All content with label core-concept.
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Automatically manage dynamic cluster membership (Coherence 3.4 User Guide) Coherence manages cluster membership, automatically adding new servers to the cluster when they start up and automatically detecting their departure when they are shut down or fail. Applications have full access to this information, and can sign up to receive event notifications ...

Best Practices (Coherence 3.4 User Guide) Coherence supports several cache topologies. This section contains the following information: Coherence and Cache Topologies Coherence supports several cache topologies, but the replicated, partitioned, and near options will satisfy the vast majority of use cases. All are fully coherent and support ...

Clustering (Coherence 3.4 User Guide) Coherence is built on a fully clustered architecture. Since "clustered" is an overused term in the industry, it is worth stating exactly what it means to say that Coherence is clustered. Coherence is based on a peertopeer clustering protocol, using a conference room model, in which servers ...

Cluster Services Overview (Coherence 3.4 User Guide) Coherence functionality is based on the concept of cluster services. Each cluster node can participate in (which implies both the ability to provide and to consume) any number of named services. These named services may already exist, which is to say that they may already ...

Cluster your objects and your data (Coherence 3.4 User Guide) Coherence is an essential ingredient for building reliable, highscale clustered applications. The term clustering refers to the use of more than one server to run an application, usually for reliability and scalability purposes. Coherence provides all of the necessary capabilities for applications ...

Coherence Caching Terminology (Coherence 3.4 User Guide) several terms which are used to describe the ability of multiple servers to work together to handle additional load or to survive the failure of a particular server. Basic terms Failover Failover refers to the ability of a server to assume the responsibilities of a failed server. For example, "When ...

Defining a Data Grid (Coherence 3.4 User Guide) Oracle Coherence http://www.oracle.com/products/middleware/coherence/index.html InMemory Data Grid is a data management system for application objects that are shared across multiple servers, require low response time, very high throughput, predictable scalability, continuous ...

Deliver events for changes as they occur (Coherence 3.4 User Guide) Coherence provides cache events using the JavaBean Event model. It is extremely simple to receive the events that you need, where you need them, regardless of where the changes are actually occurring in the cluster. Developers with any experience with the JavaBean model will have ...

Local Cache (Coherence 3.4 User Guide) While it is not a clustered service, the Coherence local cache implementation is often used in combination with various Coherence clustered cache services. The Coherence local cache is just that: a cache that is local to (completely contained within) a particular cluster node. There are several attributes of the local ...

Local Storage (Coherence 3.4 User Guide) Coherence architecture is modular, allowing almost any piece to be extended or even replaced with a custom implementation. One of the responsibilities of the Coherence system that is completely configurable, extendable and replaceable is local storage. Local storage refers to the data structures that actually store or cache ...