Cluster Administration
Cluster Administration Consulting Services
The Microsoft
Cluster Administrator is an application for
configuring, controlling, and monitoring the Cluster. Cluster
Administrator provides information about cluster groups and resources.
Administrators can use Cluster Administrator to create cluster groups,
create virtual servers, create file share resources, manage cluster
objects (including performing a manual failover), and monitor cluster
activity. A default cluster group is automatically created when the
cluster is first created. This default cluster group contains an
Internet Protocol (IP) Address resource, a Network Name resource, and
the Quorum Disk resource. When the new cluster is created, the (IP)
address and the cluster name that were specified during setup are set up
as the IP address and network name of this default cluster group.
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Cluster Administration
Cluster Administrator
Cluster Administrator allows administrators to manage cluster
objects, establish
groups, initiate
failover, handle maintenance, and monitor cluster activity
through a convenient graphical interface. Third-party developers can
extend the functionality of Cluster Administrator by implementing
extension DLLs. When you use Cluster Administrator to create a new
File Share resource, permissions for the Everyone group for that file
share are set to read-only by default. You can change the default
permissions by modifying the
Security Property for File Shares.
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Cluster Administrator
Who uses clustering?
Many different types of organizations use
clustering as a vital
part of the work. A sampling of these include:
-
Marketing:
finding groups of customers with similar behavior given a large
database of customer data containing their properties and past
buying records;
-
Biology:
classification of plants and animals given their features;
-
Libraries:
book ordering;
-
Insurance:
identifying groups of motor insurance policy holders with a high
average claim cost; identifying frauds;
-
City-planning:
identifying groups of houses according to their house type,
value and geographical location;
-
Earthquake
studies: clustering observed earthquake epicenters to
identify dangerous zones;
-
WWW:
document classification; clustering weblog data to discover
groups of similar access patterns.
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Who Uses Clustering
