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Java Autonomic Agent Framework with Self-Testing. Andrew Diniz da Costa Camila Nunes [email protected] [email protected] Roadmap. Motivation Related Works Proposal Challenges Conclusions. Motivation.

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Java autonomic agent framework with self testing l.jpg

Java Autonomic Agent Framework with Self-Testing

Andrew Diniz da Costa

Camila Nunes

[email protected]

[email protected]


Roadmap l.jpg
Roadmap

  • Motivation

  • Related Works

  • Proposal

  • Challenges

  • Conclusions

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Motivation l.jpg
Motivation

  • Many strategies have been proposed to address the problems associated with managing increasingly complex computing systems.

  • IBM’s Autonomic Computing (AC) paradigm is one such strategy

  • Researchers have been heavily investigating many areas of AC systems but there remains a lack of development in the area of testing these systems at runtime.

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Motivation

  • Dynamic self-configuration, self-healing, self-optimizing, and self-protecting features of autonomic systems require that validation be an integral part of these types of systems.

  • Some works revealed that one of the most dormant areas of AC research is the dynamic validation of these self-managing systems.

    • Quality of service

    • Trust of self-adaptation

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Motivation

  • There were not works found that apply self-test with SMA frameworks.

  • Offer support to apply self-test in agents of software

  • Define new control-loops with test.

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Related Work (1)

  • The control loop is defined as:

    • Monitoring mechanisms

    • Diagnosis mechanisms

    • Adaptation strategies

  • A prototype implementation consists of a pre-processing and a generation step.

  • Pre-processing test:

    • Identify possible integration problems

    • Generate test cases for revealing integration problems

    • Design suitable recovery actions

  • Applications

    • World-Weather

    • Virtual-Store

    • Personal-Mobility-Manager (PMM)

      Denaro, G., Pezze, M., and Tosi, D. 2007. Designing Self-Adaptive Service-Oriented Applications. In

      Proceedings of the Fourth international Conference on Autonomic Computing (June 11 - 15, 2007).

      International Conference on Autonomic Computing. IEEE Computer Society, Washington, DC.

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Related Work (1)

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Related Work (2)

  • Propose a methodology for testing AC System using copies of managed resources

    Stevens, R., Parsons, B., and King, T. M. 2007. A self-testing autonomic container. In Proceedings of the

    45th Annual Southeast Regional Conference (Winston-Salem, North Carolina, March 23 - 24, 2007). ACM-

    SE 45. ACM, New York, NY, 1-6.

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Related Work (3)

  • Metrics and Evaluation

    • Quality of Service (QoS)

    • Cost

    • Granularity and Flexibility

    • Failure avoidance

    • Degree of Autonomy

    • Time to adapt and reaction time

    • Stabilization

  • These metrics are more general than other

    Evaluation Issues in Autonomic Computing.International Workshop on Agents and Autonomic Computing

    and Grid Enabled Virtual Organizations (AAC-GEVO’2004). LNCS.

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Proposal

  • Extend the JAAF to apply self-testing.

  • Define an activity of Test that can be used in different control loops.

  • Propose a new control loop.

  • Define attributes of quality.

  • The framework offers support to:

    • Define which test cases to execute

      • Integration with JUnit, RFT

    • Input data (pool)

    • Execution of the test cases

    • Output data (log)

    • Decide what to do

  • Measurement

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New Control Loop

Self-Adaptation

Layer

TDL

QSDL

(3)

Selection of

test cases

Execution

(1)

Data for testing

(quality of service)

Output Log

(2)

Tester

Decision

Analyze

Collect

Effector

Collect

Data

Format

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“Selection of Test Cases” Activity

  • Test Definition Language (TDL)

  • <testcases>

    • <setTestCase version=“1.0” type=“JUnit” context=“travel” priority=“1”>

    • <testcase classname=“SumUnit.class” priority=“1”>

    • <testcase classname=“MultUnit.class” priority=“2”>

    • <testcase classname=“DivUnit.class” priority=“3”>

    • </setTestCase>

    • <setTestCase version=“1.0” type=“RFT” context=“travel” priority= “2”>

    • <testcase classname=“reportRFT.class” priority=“1”>

    • <testcase classname=“warningRFT.class” priority=“2”>

    • <testcase classname=“printRFT.class” priority=“3”>

    • </setTestCase>

    • ...

    • </testcases>

TDL file

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“Data for Testing” Activity

  • Quality of Service Definition Language (QSDL file)

  • <contexts>

    • <context version=“1.0” name=“travel”>

    • <data name=“cost” value=“2000”>

    • <data name=“flexible” value=“String”>

    • <data name=“complexity” value=“3”>

    • </context>

    • <context version=“2.0” name=“travel”>

    • <data name=“cost” value=“1000”>

    • <data name=“flexible” value=“Double”>

    • <data name=“complexity” value=“2”>

    • </context>

    • ...

    • </contexts>

QSDL file

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Class Diagram

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Case Study

  • Virtual Market Place

  • Using OWL-S

  • Searching a domain more real

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Challenges

  • Measurement in control loops*

    • Impact of the adaptation

  • Norms with self-testing

  • Reputation with self-testing

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Conclusion

  • Self-testing is an area without a lot of works.

  • Interactions within our testing framework by implementing the self-management characteristics such as self-healing, self-protection and self-optimization.

  • Investigate the use of safe adaptation methods.

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