El Croquis, Issue 162: RCR Arquitectes, 2007-2012, Poetic

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Different distribution topologies and strategies are available for this purpose. A data grid can be divided into separate sub-caches, which allows for the use of more effective access mechanisms involving pre-filtering. The distribution of the data across different physical nodes guarantees the long-term availability and integrity of the data, even if individual nodes fail. Automatic failover behavior and load balancing functionality are part of the grid infrastructure. Transaction security is also guaranteed throughout the entire grid.

Business Process Execution Language (BPEL) processes are distributed in serialized form (hydration) throughout the cluster, and can be processed further on another server following de-serialization (dehydration). This results in highly scalable BPEL processes. [ 55 ] Basic Principles • Data access virtualization: Grids allow virtualized access to distributed information in a cluster. As already mentioned, the location of the data is transparent during the access, regardless of the size of the cluster, which can also change dynamically.

Predefined agents are often provided with particular products. Execution patterns Let's take a brief look at these execution patterns: • Targeted execution: Agents can be executed on one specific set of information in the data grid. The information set is identified using a unique key. It is the responsibility of the grid infrastructure to identify the best location in the cluster for the execution, on the basis of the runtime data available (for example, load ratios, node usage, network loads).

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