RTESCMS Potential Collaboration - PowerPoint PPT Presentation

Title: RTESCMS Potential Collaboration


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RTES/CMS Potential Collaboration

• RTES Group
• Vanderbilt University
• University of Illinois, Urbana Champaign
• University of Pittsburgh
• Syracuse University
• Fermilab

(NSF ITR grant ACI-0121658)
2
Outline

• RTES Overview
• Goals, Team, Deliverables
• Tool Approach
• Modeling, Armors, VLA
• Demo Description
• Potential Collaborations
• System Configuration
• Run-Control
• Fault Mitigation
• GUI

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RTES Team

• The Real Time Embedded System Group
• A collaboration of five institutions,
• University of Illinois
• University of Pittsburgh
• University of Syracuse
• Vanderbilt University (PI)
• Fermilab
• Physicists and Computer Scientists/Electrical
  Engineers with expertise in
• High performance, real-time system software and
  hardware,
• Reliability and fault tolerance,
• System specification, generation, and modeling
  tools.
• NSF ITR grant ACI-0121658

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RTES Goals

• High availability
• Fault handling infrastructure capable of
• Accurately identifying problems (where, what, and
  why)
• Compensating for problems (shift the load,
  changing thresholds)
• Automated recovery procedures (restart /
  reconfiguration)
• Accurate accounting
• Extensibility (capturing new detection/recovery
  procedures)
• Policy driven monitoring and control
• Dynamic reconfiguration
• adjust to potentially changing resources

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RTES Goals (continued)

• Faults must be detected/corrected ASAP
• semi-autonomously
• with as little human intervention as possible
• distributed and hierarchical monitoring and
  control
• Life-cycle maintainability and evolvability
• to deal with new algorithms, new hardware and
  new versions of the OS
• User-defined Actions
• Customized to application/users

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The RTES Solution (for BTeV)
Modeling
Analysis
Resource
Reconfigure
Performance Diagnosability Reliability
Synthesis
Design and Analysis
Fault Behavior
Feedback
Algorithms
Synthesis
Runtime
Region Operations Mgr
ExperimentControl Interface
L1
L2/3
Soft Real Time
Hard
High Level Hierarchical fault management
Low Level
7
RTES Concepts

• A hierarchical fault management system and
  toolkit
• Model Integrated Computing
• GME (Generic Modeling Environment) system
  modeling tools
• ARMORs (Adaptive, Reconfigurable, and Mobile
  Objects for Reliability)
• Robust framework for detection and reaction to
  faults in processes
• VLAs (Very Lightweight Agents for limited
  resource environments)
• Sensors/actuators to monitor/mitigate at every
  level

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Configuration through Modeling

• Multi-aspect tool, separate views of
• Hardware components and physical connectivity
• Executables configuration and logical
  connectivity
• Fault handling behavior using hierarchical state
  machines
• Model interpreters can generate the system
• At the code fragment level (for fault handling)
• Download scripts and configurations
• Modeling languages are application specific
• Shapes, properties, associations, constraints
• Appropriate for application/context
• System model
• Messaging
• Fault mitigation
• GUI, etc.

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Modeling Environment GME

• Fault handling
• Process dataflow
• HW Configuration

GME is an Open-Source, Meta-configurable,
multi-aspect graphical modeling tool
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System Integration Modeling Language SIML

• Model Component Hierarchy and Interactions
• Loosely specified model of computation
• Model information relevant for system
  configuration
• Links to other narrowly focused modeling
  languages
• provides overall picture and access to models in
  other languages
• Overall Deployment View

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System Architecture expressed with SIML

• RunControl Manager
• Router Information
• How many regions ?
• How many worker nodes inside the region?
• Node Identification information

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SIML - Generation

• Configuration files
• Build Scripts
• Deployment Scripts
• Router Configurations

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Data Type Modeling Language DTML

• Modeling of Data Types and Structures
• Auto-generate marshalling-demarshalling
  interfaces for communication

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Fault Mitigation Modeling Language - FMML
C

• Specification of Fault Mitigation Behavior using
  Hierarchical Finite State Machines (A)
• Configuration and instantiation of FM behaviors
  as ARMORs (B)
• Specification of FM Triggering Communication (C)

A
B
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FMML Generation

• Model translator generates fault-tolerant
  strategies and communication flow strategy from
  FMML models
• Strategies are plugged into ARMOR infrastructure
  as ARMOR elements
• ARMOR infrastructure uses these custom elements
  to provide customized fault-tolerant protection
  to the application

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User Interface Modeling Language

• Enables reconfiguration of user interfaces
• Structural and data flow codes generated from
  models
• User Interface produced by running the generated
  code

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User Interface Generation
Generator
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RTES Demonstration at IEEE RTAS05

• Used Tools and Models to Generate a Family of
  Demos
• 4, 16, 32, and 64 Processor Systems
• Demonstrates Fault Mitigation in a L2/L3 Trigger
  Prototype for BTeV
• GUI Matlab-based
• GUI design specified by GME models (GUIML)
• Network/Messaging Elvin publish/subscribe
• Messages defined by GME models (DTML)
• RunControl (RC) state machines
• Defined by GME models (SIML)
• Infrastructure ARMORs
• Custom Fault Mitigation elements defined by
  models (FMML)
• Application L2/3 FilterApp, DataSource
• Actual physics trigger code
• File-reader supplies physics/simulation data to
  the FilterApp

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Potential RTES contributions to CMS

• Graphical Modeling Tools for
• Specifying FunctionManager StateMachines with
  FMML
• Specifying Communication Messages at a
  higher-level of abstraction with DTML
• Can synthesize serialization/deserialization code
  for the specific implementation technology such
  as SOAP
• Designing GUIs independent of the implementation
  technology with GUIML
• Can synthesize Java applet code for rendering and
  communication over SOAP
• Designing System Configurations with SIML a la
  DuckCAD
• Can synthesize artifacts in addition to XML
  configuration files
• Fault Tolerance Approach and Concepts
• Hierarchical Fault Mitigation via
  collaborating/coordinating FM Managers
• Custom fault-mitigation behavior specification as
  hierarchical finite state machines
• ARMORs and VLAs

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Potential RTES/RCMS Mapping
SIML
DTML
Configures
FMML
GML
And others
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Modeling Configurations with SIML
XDAQ ptMAZE example
Defining a partition or region

• lt?xml version'1.0'?gt
• ltPartitiongt
• ltDefinitionsgt
• ltClassDef id"15"gtptMAZElt/ClassDefgt
• ltClassDef id"11"gtRoundTriplt/ClassDefgt
• lt/Definitionsgt
• ltHost id "0" url"http//host140000"gt
• ltAddress type"ptMAZE"
• port"56"
• boardId"0"
• service"maze_service_immediate"
• switch"MAZE_SWITCH_M3E128"/gt
• ltApplication class"RoundTrip"
• targetAddr"auto"
• instance"0" network"ptMAZE"gt
• ltDefaultParametersgt
• ltParameter name"samples"
• type"unsigned long"gt
• 1000000

Host or application attributes
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Modeling Configurations with SIML
XDAQ ptMAZE example
Defining communications

• ltTransport class"ptMAZE"
• targetAddr"auto" instance"0"gt
• ltDefaultParametersgt
• ltParameter name"pollingMode" type"bool"gt
• false
• lt/Parametergt
• ltParameter name"mtuSize" type"int"gt
• 4096
• lt/Parametergt
• . . .
• lt/DefaultParametersgt
• lt/Transportgt
• lturlTransportgt
• //linux/x86/libptMAZE.so
• lt/urlTransportgt
• lt/Hostgt
• ltHost id "1" url"http//host240000"gt
• ltAddress type"ptMAZE"

protocol attributes
Defining an application
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Function Manager StateMachine Artifacts

• Statemachine.java
• Setup state-machine.
• States.java
• Set of possible states.
• Inputs.java
• Set of possible triggers.
• TransitionActions.java
• During state transition.
• TransitionFailedAction.java
• Transition Action failed.
• StateChangedAction.java
• When state has changed.
• FailureAction.java
• Transition failed.

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StateMachine.java

• public class HelloStateMachine extends
  UserStateMachine
• ...
• StateMachineDefinition fsmdef new
  StateMachineDefinition()
• // Inputs (Commands)
• fsmdef.addInput(HelloInputs.GOTOHELLO)
• fsmdef.addInput(HelloInputs.GOTOINIT)
• // Initial state
• fsmdef.setInitialState (HelloStates.INITIAL)
• // States
• fsmdef.addState(HelloStates.INITIAL)
• fsmdef.addState(HelloStates.HELLO)
• fsmdef.addTransition(
• HelloInputs.GOTOHELLO,
• HelloStates.INITIAL,

As expressed in FMML Models
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States.java

• public final class HelloStates
• public static final State INITIAL new State(
  "Initial" )
• public static final State HELLO new State(
  "Hello" )
• public static final State ERROR new State(
  "Error" )

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Inputs.java

• public class HelloInputs
• public static final Input GOTOHELLO new Input(
  "GoToHello" )
• public static final Input GOTOINIT new Input(
  "GoToInit" )

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TransitionActions.java

• public class HelloTransitionActions
• extends UserTransitionActions
• public void helloAction()
• throws UserActionException
• System.out.println("helloAction Executed" )
• logger.info( "helloAction Executed")

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TransitionFailedAction.java

• public class HelloTransitionFailedActions
• extends UserTransitionFailedActions
• public void helloFailedAction()
• throws UserActionException
• logger.info("Executing helloFailedAction")
• getUserStateMachine().setState(DaqkitStates.ERROR
  )
• logger.info(helloFailedAction Executed")

(This requires extensions to the modeling
language)
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SOAP Messages - Client-Server ExampleSerializing
SOAPName commandName envelope.createName (
increment ) SOAPName originator
envelope.createName ( originator ) SOAPName
targetAddr envelope.createName ( targetAddr
) SOAPBody body envelope.getBody() SOAPElement
command body.addBodyElement ( commandName )
..
We can provide an abstract API call for creating
message such that the user code need not have
any understanding of the underlying SOAP calls
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Deserializing SOAP Messages
SOABBody body reply.getSOAPPart().getEnvelope().
getBody() if (body.hasFault()) SOAPFault
fault body.getFault() string msg Server
error msg fault.getFaultString() XDAQ_RAI
SE (xdaqException, msg) else SOAPName
counterTag (Counter, , ) vectorltSOAPElement
gt content body.getChildElements() for (int i
0 i lt content.size() i)
vectorltSOAPElementgt c contenti.getChildElemen
ts(counterTag) for (int j 0 j lt c.size()
j) 54 if (c0.getElementName()
counterTag) cout ltlt The server replied with
counter cout ltlt c0.getValue() ltlt endl
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Reply to the message deserializing
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I2O Message RU Builder example

• DTML language
• allows both simple
• and composite types
• Floats ,integers ,
• signed , unsigned
• can be specified.
• Corresponding
• marshall demarshall
• code can be
• generated from models

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Discussions

• Relevancy/Interest?
• Tuning the concepts.
• Next Steps?
• More documentation CMS/XDAQ
• GUI, SOAP messages, I2O Messages, State Machines,
  Data monitor,
• XDAQ Examples
• Full, Larger-scale, Applications
• How can we contribute?
• Visit? June 4th
• Goals, Preparations?

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Backup Slides
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ARMOR Adaptive Reconfigurable Mobile Objects of
Reliability
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Very Lightweight Agents

• Minimal footprint
• Platform independence
• Employable everywhere in the system!
• Monitors hardware and software
• Handles fault detection communications with
  higher level entities

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L2/3 Prototype Farm Setup
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The Demonstration System Architecture
public
private
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Matlab GUI

• Monitoring/Display of Node, and Region Health and
  Performance
• Command Interface for starting/stopping system
• Debug Interface for injecting faults