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This technical white paper describes SQL Server 2008 failover clustering architecture, installation, maintenance, troubleshooting, and management for mission-critical applications, focusing on high availability and uptime.
Year:
2009
Region / city:
Worldwide
Topic:
SQL Server 2008 Failover Clustering
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Mike Weiner, Paul Burpo, Max Verun, Joseph Sack, Justin Erickson
Contributors:
Sanjay Mishra, Jason Wu, Uttam Parui
Target Audience:
Technical professionals
Period of validity:
N/A
Approval Date:
June 2009
Revision Date:
May 2013
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2007
Note:
Region / City
Topic:
Failover Clustering, Server Management
Document Type:
Technical Overview
Organization / Institution:
Microsoft
Target Audience:
IT Professionals, System Administrators
Year:
2012
Note:
Region / City
Topic:
High Availability, Disaster Recovery
Document Type:
Technical Article
Author:
Joseph Sack, Sanjay Mishra
Target Audience:
Operational SQL Server database administrators, technology architects, system administrators
Copyright:
© 2012 Microsoft. All rights reserved.
Year:
2012
Publisher:
OSIsoft, LLC
Address:
777 Davis St., Suite 250, San Leandro, CA 94577, USA
Regions:
USA, Australia, Germany, Singapore, Canada, China, Japan, Mexico, Brazil
Document Type:
Technical manual
Subject:
OPC DA Interface, Failover Configuration, Redundancy
Version:
2.3.14.0–2.3.20.x
Copyright:
© 2002-2012 OSIsoft, LLC
Languages:
English
Intended Audience:
Engineers, System Administrators, Technical Specialists
Publication Date:
06/2012
Technical Requirements:
Microsoft Cluster (for interface-level failover), PI Systems version 3.3 or higher
Year:
2010
Region / city:
Worldwide
Topic:
Failover Clustering, Active Directory Certificate Services
Document Type:
Technical Guide
Organization / Institution:
Microsoft Corporation
Author:
Carsten B. Kinder, Mark B. Cooper
Target Audience:
IT professionals, system administrators
Period of validity:
Ongoing
Approval Date:
January 2010
Date of Changes:
Not specified
Version:
1.0
Author:
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Author Email:
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Date:
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Features Count:
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Sample Rows Count:
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Selected Algorithm:
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Backend:
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Project Link:
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Output File:
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DSS Version:
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Environment:
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Training Date:
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Year:
2007
Note:
Region / City
Topic:
Failover Clustering, Server Management
Document Type:
Technical Overview
Organization / Institution:
Microsoft
Target Audience:
IT Professionals, System Administrators
Year:
2011
Region / City:
Not specified
Topic:
Hierarchical Clustering, PCMH Recognition
Document Type:
Technical Appendix
Organization:
Not specified
Author:
Not specified
Target Audience:
Researchers, policymakers, healthcare professionals
Period of validity:
Not specified
Date of approval:
Not specified
Date of modifications:
Not specified
Year:
2010
Region / city:
Worldwide
Topic:
Failover Clustering, Active Directory Certificate Services
Document Type:
Technical Guide
Organization / Institution:
Microsoft Corporation
Author:
Carsten B. Kinder, Mark B. Cooper
Target Audience:
IT professionals, system administrators
Period of validity:
Ongoing
Approval Date:
January 2010
Date of Changes:
Not specified
Year:
2017
Region / city:
United Kingdom
Topic:
Bitcoin; Price Clustering; Cryptocurrency
Document type:
Research Paper
Institution:
University of Southampton
Author:
Dr Andrew Urquhart
Target audience:
Academics, Investors, Researchers
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Source:
TCGA cancer cohort
Section:
Supplementary Materials
Content:
Supplementary figures and table
Methods:
Consensus clustering, pathway enrichment analysis, LASSO regression analysis
Molecular focus:
m6A-related lncRNAs
Number of interactions identified:
625
Number of m6A-related lncRNAs identified:
491
Data description:
Correlation coefficients, p-values, and regulation direction between m6A regulators and lncRNAs
Statistical parameters:
Correlation (cor), p-value, positive and negative regulation
Research field:
Cancer genomics
Type of material:
Supplementary figures and data table
Year:
2023
Region / city:
Not specified
Topic:
Chronic kidney disease, Genetic and phenotypic analysis
Document type:
Research paper
Institution / organization:
Not specified
Author:
Not specified
Target audience:
Researchers, healthcare professionals, geneticists
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Year:
2026
Field:
Genomics, Virology, Bioinformatics
Document type:
Supplementary material / research data
Authors:
Rui Dong, Lily He, Rong Lucy He, Stephen S.-T. Yau
Institution:
University of Illinois at Chicago
Target audience:
Researchers in virology and computational biology
Data sources:
GenBank
Organisms:
Coronaviruses, Influenza A viruses, Ebolaviruses
Sequence type:
Complete genomes
Number of sequences:
146
Tables included:
S1, S2, S3
Date published:
2026
Correspondence:
Prof. Stephen S.-T. Yau, [email protected]
Description:
Supplementary dataset presenting GenBank accession numbers, genome lengths, and classifications for 36 coronaviruses, 38 influenza A viruses, and 72 ebolaviruses, supporting a study on nucleotide covariance clustering.
Year:
2026
Region:
Coastal Japan
Topic:
Geophysical fluid dynamics, extreme events
Document type:
Research article
Institution:
Meteorological Research Institute, Japan Meteorological Agency; Graduate School of Science, Kyoto University
Authors:
Kunihiro Aoki, Hideyuki Nakano, Nariaki Hirose, Norihisa Usui, Kei Sakamoto, Takahiro Toyoda, Shogo Urakawa, Yuma Kawakami
Target audience:
Atmospheric and oceanic scientists, data scientists
Methodology:
Variational autoencoder with principal-component-scaled augmentation
Data scope:
Approximately 150 samples of coastal ocean velocity fields during Kyucho events
Results:
Identification of four distinct circulation modes
Application period:
Kyucho event study period
Abstract type:
Clustering and pattern analysis in small-sample geophysical datasets
Journal context:
Geophysical research, extreme event prediction
Course:
COSC 4335
Institution:
University-level computer science course
Instructor:
Dr. Eick
Document Type:
Course assignment
Subject Area:
Data Mining and Clustering Algorithms
Algorithms Covered:
K-means, DBSCAN
Programming Language:
R
Datasets:
Complex8 dataset; HAbalone dataset (modified Abalone dataset)
Original Dataset Source:
UCI Machine Learning Repository Abalone Dataset
Project Type:
Individual project
Learning Objectives:
Clustering analysis, interpretation of clustering results, R function development, unsupervised data mining analysis, use of background knowledge in data mining
Assignment Tasks:
Dataset transformation; implementation of purity evaluation function; clustering analysis with K-means and DBSCAN
Submission Deadline:
March 18, 2015, 11p (early submission bonus)
Final Deadline:
March 24, 2015, 11p
Document Version:
Fourth Draft
Last Updated:
Feb. 16, 2015, 2:30p
Year:
2026
Region / Institution:
Not specified
Topic:
Single-cell clustering methods
Document type:
Supplemental Material / Research Comparison
Author:
Not explicitly stated
Dataset:
Normalized single-cell dataset including CD19+ CD3- B cells
Methods compared:
PICAFlow, FlowSOM, PhenoGraph
Cell populations analyzed:
Lymphocyte-shaped single cells
Metrics evaluated:
Number of clusters, cluster abundance, marker positivity accuracy
Figures included:
S1A, S1B, S1C, S1D, S1E
Statistical analysis:
One-sample signed-rank Wilcoxon tests
Key observations:
PICAFlow identifies major clusters efficiently, merges rare populations, produces higher median abundance clusters, maintains closer accuracy to manual gating for most markers
Year:
2012
Region / City:
N/A
Topic:
Data Warehouse Architecture
Document Type:
Technical Article
Organization / Institution:
Microsoft
Authors:
Eric Kraemer, Mike Bassett, Eric Lemoine, Dave Withers
Target Audience:
IT planners, architects, DBAs, business intelligence users
Period of validity:
N/A
Approval Date:
March 2012
Date of Changes:
N/A
Year:
2013
Region / City:
Global
Topic:
SQL Server, Plan Caching, Recompilation
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Greg Low, SQL Down Under
Target Audience:
SQL Server developers, database administrators, and those migrating to SQL Server 2012
Period of Application:
SQL Server 2012
Approval Date:
March 2013
Date of Changes:
Not specified
Note:
Year
Topic:
SQL Server, Availability Groups, Listener Configuration
Document Type:
Technical Guide
Target Audience:
Database Administrators, IT Professionals
Keywords:
SQL Server, Always On, Listener, Availability Group, Failover, Read-Only Routing
Product:
SQL Account
Document type:
Software release notes
Versions covered:
5.2025.1058.890–5.2026.1064.891
Release dates:
November 21, 2025 – January 5, 2026
Database versions:
220, 221
Main components:
Database, AI Easyscan, MyInvois (E-Invoice MY), InvoiceNow (Peppol SG), Ecommerce, Mobile Connect, Fixed Asset, Approval, Reporting
Regions referenced:
Singapore, Malaysia
Standards referenced:
Peppol, UUID, GST-SG, E-Invoice MY
Issuing organization:
SQL Account
Year:
2011
Note:
Region / City
Topic:
SQL Server, Database Mirroring, Transactional Replication
Document Type:
White Paper
Organization / Institution:
Microsoft Corporation
Author:
Gopal Ashok, Paul S. Randal
Target Audience:
Database Administrators, SQL Server professionals