This document discusses fault tolerance techniques for big data processing. It first introduces mobile big data fault-tolerant processing for eHealth networks. It then discusses using a reduced variable neighborhood search (RVNS) queue architecture (IRQA) to improve fault tolerance. Finally, it examines using harmony search algorithms for self-configuration of fault-tolerant grids for big data.

1. Prepared By:
Famela Memarzanjani
Fault tolerance in
Big Data
Fault tolerance
IRAN,Tehran, Islamic Azad University, Science and Research Branch, School of
Electrical and Computer Engineering
12 Dec. 2016
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2. 
 Mobile Big Data Fault-Tolerant Processing for eHealth Networks

 Kun Wang, Yun Shao, Lei Shu, Chunsheng Zhu, and Yan Zhang
 Ken Wang is with Nanjing University of Posts and Telecommunications.
 Yun Shao is with the University of Southern California.
 Lei Shu is the corresponding author for this article, and is with Guangdong
 University of Petrochemical Technology, Dalian University of Technology,
 and Guangdong Provincial Key Laboratory of Petrochemical Equipment
 Fault Analysis.
 Chunsheng Zhu is with the University of British Columbia.
 Yan Zhang is with Simula Research Laboratory and the University of Oslo.

 DOI: 10.1109/MNET.2016.7389829
 Publisher: IEEE
 Page(s): 36 - 42
 Date of Publication: 25 January 2016 Volume: 30 Issue: 1
 Print ISSN: 0890-8044
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3. E-Health (Electronic-Health
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4. 
 Health Information Technology
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5. 5

6. 
 reduced variable neighborhood search
 (RVNS) queue architecture (IRQA)

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7. 7

8. DGL
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9. DGL
IRQA
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DIL
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10. DIL
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learning machin
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11. 11

12. 
RVNS
XF(X(
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13. 13http://ce.aut.ac.ir/islab

14. 14http://ce.aut.ac.ir/islab
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(‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬‫ت‬)
‫تتتت‬ ‫تتت‬
‫تتتتتت‬ ‫تتتتتت‬
)GRASP(
)VNS(
)GLS(
)ILS(
)ACO(
)PSO(

15. 15

16. NEIGHBOURHOOD SEARCH NS
VARIABLE NEIGHBOURHOOD SEARCH VNS
REDUCED NEIGHBOURHOOD SEARCH RVNS
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17. 
FIFO
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IRQARVNS
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18. 18
RVNS

19. 19

20. 20

21. 
 Harmony Search to Self-Configuration of Fault-Tolerant Grids for Big Data

 J. Balicki ( ) W. Korłub M. Tyszka✉ ⋅ ⋅
 Faculty of Telecommunications, Electronics and Informatics, Gdańsk University
 of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
 e-mail: balicki@eti.pg.gda.pl
 W. Korłub
 e-mail: waldemar.korlub@pg.gda.pl
 M. Tyszka
 e-mail: tyszka.maciej@gmail.com
 © Springer International Publishing Switzerland 2016
 Z. Kowalczuk (ed.), Advanced and Intelligent Computations in Diagnosis
 and Control, Advances in Intelligent Systems and Computing 386,

 DOI: DOI 10.1007/978-3-319-23180-8_30
 Publisher: Springer International Publishing
 Page(s): 566-576
 Date of Publication: 25 January 2016 Volume: 30 Issue: 1
 Print ISSN: 978-3-319-45377-4
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22. 
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23. 23

24. Big Data
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MangoDB,Hadoop,Splunk
NS,VNS,RVNS,MAP-REDUCE
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25. MONGO
c++
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MASTER-SLAVE

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26. 


10

 InfoSphere Guardium data security and protection for MongoDB, Part 1: Overview of the solution and data security
recommendations
 www.ibm.com/developerworks
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27. HADOOP


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


 Hadoop Demystified
 IEEE JUNE 2012
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28. 28

29. 29

30. SPARK
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
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31. 31
Apache Spark: core concepts, architecture and internals
03 MARCH 2016 on Spark, scheduling, RDD, DAG, shuffle

32. 32

33. 33
MAP-REDUCE

34. MAP-REDUCE
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35. 35

36. 36

37. 37

38. 38

39. .
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40. Telegram.me/FTinDB
EMAIL: MEMAR@IUST.AC.IR
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