Indian Journal of Science and Technology

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Weathering Server System Operations


Affiliations
1 Amity Institute of Telecom Engineering and Management, Amity University, Noida–201303, India
2 Department of Statistics, Maharshi Dayanand University, Rohtak–124001, India
 

In this paper reliability measures of a single-unit system operating under two weather conditions – normal and abnormal are evaluated using regenerative point technique. For this purpose, a reliability model is developed in which partial failure unit, fails totally. A single server randomly appears at partial failure of the unit on condition to visit immediately on complete failure of the system. The inspection of the unit at its partial failure is to assess the possibility of on-line repair. If not possible, it is repaired in down state. The repair of the unit at its complete failure is done without inspection. Server remains with the system in abnormal weather. The failure time of the unit and time of change of weather conditions are distributed exponentially; while the distributions of inspection and repair times are taken as arbitrary. Graphs are drawn to depict the behavior of some reliability and economic measures.

Keywords

Weather Conditions, Conditional Random Appearance of the Server, Inspection, On-line Repair, Partially Failure Stage (PFS), Reliability Measures
User

  • Dhillon B S, and Natesan J [1983]. Stochastic analysis of outdoor power system in fluctuating environment, Microelectronics Reliability, vol 23(5), 867–881.

  • Malik S C, and Barak M S [2007]. Probabilistic analysis of a single-server system operating under different weather conditions, Journal of Mathematical Analysis and Appro-ximation Theory, vol 2(2), 173–182.

  • Pawar D, Malik S C et al. [2010]. Steady state analysis of an operating system with repair at different levels of damages subject to inspection and weather conditions, International Journal of Agricultural and Statistical Sciences, vol 6, No. 1, 225–234.

  • Malik S C, Pawar D et al. [2010]. Analysis of a system workingunder different weather conditions with on-line repair and random appearance of the server at partial failure stage, Inter-national Journal of Statistics and Systems, vol 5, No. 4, 485–496.

  • Malik S C, and Pawar D [2010]. Reliability and economic measures of a system with inspection for on-line repair and no repair activity in abnormal weather, Bulletin of Pure and Applied Sciences, vol 29E(2), 355–368.

  • Pawar D, and Malik S C [2011]. Performance measures of a single unit system subject to different failure modes with operation in abnormal weather, International Journal of Engineering Science and Technology, vol 3(5), 4084–4089.


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  • Weathering Server System Operations

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Authors

D. Pawar
Amity Institute of Telecom Engineering and Management, Amity University, Noida–201303, India
S. C. Malik
Department of Statistics, Maharshi Dayanand University, Rohtak–124001, India
Reetu
Department of Statistics, Maharshi Dayanand University, Rohtak–124001, India

Abstract


In this paper reliability measures of a single-unit system operating under two weather conditions – normal and abnormal are evaluated using regenerative point technique. For this purpose, a reliability model is developed in which partial failure unit, fails totally. A single server randomly appears at partial failure of the unit on condition to visit immediately on complete failure of the system. The inspection of the unit at its partial failure is to assess the possibility of on-line repair. If not possible, it is repaired in down state. The repair of the unit at its complete failure is done without inspection. Server remains with the system in abnormal weather. The failure time of the unit and time of change of weather conditions are distributed exponentially; while the distributions of inspection and repair times are taken as arbitrary. Graphs are drawn to depict the behavior of some reliability and economic measures.

Keywords


Weather Conditions, Conditional Random Appearance of the Server, Inspection, On-line Repair, Partially Failure Stage (PFS), Reliability Measures

References





DOI: https://doi.org/10.17485/ijst%2F2013%2Fv6i10%2F38787