By Karama Kanoun, Lisa Spainhower
A accomplished selection of benchmarks for measuring dependability in hardware-software systemsAs computers became extra advanced and mission-critical, it's crucial for structures engineers and researchers to have metrics for a system's dependability, reliability, availability, and serviceability. Dependability benchmarks are necessary for directing improvement efforts for approach prone, acquisition offerings of method buyers, and reviews of latest techniques through researchers in academia and industry.This publication gathers jointly all dependability benchmarks constructed up to now through and academia and explains some of the ideas and ideas of dependability benchmarking. It collects the specialist wisdom of DBench, a learn undertaking funded through the ecu Union, and the IFIP exact curiosity team on Dependability Benchmarking, to make clear this crucial sector. It additionally offers a wide landscape of examples and suggestions for outlining dependability benchmarks.Dependability Benchmarking for computers contains contributions from a reputable mixture of commercial and educational resources: IBM, Intel, Microsoft, solar Microsystems, severe software program, Carnegie Mellon college, LAAS-CNRS, Technical college of Valencia, collage of Coimbra, and college of Illinois. it's a useful source for engineers, researchers, method proprietors, procedure dealers, laptop experts, and process integrators.
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This should not be confused with the case in which the application is causing a queue overflow. DBMS and messaging server storage exhaustion This disturbance scenario represents the case in which the system runs out of disk space. It is intended to simulate the situation in which a certain process in the machine stops being a good citizen and abuses the disk quota. All the disk space of the drives containing the business data is taken up by the hog process. Network hog on HTTP, application, DBMS, and messaging servers This disturbance scenario represents the case in which the network link between two systems in the SUT is saturated with network traffic.
Making relatively reliable components more redundant does not significantly improve the score. The FRB-A benchmark also rewards systems that allow the operating system to continue without causing a reboot. In practice, this tends to reward designs in which the operating system and hardware design work together to improve robustness. The Maintenance Robustness Benchmark version A, MRB-A, is used to evaluate the effect of hardware maintenance activity from the perspective of an operating system platform.
Even if the throughput has returned to its predisturbance level, the state of the SUT is inferior to its original state since it would be unable to withstand a subsequent injection of the disturbance under study. ” We assign this score because the disturbance has no visible impact on the SUT, and, therefore, there is no need for the SUT to either detect or recover from the disturbance. However, this also means that systems that are immune to a particular disturbance by design will receive no credit in the maturity score.