64 packages returned for Tags:"failure-detector"

The Transient Fault Handling Application Block for Windows Azure ("Topaz") provides a set of reusable and testable components for adding retry logic into your Windows Azure applications leveraging Windows Azure SQL Database, Windows Azure storage, Service Bus and Caching Service. This makes your... More information
The Transient Fault Handling Application Block for Windows Azure ("Topaz") provides a set of reusable and testable components for adding retry logic into your Windows Azure applications leveraging Windows Azure SQL Database, Windows Azure storage, Service Bus and Caching Service. This makes your... More information
An implementation of the phi accrual failure detector: N. Hayashibara, X. Defago, R. Yared, and T. Katayama, The /spl phi/ accrual failure detector, Proc. 23rd IEEE Int. Symp. Reliab. Distrib. Syst. 2004., pp. 66-78, 2004.
The Transient Fault Handling Application Block for Windows Azure ("Topaz") provides a set of reusable and testable components for adding retry logic into your Windows Azure applications leveraging Windows Azure SQL Database, Windows Azure storage, Service Bus and Caching Service. This makes your... More information
Transient error detection strategies to use with Windows Azure Service Bus or the Service Bus for Windows Server, for the Transient Fault Handling Application Block ("Topaz").
The Signed variant of the Ude (C# port of Mozilla Universal Charset Detector) - http://code.google.com/p/ude/ Why not to use the nuget.org/packages/UDE.CSharp/ ? The library above is not signed and therefore we can't sign any other lib. Because the ~signed assemblies can't use the... More information
Transient error detection strategies to use with Windows Azure SQL Database, for the Transient Fault Handling Application Block ("Topaz"). This library contains a class library that targets .Net Core 2.0 & .Net Standard 2.0.
Implementation of Detector use case, if only one of the events is relevant.
Simple C# library to detect percentage of skin in image. It use opencv and OpenCVSharp to do this (CvAdaptiveSkinDetector).