Reliability oriented allocation of files on distributed systems

Pathak, Rakesh M.; Kumar, Anand; Gupta, Yash P.

doi:10.1109/spdp.1991.218227

Cited by 11 publications

(3 citation statements)

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“…This initial generation can be generated by either a randomly created population or a well adapted population [8], For traveling salesman problem, it is shown in [5] that this use of adapted initial population provides very little advantage except the convergence is faster. In this paper, we have not used any criteria to generate biased or adapted population at the initialization stage, but instead the first generation is computed randomly.…”

Section: Chromosome Representationmentioning

confidence: 99%

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Performance Comparison of Two Algorithms for Task Assignment

Kumar

Ramakrishnan

Deshpande

et al. 1994

1994 International Conference on Parallel Processing Vol. 3

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~ In this paper we investigate a new algorithm for solving the optimal task assignment problem. The assignment is based on Stone's [11] "throughput" metric with the optimality criteria being the total cost for execution and interprocess communication.Two approaches studied are a new approach based on genetic algorithms and A*, a well known tree search algorithm for solving the same problem. We use the algorithm execution time as a performance criteria for the two algorithms. It is shown that the genetic algorithm techniques are more favorable than A* for larger search spaces while for smaller search spaces A* is preferred.

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Section: Chromosome Representationmentioning

confidence: 99%

“…The upper bound on the number of iterations in GA must be specified carefully [1, 4,8] to ensure that best objective function value is obtained within the specified number of iterations.…”

Section: Termination Rulesmentioning

confidence: 99%

Performance Comparison of Two Algorithms for Task Assignment

Kumar

Ramakrishnan

Deshpande

et al. 1994

1994 International Conference on Parallel Processing Vol. 3

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“…Some of them rely on technical parameters, i.e. on technical and functional requirements plus properties of system elements and components [4,5], whereas the other group rely on cost optimization models.…”

Section: Introductionmentioning

confidence: 99%

Reliability Distribution in Mechanical Systems for Given Reliability and Cost

Ivanovic

2013

AMR

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Modern mechanical systems are required to have high reliability characteristics. To attain them, it is necessary to take particular care (aside from laboratory and in service reliability examinations) of reliability design from the early development stages of a mechanical system. Reliability design for a new system includes an allocation of reliability to system elements which should meet specified requirements. In order to meet certain technical and economic system requirements, a method has been developed using Lagrange multipliers to determine "the best" reliability allocation from the basis of achieving minimum system cost (CSmin) for a specified system reliability (RS). In addition, this method offers the possibility of achieving maximum system reliability (Rmax) for a specified system cost (CS). This paper presents a reliability allocation method allowing the techno-economic requirements imposed on the system to be satisfied in an appropriate way. The method was developed considering some specific factors in the construction of mechanical systems and the relationship between system cost and reliability. In addition, a procedure was developed which permits the determination of "the best" reliability allocation using the multi-criteria ranking method and compromise programming, where system cost and reliability represent the criteria for choosing "the best" solution. The described allocation model was employed in the reliability allocation for an automotive gearbox.

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