By Karama Kanoun, Lisa Spainhower
A accomplished choice of benchmarks for measuring dependability in hardware-software systemsAs desktops became extra complicated and mission-critical, it's significant for structures engineers and researchers to have metrics for a system's dependability, reliability, availability, and serviceability. Dependability benchmarks are important for directing improvement efforts for process prone, acquisition offerings of approach buyers, and reviews of latest suggestions by way of researchers in academia and industry.This ebook gathers jointly all dependability benchmarks built to this point by way of and academia and explains many of the ideas and ideas of dependability benchmarking. It collects the specialist wisdom of DBench, a study undertaking funded via the ecu Union, and the IFIP designated curiosity team on Dependability Benchmarking, to make clear this significant 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 business and educational resources: IBM, Intel, Microsoft, solar Microsystems, severe software program, Carnegie Mellon college, LAAS-CNRS, Technical college of Valencia, college of Coimbra, and college of Illinois. it really is a useful source for engineers, researchers, procedure owners, procedure buyers, laptop experts, and approach integrators.
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Extra resources for Dependability benchmarking for computer systems
Thus far, we have defined only the general-purpose operating system. Virtual machines are a subset of the operating system as they do not represent an end-user service. Hardware. This refers to the hardware platform and its bootstrap support. The context of the recovery—the state that represents the system providing a service— is determined by the layer on the system stack targeted for measurement. More succinctly, a specific SRB benchmark will be defined that targets measurements of a specific layer in the stack.
It is expected that FRB-A scores near the theoretical maximum can only be achieved by fully fault-tolerant systems. Similarly, to build a system with no fault robustness is also unusual in the enterprise-server market. Robustness techniques such as error-correcting codes (ECC) for main memory are rewarded by the FRB-A benchmark and are standard for enterprise-class servers. The MRB-A score shows the benefit of the E25K server design using hot pluggable components and dynamic reconfiguration. Components that are hot pluggable and dynamically reconfigurable are of the nondisruptive maintenance class.
11:12 AM Page 27 27 ROBUSTNESS BENCHMARKS ence has shown that many computer systems designed for a particular market tend to score in a narrow range and this spreading technique more clearly exposes their differences. The benchmarks could be extended to include additional scalar weight values in the future. Given the above failure effect classification, each component is assigned two scores: FRi, which represents the scalar weight value for fault robustness for component i, and MRi, which represents the scalar weight value for maintenance robustness for component i.
Dependability benchmarking for computer systems by Karama Kanoun, Lisa Spainhower