Autonomic computing

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Autonomic computing

  1. 1. Topic:- Autonomic Computing Presented By :- Neera Gupta College:- U.V. Patel College Of Engineering
  2. 2. BY:-NEERA GUPTAVTH SEMCOMPUTER ENGG.U.V.P.C.E.MEHSANA
  3. 3. INTRODUCTIONThe body’s autonomic nervous system,which controls involuntary actions withoutconscious awareness or involvement, hasfascinated the world of medicine. So whycan’t it be the same with computers?……………Must a computer engineer or a systemsadministrator monitor a server round-the-clock to ensure normal operation?……………
  4. 4. AUTONOMIC CYCLE
  5. 5. CHARACTERISTICS OF SELF-MANAGING SYSTEMS
  6. 6. BENEFITSImmediate benefits will includereduced dependence on humanintervention to maintain complexsystems accompanied by asubstantial decrease in costs.Long-term benefits will allowindividuals, organizations andbusinesses to collaborate oncomplex problem solving.
  7. 7. CHALLENGESScalable storage and processingpowerTransparency in routing andformatting data to variable devicesEvolving chip development to betterleverage memoryImproving network-monitoringfunctionsSmarter microprocessors that candetect errors and anticipatefailures
  8. 8. PROBLEMNew demands due to simultaneousexplosion of information andintegration of technology intoeveryday lifeThe stability of currentinfrastructure, systems, and datais at an increasingly greater risk tosuffer outrages and generaldisrepair.Increasing system complexity isreaching a level beyond humanability to manage and secure.
  9. 9. SOLUTIONThe solution may lie in automation,or creating a new capacity whereimportant computing operations canrun without the need for humanintervention. This new model ofcomputing is called autonomiccomputing. The good news is thatsome components of this technologyare already up and running.
  10. 10. ELIZAELIZA is a program which permitsnatural-language conversationbetween a human and a computerIt is an ongoing effort to createservers that respond to unexpectedcapacity demands and systemglitches without human intervention.Its goals are to achieve newheights in reliability, availabilityand serviceability, and new lows indowntime and cost of ownership.
  11. 11. Traits Of Project ElizaSupport for dynamic clusteringSupport for dynamic partitioningEZSetUp wizards, allowing for self-installationUser authentication, directoryintegration and other tools to protectaccess to network resourcesHeterogeneous enterprise-wideworkload management
  12. 12. Other ExamplesAdaptive data flow engineNorth Carolina biometrics gridMachine check architecture (MCA)IceCube serverRecovery-oriented computing (ROC)

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