Effect of Maintenance on Computer Network Reliability

Abstract

At the time of the new information technologies, computer networks are inescapable in any large organization, where they are organized so as to form powerful internal means of communication. In a context of dependability, the reliability parameter proves to be fundamental to evaluate the performances of such systems. In this paper, we study the reliability evaluation of a real computer network, through three reliability models. The computer network considered (set of PCs and server interconnected) is localized in a company established in the west of Algeria and dedicated to the production of ammonia and fertilizers. The result permits to compare between the three models to determine the most appropriate reliability model to the studied network, and thus, contribute to improving the quality of the network. In order to anticipate system failures as well as improve the reliability and availability of the latter, we must put in place a policy of adequate and effective maintenance based on a new model of the most common competing risks in maintenance, Alert-Delay model. At the end, dependability measures such as MTBF and reliability are calculated to assess the effectiveness of maintenance strategies and thus, validate the alert delay model.

Optimization of Maintenance Task Interval of Aircraft Systems

“…Horenbeek & Pintelon (2013) presented a dynamic predictive maintenance policy that reduces long-term maintenance cost per unit time in multi-component systems while considering different component dependencies (i.e., structural, economic and stochastic dependence) [50].To determine the performance of the dynamic predictive maintenance policy, a numerical example was compared to five other traditional maintenance policies based on minimal mean maintenance costs per unit time while considering different component dependencies. The traditional maintenance policies are: continuous condition-based maintenance, age-based maintenance, age-based maintenance with grouping, block-based maintenance, and inspection condition-based maintenance [50][51][52][53][54].…”

Maintenance Decision-Making Under the Cost Criterion and the Competing Risks Approach

“…To optimize maintenance policy, knowledge of the system lifetime is essential, for this, a study on the reliability of this system has previously been made (Oudjedi Damerdji & Noureddine, 2014) and the final result indicated that the Exponential distribution is suited for the computer system reliability and that is why the Exponential Alert Delay model has been chosen for this present study. The failure rate of the system not maintained has been estimated to λ(t) = 0.00014437 failures per second.…”