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Oracle Solaris Cluster Overview
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Document Information

Preface

1.  Introduction to Oracle Solaris Cluster

2.  Key Concepts for Oracle Solaris Cluster

Clusters, Nodes, and Hosts

Zone Cluster

Features and Benefits of a Zone Cluster

Cluster Interconnect

Cluster Membership

Cluster Configuration Repository

Quorum Devices

Fault Monitors

Data Services Monitoring

Disk-Path Monitoring

IP Multipath Monitoring

Quorum Device Monitoring

Data Integrity

Split Brain and Amnesia

Fencing

Failfast

Shared Devices, Local Devices, and Device Groups

Shared Devices

How Oracle Solaris Cluster Uses Shared Devices

Device ID

Local Devices

Device Groups

Data Services

Description of a Resource Type

Description of a Resource

Description of a Resource Group

Data Service Types

Description of a Failover Data Service

Description of a Scalable Data Service

Description of a Parallel Application

System Resource Usage

System Resource Monitoring

CPU Control

Visualization of System Resource Usage

3.  Oracle Solaris Cluster Architecture

Index

Cluster Membership

The Cluster Membership Monitor (CMM) is a distributed set of agents that exchange messages over the cluster interconnect to complete the following tasks:

The main function of the CMM is to establish cluster membership, which requires a cluster-wide agreement on the set of nodes that participate in the cluster at any time. The CMM detects major cluster status changes on each node, such as loss of communication between one or more nodes. The CMM relies on the transport kernel module to generate heartbeats across the transport medium to other nodes in the cluster. When the CMM does not detect a heartbeat from a node within a defined timeout period, the CMM considers the node to have failed and the CMM initiates a cluster reconfiguration to renegotiate cluster membership.

To determine cluster membership and to ensure data integrity, the CMM performs the following tasks:

See Split Brain and Amnesia for more information about how the cluster protects itself from partitioning into multiple separate clusters.