When will a server fail catastrophically in an industrial datacenter? Is it possible to forecast these failures so preventive actions can be taken to increase the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than 104 million events from 12,500 machines. Among these samples, we observe...

In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algorithms for calculating photometric redshifts (photo-z) very large samples galaxies are needed. Correct estimation various photo-z algorithms' performance requires attention both metrics data used estimation. this work, we use supervised machine learning algorithm MLPQNA calculate in COSMOS2015 cata...

On Service-Oriented Architectures (SOAs), the mechanism for run-time discovery and selection of services may conflict with the need to make sure that business process instances satisfy their reliability requirements. In this paper we describe a certification scheme based on machine-readable reliability certificates that will enable run-time negotiation. Service reliability is afforded by means ...

Although machine learning algorithms have been successfully used in many problems, and are emerging as valuable data analysis tools, their serious practical use is affected by the fact that often they cannot produce reliable and unbiased assessments of their predictions’ quality. There exist several approaches for estimating reliability or confidence for individual classifications, and many of ...

This article deals with aspects of accuracy of machine tools and quality of products. As there is a big influence of accuracy of individual components of machine tools on quality of product, it is very important to know all aspects and influences of technological system on final precision of product. Several aspects of diagnostics of machine tools are described, such as aspects of reliability.