Autonomia: An Autonomic Control and Management Environment

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Autonomia An Autonomic Control and Management
Environment

• Salim Hariri
• Internet Technology Laboratory
• University of Arizona
• Tele [phone]
• Www.ece.arizona.edu/hpdc

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Outline

• Motivation and objectives
• Autonomia and M S Environment
• Autonomia Architecture
• Network Vulnerability Analysis Toolset
• Interoperability Test Framework
• Discussion

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Faster/Smaller/Cheaper Obsession
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(No Transcript)
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Unmanageable and Insecure System Complexity

• Explosion growth in information and integration
  technology (billions of devices)
• Ubiquitous Access to information through PCs,
  PDAs, Cells, smart appliances, etc. (millions of
  users)
• Severe shortage in skilled IT workers (hundreds
  of thousands in US) will increase 100 in the
  next six years
• Bottom Line
• The increasing system complexity is reaching a
  level beyond human ability to manage and secure

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Information Technology and Biology Convergence

• Without requiring
• our conscious
• when we run, it increases
• our heart and breathing rate

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Autonomic Computing New Era of Computing

• Its time to design and build computing systems
  capable of running themselves, adjusting to
  varying circumstances, and preparing their
  resources to handle most efficiently the
  workloads we put upon them. They must anticipate
  needs and allow users to concentrate on what they
  want to accomplish
• Paul Horn, IBM

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AUTONOMIA An Autonomic Control and Management

• Provide dynamically programmable control and
  management services to support the development
  and deployment of smart (intelligent)
  applications
• Provide automated performance and fault tolerant
  support for smart applications
• Provide automated deployment, registration,
  discovery of components
• Provide automated configuration of applications
  and system resources
• Provide secure, open computing environment

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Application Management Editor
Users Application
AME Parser
AIK Repository
AMS
Event Server
Autonomic Run-time System
Self Deploying
Application Management Repository
Application State Repository
Self Protecting
Self Optimizing
Self Healing
Policy Engine
Component Repository
Resource Repository
Application Delegated Manager (ADM)
Repository Interface
Host B
Host A
CS2
CS1
MAS A
MAS A
Task Agent
Resource Monitor
Task Agent
Resource Monitor
Component
Interface
Component
Interface
AMS Autonomic Middleware Service
AIK Application Information Knowledgebase
MAS Mobile Agent System
Agent Entry
Component Service Item
CS Computer Server
Node Entry
Component
Mobile Agent
MAE Service Item
Component Entry
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Application Management Editor
Users Application
1
AME Parser
AMS
AIK Repository
4
2
Event Server
Autonomic Run-time System
Self Deploying
4
Application Management Repository
Application State Repository
Self Protecting
Self Optimizing
Self Healing
Policy Engine
Component Repository
Resource Repository
2
4
Application Delegated Manager (ADM)
Repository Interface
4
3,4
3,4
Host B
Host A
CS2
CS1
MAS A
MAS A
4
Task Agent
Resource Monitor
Task Agent
Resource Monitor
Component
Interface
Component
Interface
MAS Mobile Agent System
Agent Entry
Component Service Item
CS Computer Server
Node Entry
Component
Mobile Agent
MAE Service Item
Component Entry
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Self- deploying/configuring Steps
Event Server
AIK Repository
1
7
Self Deploying
2
3
Component Repository
Resource Repository
Application Delegated Manager (ADM)
6
5
Host A
4
MAS A
Task Agent
Resource Monitor
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Component
Interface
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Fault Recovery Mechanism

• Component Fault Recovery

• Step
• Checkpointing regularly
• Detect a component failure
• Report a component fault entry
• Notify the fault handler
• Read the component type
• Get another available MAS
• Dispatch an agent to the host
• Read the checkpoint
• Resume execution

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Concluding Remarks

• New Computing Paradigms to handle complexity and
  uncertainty
• Autonomia Automate the deployment, configuration
  and control and management of applications/resourc
  es
• Applying Autonomia to AOL applications, Raytheon,
  and Grid Computing