CamNavigation
AutonomicAutonomicComputingComputingAutonomicAutonomicComputingComputing
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Growing Complexity… Very large scales
– million of entities
Ad hoc (amorphous) structures/behaviors– p2p/hierarchical architecture
Dynamic– entities join, leave, move, change behavior
Heterogeneous– capability, connectivity, reliability, guarantees, QoS
Unreliable– components, communication
Lack of common/complete knowledge– number, type, location, availability, connectivity, protocols, semant
ics, etc.
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Convergence of IT and BT Our system programming paradigms, methods and
management tools seem to be inadequate for handling the scale, complexity, dynamism and heterogeneity of emerging future network and systems
Biological systems have evolved strategies to cope with dynamic, complex, highly uncertain constraints
Recently, some research area of IT is applying biological system concept to solve its unsolved problems
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Autonomic Computing Autonomic
– Pertaining to an on demand operating environment that responds automatically to problems, security threats, and system failures
– Cf) self-adaptive, self-governing, self-managing, … The term “autonomic” is derived from human biology – aut
onomic nervous system– ANS monitors heartbeat, body temperature, …
• Without any conscious effort on one’s part! Nature has evolved to cope with scale, complexity, hetero
geneity, dynamism and unpredictability, lack of guarantees– self configuring, self optimizing, self healing, self protecting, highly
decentralized, heterogeneous architectures that work !!!
The goal of autonomic computing is to use appropriate solutions based on current state/context/content based on specified policies
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Autonomic Computing Attributes Self-managing systems that deliver
Increased Responsiveness
Adapt to dynamically changing environments
Business Resiliency
Discover, diagnose,and act to prevent
disruptions
OperationalEfficiency
Tune resources and balance workloads to maximize use of IT resources
Secure Information
and Resources
Anticipate, detect, identify, and
protect against attacks
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Architecture concepts Autonomic computing system
– A computing system that senses its operating environment– Models its behavior in that environment– And takes action to change the environment or its behavior
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Architecture details Autonomic Manager
– Implementation that automates some management function and externalizes this function according to the behavior defined by management interfaces
Sensors
ResourceManager
Effectors
Managed Element
ManageabilityInterface
Sensors Effectors
Knowledge
Plan
ExecuteMonitor
Analyze
Data Action
Autonomic Manager
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Architecture details Multiple autonomic managers
for multiple resources– Autonomic managers are arranged
in hierarchical fashion – Lower-level managers deal with
resources at smaller granularity and/or smaller locality
Top-level autonomic manager:– Business decision-making– Policy and service levels
HierarchicalAutonomic Systems
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Architecture details Composition of Autonomic Systems
ReputationAuthority
Network
Registry
EventCorrelator
Database
MonitorServer
WorkloadManager
Server
Server
StorageStorage
Storage
Negotiator
Broker
Provisioner
Sentinel
Monitor
Aggregator
Registry
Monitor
BrokerSentinel
Arbiter PlannerWorkloadManager
Database
Network
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Architecture details Autonomic manager is a component that implements the
control loop– Monitor Function
• the function that collects, aggregates, filters and reports details (e.g. metrics, topologies)
– Analyze Function• the function that models complex situations to understand
current system state.– Plan Function
• the function that structures the actions needed to achieve goals and objectives.
– Execute Function• the function that changes the behavior of the managed
resource using effectors.
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IBM work Architectural blueprint
– Published at http://www.ibm.com/autonomic/pdfs/AC Blueprint White Paper V7.pdf
Autonomic Computing Manageable Resource Interface Specification and Touchpoint Implementation Guide– Published at
http://dl.alphaworks.ibm.com/techologies/aide/ManageabilityEndPpointSpecification0.51a_draft.pdf
550 patent applications 20+ specification to standards bodies 450+ self-managing autonomic features in 70+ IBM products Services to accelerate customer implementation of Autonomic Comp
uting self-managing technologies such as problem determination 60+ business partners developing products according to Autonomic C
omputing standards and technologies More than 100 customer references
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Application ANA Project ( 1/1/2006 ~ 12/31/2009 )
– http://www.ana-project.org/– Autonomic Network Architecture – A European Union funded project in situated and autonomic communications (IST-FET)
– Exploring novel ways of organizing and using networks beyond legacy internet technology– Ultimate goal is to design and develop a novel autonomic network architecture that enables
flexible, dynamic, and fully autonomous formation of network nodes as well as whole networks.
– Scientific objective• Architectural design that enables flexible, dynamic and fully autonomic formation of large-
scale networks in which the functionalities of each constituent network node are also composed in an autonomic fashion
– Technical Objective• Building experimental autonomic network architecture, and to demonstrate the feasibility
of autonomic networking within the coming 4 years
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Application Autonomic Web Services
– http://www.appliedautonomics.com– Identify and solve client problems quickly and accurately– Next Level of IBM Tivoli Storage Manager Solutions– Autonomic Services Framework: business data, work flows,
syndication services, and security• Connect: collect business data from anywhere• Understand: use work flows to simplify and understand
business data• Communicate: publish the results for use
– Real examples• How we save client’s time• How we save client’s money• How we provide value
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Application Enigmatec website
– http://www.enigmatec.net/– Policy-Based Automation for the On Demand Enterprise– EMS design Studio
• Intuitive drag-and-drop GUI• Adaptable and re-usable automation designs
– Automation Pack• Adapters, policies, and customized user interface co
mponents for common domain-specific application stacks and automation challenges
– EMS Operations Portal• Intuitive, graphical, web-based monitoring and control
interface for administrators and management• Real-time, in-flight view of all automated workflows
– EMS Platform• Powerful service-oriented design• Peer-to-peer run-time execution• Vendor-neutral platform
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Application Handsfree Networks
– http://www.handsfreenetworks.com/– ASI (Automated Support Infrastructure)
• Support and management offering that combines support and management automation with complete device security management
• Hide product complexity from the end user• Make products highly reliable• Insulate the user from the system management, support and
maintenance processes– Practical autonomic computing
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Application
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Recent research result MACE 2006 (1st IEEE International Workshop on Modelling Autonomic Communication Environments)
– http://www.manweek2006.org/mace/mace.php – Challenges, Principles and Concepts
• Challenges for Autonomic Network Management• Emerging Principles of Autonomic Network Management• On Concepts for Autonomic Communication Elements• Autonomic Computing Design Methodology
– Knowledge Engineering• Ontology-based Engineering for Self-Managing Communications• An OWL-S based architecture for self-optimizing multimedia over IP services• Establishing workflow trust using provenance information
– Promise Theory, Context and Situation-awareness• Autonomic Pervasive Computing: A Smart Mall Scenario Using Promise Theory• Onto-Context Manager Elements Supporting Autonomic Systems: Basis & Approach• Situation-aware Composition of Low-level Traffic Handling Functions
– Autonomic Computing and Autonomic Networks• Autonomic Computing Approximated by Fixed-Point Promises• Towards Autonomic Access Networks for Service QoE Optimization• Towards Autonomic Control of Network Topologies• Reconfiguration Discovery and Selection in the Context of Autonomic Management of Co
gnitive Wirelss Infrastructure– Panel: Bio-inspired Network Management: a viable alternative or a pipe dream??
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Research Topic SASO 2007 (1st IEEE International Conference on Self-Adaptive and Self-Organi
zing Systems)– http://www.labunix.uqam.ca/~jpmf/saso2007/
Topics– Self-* properties
• Self-oganization, self-adaptiveness, self-management, self-monitoring, self-tuning, self-repair, self-configuration, etc
– Theories, frameworks and methods for self-* systems– Management and control of self-* systems– Robustness and dependability of self-* systems– Engineering and control of emergent properties in self-* systems– Biologically and socially inspired self-* systems
Research communities– Distributed artificial intelligence, networking, software engineering,
distributed systems, integrated management, robotics, knowledge-based systems, machine learning, control theory, mathematical optimization
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Research Issue & ChallengesUnprecedented Scale, Complexity, Dynamism, Heterogeneity,
Unreliability, Uncertainty
Defining autonomic elements– Programming paradigms and development models/frameworks
• Autonomic elements definition and construction
• Policies/constraints definition, representation, enforcement
Constructing autonomic systems/applications– Composition, coordination, interactions models and infrastructures
• Dynamic (policy/rule-based) configuration, execution and optimization
• Dynamic (opportunistic) interactions, coordination, negotiation
Execution and management– Runtime, middleware, infrastructure
• Discovery, interaction/coordination, communication, management, …
• Security, protection, fault tolerance, reliability, availability, …
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My work NGOMS (Next-Generation Operation & Management System)?
– http://ngoms.postech.ac.kr (not available)– Autonomic Network and System Management Solution for Ubiquitous
Network (planning project, DP&NM Lab?)– General Network and System Management Framework
• Supporting any type of Management Information Base• Supporting any type of Management Protocols• Supporting any type of Devices• Service-Oriented, Scenario-Oriented, Business-Oriented Architecture• Defining reusable features or components based on FODA method• General network architecture and management design scheme
– Self-managed and self-adaptive system• Context-aware, situation-aware• Based on Autonomic management architecture• Knowledge engineering ( co-work with experts )
– NGOMS Mobile ( 1st phase )• Autonomic Mobile Device Management• Autonomic Handover Management• Self-diagnostics for mobile device ( on-going )
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Conclusion Summary
– Autonomic Computing• Self-management system without human’s intervention• Solution for large-scale and complexity of the distributed syste
ms– Architecture
• Self-management: Self-configuration, Self-healing, Self-protection, Self-optimization
– Autonomic Manager• Managed resource• Manageability interfaces – sensor, effector• Monitor, analyze, plan, execute
– Applications– Research Issues & Challenges
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References[1] IBM Corporation: An architectural blueprint for autonomic computing.
White Paper, (2003)[2] J.O. Kephart and D.M. Chess, "The Vision of Autonomic Computing,"
Computer, vol. 36, no. 1, Jan. 2003, pp. 41-52. [3] R. Sterritt, M. Parashar, H. Tianfield and R. Unland, "A Concise Introd
uction to Autonomic Computing," Journal of Advanced Engineering Informatics, Engineering Applications of Artificial Intelligence, Special Issue on Autonomic Computing and Automation, Elsevier Publishers, Vol, 19, pp. 181 ~ 187, 2005.
[4] Wikipedia.org, http://en.wikipedia.org/wiki/Autonomic_computing/ [5] IBM Autonomic Computing Website, http://www.ibm.com/autonomic/ [6] IBM Corporation: Practical Autonomic Computing: Roadmap to Self
Managing Technology, January 2006[7] Applied Autonomics, http://www.appliedautonomics.com/ [8] IPsoft, http://www-ip-soft.net/[9] Enigmatec Corporation, http://www.enigmatec.net/[10] HandsFree Networks, http://handsfreenetworks.com/[11] Ana project, http://www.ana-project.org/[12] MACE 2006, http://www.manweek2006.org/mace/mace.php