How Coherence Works

How Coherence Works

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Distributed Data Management (access)

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The Partitioned Topology

(one of many)

In-Process DataManagement

Distributed Data Management (update)

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Distributed Data Management (failover)

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Distributed Data Management

• Members have logical access to all Entries

• At most 2 network operations for Access

• At most 4 network operations for Update

• Regardless of Cluster Size

• Deterministic access and update behaviour

(performance can be improved with local caching)

• Predictable Scalability

• Cache Capacity Increases with Cluster Size

• Coherence Load-Balances Partitions across Cluster

• Point-to-Point Communication (peer to peer)

• No multicast required (sometimes not allowed)

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Data Distribution: Clients and Servers

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“Clients” with storage disabled

“Servers” with storage enabled

Near Caching (L1 + L2) Topology

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Observing Data Changes

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Parallel Queries

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Parallel Processing and Aggregation

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Data Source Integration (read-through)

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Data Source Integration (write-through)

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Data Source Integration (write-behind)

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