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Proceedings of Fifth International Conference on Soft Computing for Problem Solving pp 975–989Cite as

Fuzzy Bicriteria Optimization Model for Fault Tolerant Distributed Embedded Systems Under Reuse-or-Build-or-Buy Strategy Incorporating Recovery Block Scheme

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

A practical approach for component selection of hardware and software components in embedded systems has been considered in this paper. Redundancy has been incorporated using RB/1/1 architecture to make the system fault tolerant. Software industry has been relying on CBSD approach for adopting components with reuse attribute. Software engineers are constantly facing a challenge to select a right mix of components from ready-to-use COTS, in-house built, and fabricated components. Such a decision is reuse-build-buy decision, based upon several factors. Through this paper, an optimization model has been proposed for selection of right mix of components using reuse-build-buy decision, maximizing the overall reliability of the embedded system simultaneously minimizing cost under RB/1/1 fault tolerant scheme. Imprecision can be induced in the parameters due to ambiguity human judgment for which fuzzy optimization approach has been considered.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Banasthali Vidyapith, Vanasthali, Rajasthan, India

    Ramandeep Kaur

  2. Department of Operational Research, University of Delhi, Delhi, India

    Stuti Arora & P. C. Jha

Authors
  1. Ramandeep Kaur
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  2. Stuti Arora
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  3. P. C. Jha
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Corresponding author

Correspondence to Ramandeep Kaur .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

Appendices

Appendix 1: TFN for Reliability and DT of Hardware

SS

Hardware instance

Reliability

Delivery time

a 1

a 2

a 3

a 1

a 2

a 3

1

1

0.91

0.96

0.97

7

9

11

2

0.9

0.915

0.93

11

12

17

2

1

0.895

0.915

0.955

7

8

13

2

0.93

0.935

0.96

10

12

14

3

0.88

0.93

0.96

8

9

10

3

1

0.79

0.8

0.85

10

11

12

2

0.8

0.81

0.86

18

20

22

3

0.79

0.81

0.83

12

13

18

4

1

0.81

0.835

0.84

6

7

8

Appendix 2: TFN for Reliability, Delivery Time and Execution Time of COTS Components

SS

COTS instance

Reliability

Delivery time

Execution time

a 1

a 2

a 3

a 1

a 2

a 3

a 1

a 2

a 3

1

1

0.92

0.95

0.96

13

14

19

0.33

0.36

0.38

2

0.83

0.90

0.92

11

12

13

0.29

0.31

0.35

3

0.83

0.87

0.90

9

11

13

0.31

0.34

0.36

2

1

0.89

0.93

0.94

7

9

11

0.26

0.27

0.28

2

0.93

0.93

0.96

8

9

10

0.23

0.24

0.28

3

1

0.90

0.91

0.92

6

7

8

0.68

0.71

0.73

2

0.91

0.94

0.95

5

7

13

0.63

0.65

0.67

4

1

0.89

0.90

0.93

7

8

13

0.49

0.52

0.53

2

0.87

0.92

0.95

10

12

14

0.53

0.54

0.59

3

0.81

0.93

0.91

10

11

12

0.51

0.54

0.56

Appendix 3: TFN for ET of Build Components and ET of Reusable Components

SS

Execution time of in-house developed components

Execution time of fabricated reusable components

a 1

a 2

a 3

a 1

a 2

a 3

1

0.31

0.355

0.38

–

–

–

2

0.225

0.27

0.275

0.275

0.295

0.335

3

0.69

0.725

0.74

–

–

–

4

–

–

–

0.48

0.515

0.53

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Ramandeep Kaur, Stuti Arora, Jha, P.C. (2016). Fuzzy Bicriteria Optimization Model for Fault Tolerant Distributed Embedded Systems Under Reuse-or-Build-or-Buy Strategy Incorporating Recovery Block Scheme. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_85

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_85

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