Difference between revisions of "Load balancing"
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= Poposed configuration = | = Poposed configuration = | ||
− | Database: the database is shared among all nodes. It could be a clustered database. | + | *Load balancing: hardware balancer |
− | Filesystem: we will use a shared filesystem common to all nodes. We can use the multiple volumes and/or dedicated NAS. | + | *Database: the database is shared among all nodes. It could be a clustered database. |
− | Application Server: each node is a single LogicalDOC instance with its own full-text engine | + | *Filesystem: we will use a shared filesystem common to all nodes. We can use the multiple volumes and/or dedicated NAS. |
+ | *Application Server: each node is a single LogicalDOC instance with its own full-text engine | ||
+ | <br> | ||
<br> | <br> | ||
[[File:clustering1.jpg]] | [[File:clustering1.jpg]] |
Latest revision as of 14:59, 2 March 2012
Load Balancing with LogicalDOC
The purpose of this configuration is to maximize the performances distributing the CPU and RAM loads among a set of nodes called a cluster.
The most part of the stress in a large installation is due to the operations of parsing, indexing and search. So care must be taken in the full-text engine.
We will use the following technologies:
- JGroups to cluster LogicalDOC instances
- Solr as indexing and search engine
Poposed configuration
- Load balancing: hardware balancer
- Database: the database is shared among all nodes. It could be a clustered database.
- Filesystem: we will use a shared filesystem common to all nodes. We can use the multiple volumes and/or dedicated NAS.
- Application Server: each node is a single LogicalDOC instance with its own full-text engine