Title :
Dependability modeling and analysis of distributed programs
Author :
Lopez-Benitez, Noé
Author_Institution :
Dept. of Comput. Sci., Texas Tech. Univ., Lubbock, TX, USA
fDate :
5/1/1994 12:00:00 AM
Abstract :
Presents a modeling approach based on stochastic Petri nets to estimate the reliability and availability of programs in a distributed computing system environment. In this environment, successful execution of programs is conditioned on the successful access of related files distributed throughout the system. The use of stochastic Petri nets is demonstrated by extending a basic reliability model to account for repair actions when faults occur. To this end, two possible models are discussed: the global repair model, which assumes a centralized repair team that restores the system to its original status when a failure state is reached, and the local repair model, which assumes that repairs are localized to the node where they occur. The former model is useful in evaluating the availability of programs (or the availability of the hardware support) subject to hardware faults that are repaired globally; therefore, the programs of interest can be interrupted. On the other hand, the latter model can be used to evaluate program reliability in the presence of hardware faults subject to repair, without interrupting the normal operation of the system
Keywords :
Petri nets; distributed algorithms; multiprocessing programs; program diagnostics; programming theory; software reliability; stochastic processes; system recovery; centralized repair team; dependability analysis; dependability modeling; distributed computing system environment; distributed programs; failure state; file distribution; global repair mode; hardware faults; hardware support; local repair model; program availability; program execution; program interruption; program reliability; repair actions; stochastic Petri nets; system status restoration; Availability; Distributed computing; Distributed control; Graph theory; Hardware; Petri nets; Reliability theory; Stochastic processes; Stochastic systems; Tree graphs;
Journal_Title :
Software Engineering, IEEE Transactions on