Applied architecture patterns on the Microsoft platform : an by Richard Seroter; Ofer Ashkenazi; et al

By Richard Seroter; Ofer Ashkenazi; et al

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By Richard Seroter; Ofer Ashkenazi; et al

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Internally, the cache cluster design uses a partitioned hashing algorithm by which various cached items are partitioned based on the "key" and stored on separate cache servers. The mapping information between the key and the actual cache servers containing the "value" is maintained in a routing table that is available to the cache client at connection time. When an item needs to be retrieved, cache clients hash the key value, look up the routing table, and contact the particular cache server. High Availability (HA) is provided as a configuration knob, where a secondary replica will be stored in another cache server.

Given that this session data does not need persistence but needs to be highly available, it can be stored in the cache cluster with HA enabled. Additionally, as the session data is now in a central cache cluster, users can connect to any web server (cache client) and have access to the session data. Thus, this avoids any sticky routing issues (a requirement to connect to the same web server where the session state is maintained). [ 45 ] Windows Server AppFabric Primer One key benefit when using the distributed cache is being able to scale across several cache server nodes.

Limited impact on budget as introduction of this technology can be built upon existing environments This relates to the prior criteria. The cost of software that underlies a solution is frequently a factor in product selection and ideally we can share existing infrastructure. Complies with "buy vs. build" strategy of the organization If you have an expert staff of developers on site and frequently find yourself customizing packaged products, then your organization may prefer building solutions vs.

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