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A Concise Introduction to Autonomic Computing

A Concise Introduction to Autonomic Computing. Roy Sterritt , University of Ulster at Jordanstown, Northern Ireland, UK Manish Parashar , Rutgers University, New Jersey, USA Huaglory Tianfield , Glasgow Caledonian University, Glasgow, UK

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A Concise Introduction to Autonomic Computing

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  1. A Concise Introduction to Autonomic Computing Roy Sterritt, University of Ulster at Jordanstown, Northern Ireland, UK Manish Parashar, Rutgers University, New Jersey, USA Huaglory Tianfield, Glasgow Caledonian University, Glasgow, UK Rainer Unland, University of Duisburg-Essen, Essen, Germany Presented by: Joseph Cilli Agnostic: Michael Robinson

  2. Topics • 1.0 Introduction • 2.0 Concepts • 3.0 Autonomic Computing • 4.0 Examples of Autonomic Systems & Applications

  3. 1.0 Introduction • Technological advances = High growth • High growth = More complex systems • System & application complexity growth • Brittle, unmanageable, insecure

  4. 1.0 Introduction • Strategies based on biological systems • Inspired by human nervous system Defined as: A self-managing, autonomous and ubiquitous computing environment that completely hides its complexity, thus providing the user with an interface that exactly meets her/his needs.

  5. 1.0 Introduction • Self-governing • Self-adaptation • Self-organization • Self-optimization • Self-configuration • Self-diagnosis of fault • Self-protection • Self-healing • Self-recovery • Autonomy • Make decisions on its own, using high-level guidance from humans • Constantly checking & optimizing its status & automatically adapt itself to new conditions • Self-Management achieved through:

  6. 2.0 Concepts • 2.1 Autonomic Nervous System • 2.2 Autonomic Computing Systems

  7. 2.1 Autonomic Nervous System • Controls the vegetative functions of the body (involuntary) • Circulation of blood • Intestinal activity & secretion • Production of chemical ‘messengers’

  8. 2.1 Autonomic Nervous System • Sympathetic • Fast heart rate • Fear • Parasympathetic • Slow heart rate • Calm Biological Self-Management Systems Self-Management

  9. 2.2 Autonomic Computing Systems • IBM introduced ACI • Growth in computer industry • Highly efficient network hardware • Powerful CPU’s • AC advancement • Integrating • Managing • Operating

  10. 2.2 Autonomic Computing Systems • GOALS • Manage complexity • Technology managing technology • Reduce cost of ownership • Automation reduces human involvement/error • Enhance other software qualities • Reflective, self aware components can continually seek to optimize themselves • Source: An architectural blueprint for autonomic computing. Third Edition, June 2005. • Available at URL: http://www-03.ibm.com/autonomic/pdfs/AC%20Blueprint%20White%20Paper%20V7.pdf

  11. 2.2 Autonomic Computing Systems • Autonomic elements of human body • Involuntary • Autonomic elements of computer systems • Decisions based on tasks

  12. 2.2 Autonomic Computing Systems • Self-Management • Self-configuring • Adapt automatically to the dynamically changing environment • Self-healing • Discover, diagnose and react to disruptions • Self-optimizing • Monitor and tune resources automatically • Self-protecting • Anticipate, detect, identify, and protect against attacks from anywhere • Attributes • Self-Awareness • Environment-Awareness • Self-Monitoring • Self-Adjusting Self-Anticipating Self-Adapting Self-Critical Self-Defining Self-Destructing Self-Diagnosis Self-Governing Self-Organized Self-Recovery Self-Reflecting Self-Simulation

  13. 2.2 Autonomic Computing Systems Server2 Server1 File System DB Service Storage Service

  14. 3.0 Autonomic Computing • 3.1 Innovative Self-Managing Components & Interaction • 3.2 AI & Autonomic Components • 3.3 Autonomic Architectures • 3.4 Autonomic Interaction & Policy Based Self-Management • 3.5 Computer-Human Interaction & Autonomic Systems • 3.6 Science of Autonomicity • 3.7 Systems & Software Engineering for Autonomic Systems

  15. 3.1 Innovative Self-Managing Components & Interaction • Autonomic Managers communication • Pulse Monitor

  16. 3.2 AI & Autonomic Components • Soft computing techniques • Neural networks • Fuzzy logic • Probabilistic reasoning incorporating Bayesian networks • Machine learning techniques • Cybernetics • Optimization techniques • Fault diagnosis techniques • Feedback control • Planning techniques

  17. 3.2 AI & Autonomic Components • Autonomic algorithm selection • Clockwork • Cost calculations • AI 3 level design • Reaction • Routine • Reflection Positive Negative Arousal

  18. 3.3 Autonomic Architectures • Individual Components • Complete autonomic systems • Open Grid • Web Services • Intelligent Robotics • Four Stages • Monitor • Analyze • Plan • Execute Self-Awareness & External Environment Self-Management Behavior to Execute

  19. 3.4 Autonomic Interaction & Policy Based Self-Management • Inter-Element interactions • Service-level agreements • Negotiations • Communications • Policy based management • Reduced complexity of products • Reduced complexity of system management • Uniform cross-product policy definition & management infrastructure

  20. 3.5 Computer-Human Interaction& Autonomic Systems • User studies • Interfaces (monitor & control behavior) • Techniques (defining, distributing, & understanding policies) • Autonomic computing • Makes choices for you • Personal computing • Allows you to make choices yourself

  21. 3.6 Science of Autonomicity • Understanding, controlling, or exploiting emergent behavior • Theoretical investigations of coupled feedback loops, robustness, & other related topics • Expressed as the automation of systems adaptation

  22. 3.7 Systems & SoftwareEngineering for Autonomic Systems • Early Days • Implementations/Prototypes • Architectures & proof tools • Current Models • Programming autonomic systems • Designs for self-management • Gathering requirements

  23. 3.7 Systems & SoftwareEngineering for Autonomic Systems • Legacy systems • Sensors & effectors • Kinesthetics eXtreme which runs a lightweight decentralized collection of active middleware components tied together via a publish/subscribe event system • Astrolabe tool may be used to automate self-configuration & monitoring, & control adaptation

  24. 4.0 Examples • 4.1 Early Success • 4.2 Research Systems • 4.3 Future

  25. 4.1 Early Success • DBMS • Evolution of more complex features • Reduced human interaction + cost • Alerts to DBA • SMART DB2 • Self-optimization • Self-configuration • Autonomic index determination • Disaster recovery • Continuous monitoring • Alerts

  26. 4.2 Research Systems • Unity • OceanStore • Storage Tank • Oceano • AutoAdmin • Sabio • Q-Fabric

  27. 4.3 Future • Urban Traffic Systems • Industrial/Residential Building Systems • Computing • IM • Spam Detection • Load Balancing • Smart Doorplates • Alphaworks (http://www.alphaworks.ibm.com/autonomic) • NASA

  28. Borrowed from Jeff Kephart’s talk, Applications of Multi-Agent Learning in E-Commerce and Autonomic Computing, 2002.

  29. Questions?

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