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An Overview of ABFT in cloud computing

An Overview of ABFT in cloud computing. Shiv Kumar Gupta Department of Computer Science A.P.S.U., Rewa M.Phil.(2009-10). An Overview of ABFT in cloud computing. Introduction Dependability Fault-tolerance ABFT FFT Conclusions. What is cloud computing?.

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An Overview of ABFT in cloud computing

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  1. An Overview of ABFT in cloud computing Shiv Kumar Gupta Department of Computer Science A.P.S.U., Rewa M.Phil.(2009-10)

  2. An Overview of ABFT in cloud computing • Introduction • Dependability • Fault-tolerance • ABFT • FFT • Conclusions

  3. What is cloud computing? • Cloud computing gets as a metaphor for the internet. • The internet is represented in network diagram as a cloud. • A cloud is a type of parallel and distributed system. • It is a collection of inter-connected and virtualized computers

  4. What is cloud computing? • Which are presented as one or more unified computing resources. • It is based on service – level agreements. • Its communication between service provider and consumer. • So, I can say in the internet of search engine like www.google.com is cloud viz.,

  5. . • G – Global • O – Outsourcing • O – Of • G – Grounded • L – Learning • E – Encyclopedia/Era Is cloud computing over the internet

  6. Meaning of dependability • Dependability is the concept of reliability ,safety or security. • It is tool of attributes, means, impairments • Attributes have availability, reliability, safety, confidentiality, integrity, and Maintainability. • Means have fault prevention, fault tolerance, fault removal, fault forecasting • Impairments have faults, errors, failures

  7. Fault -tolerance • Fault tolerance methods come into play the moment a fault enters the system boundaries. • Fault tolerance have two sub-techniques error processing and fault treatment. • Error processing aims at removing errors from the computational state. • Computational state means if possible, before failure occurrence.

  8. Fault-tolerance • In the error processing technique task is error detection, error diagnosis, and error recovery. • And fault treatment aims at preventing faults from being re-activated.

  9. ABFT • Algorithm-based fault tolerance technique presented by Hung and Abraham in 1984 • ABFT is aimed at hardening processors when executing matrix application. • Hardening processor is obtained by adding ,coding information to matrices. • Matrices application is working on n x m elements .

  10. ABFT • Corresponding column check sum matrix Ac is an (n+1) x m matrix. • Which consists of the matrix A in the first n rows and a column summation vectors in the (n+1)th row. A Checksum Figure 1-1. A column

  11. ABFT • Corresponding row checksum matrix A, is an n x (m+1) matrix. • Which consists of the matrix A in the first m column and a row summation vectors in the (m+1)th column. A checksum Figure1-2. A row

  12. ABFT • Corresponding full checksum matrix A f is an (n+1) x (m+1) matrix. • Which is the column checksum matrix of the row checksum matrix A rof A. A checksum Checksum Figure 1-3. A Checksum Matrix

  13. FFT • Fast Fourier Transformation is another Algorithm based technique. • Which is an ad hoc hardware architecture. • Supported to ad hoc hardware. • The main purpose to modify the algorithm to detect faults arising in the ad hoc hardware architecture.

  14. FFT • FFT method is suitable in conventional computer. • Even if the FFT algorithm is implemented in software on a conventional computer

  15. Conclusion • Algorithm based approach provides good results in terms of detection capability and relatively. • And also in terms of memory and performance overhead. • Limitation of algorithm based approach has been only applied to those algorithm for which an ABFT created. • Mainly to regular data structure.

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