1. Introduction to Oracle Solaris Cluster
2. Key Concepts for Oracle Solaris Cluster
Features and Benefits of a Zone Cluster
Cluster Configuration Repository
Shared Devices, Local Devices, and Device Groups
How Oracle Solaris Cluster Uses Shared Devices
Description of a Resource Type
Description of a Resource Group
Description of a Failover Data Service
Description of a Scalable Data Service
Description of a Parallel Application
Visualization of System Resource Usage
The Cluster Membership Monitor (CMM) is a distributed set of agents that exchange messages over the cluster interconnect to complete the following tasks:
Enforcing a consistent membership view on all nodes (quorum)
Driving synchronized reconfiguration in response to membership changes
Handling cluster partitioning
Ensuring full connectivity among all cluster members by leaving unhealthy nodes out of the cluster until they are repaired
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:
Accounting for a change in cluster membership, such as a node's joining or leaving the cluster
Ensuring that an unhealthy node leaves the cluster
Ensuring that an unhealthy node remains inactive until it is repaired
Preventing the cluster from partitioning itself into subsets of nodes
See Split Brain and Amnesia for more information about how the cluster protects itself from partitioning into multiple separate clusters.