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Application of Fault Injection to Globus Grid Middleware

School of Computing FACULTY OF ENGINEERING. Application of Fault Injection to Globus Grid Middleware. Nik Looker & Jie Xu University of Leeds, Leeds. LS2 9JT, UK Tianyu Wo & Jinpeng Huai Beihang University, Beijing 100083, PRC. 1. A Historical Perspective. Dependability & Security.

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Application of Fault Injection to Globus Grid Middleware

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  1. School of Computing FACULTY OF ENGINEERING Application of Fault Injection to Globus Grid Middleware Nik Looker & Jie Xu University of Leeds, Leeds. LS2 9JT, UK Tianyu Wo & Jinpeng Huai Beihang University, Beijing 100083, PRC 1

  2. A Historical Perspective

  3. Dependability & Security • To understand dependability it is important to understand the three main concepts that it utilises: • Attributes • Measurements of how Dependable and Secure a system is • Threats • Things that may affect the Dependability and Security of a system • Means • Ways of increasing the Dependability and Security of a system

  4. Attributes • Availability • The probability that a service is present and ready for use • Reliability • The capability of maintaining the service and service quality • Safety • The absence of catastrophic consequences • Confidentiality • Information is accessible only to those authorised to use it • Integrity • The absence of improper system alterations • Maintainability • To undergo modifications and repairs

  5. Threats • Fault • A fault is a defect in a system • Error • An error is a discrepancy between the behaviour of a system and its specified behaviour within the system boundary • i.e. it enters an unspecified state • Failure • A failure is an instance in time when a system displays behaviour that is contrary to its specification at the system boundary

  6. Fault-Error-Failure Chains • As a general rule: • A fault, when activated, can lead to an error • An error is an invalid state • An invalid state generated by an error may lead to either another error or a failure • A generated error can be treated as another fault • A failure is an observable deviation from the specified behaviour at the system boundary

  7. Means • Dependability means are ways of breaking fault-error-failure chains. • Four main classifications: • Fault Prevention • Fault Removal • Fault Forecasting • Fault Tolerance

  8. Fault Injection • Fault Injection • MTBF may be very large • Attempt to speed up this process by injecting faults • Cause the execution of seldom used control pathways within a system • Either • A failure may occur • System’s fault tolerance mechanism will handle the fault • or the failure will go undetected and uncorrected :-( • Network Level Fault Injection • Corrupt • Drop • Reorder

  9. Network Level Fault Injection

  10. Modified Network Level Fault Injection This allows a fault injector to intercept an entire middleware message, and thus we can decode it and modify specific parts of it.

  11. Grid-FIT

  12. Injecting Faults in a Production Environment

  13. System Model

  14. Extended Fault Model

  15. Extended Failure Model

  16. Failure Detection

  17. Application to Globus • Initial experiments were based around Web Services • This resulted in the WS-FIT tool • (Web Service - Fault Injection Technology) • Ultimate aim was to apply this method to Grids • This has resulted in the Grid-FIT tool • Modifications and initial experiments have been conducted • Modified hooks to work with Globus • Adapted FIT decoding to Globus message structure • Repeated an earlier set of experiments rewritten for Globus 4

  18. Test Case

  19. Results

  20. Future Work • Apply Grid-FIT to complex systems • CoLaB • Short for Collaboration of Leeds and Beihang, is a joint laboratory founded by the Beihang University, PRC & University of Leeds, UK. in 2005. • The primary mission of CoLaB is research in Software and Security, each linked through a common objective • To support the needs of the next generation of Internet computing. • CROWN • Short for China Research and Development environment Over Wide-area Network, is a grid test bed to facilitate scientific activities in different disciplines. • We are currently working on integrating Grid-FIT with CROWN • This will give Grid-FIT a large test bed to refine its method and models • This will give CROWN a native Dependability Assessment method • Part of the integration will be to integrate Grid-FIT as an Eclipse plug-in

  21. Demonstrations & Workshop • Demonstrations • Venue: White Rose Grid Stall • Wednesday 20th September 13:45 – 14:30 • Thursday 21st September 10:00 -10:45 • CROWN Tianyu Wo woty@act.buaa.edu.cn • FT-Grid Paul Townend pt@comp.leeds.ac.uk • Grid-FIT Nik Looker nlooker@comp.leeds.ac.uk • Mini-Workshop on UK-China e-Science Collaborations • Venue: Conference Room 1 • Wednesday 20th September 17:00 - 19:00

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