Scaling Out Tier Based Applications

Oct 16, 200714 likes1,231 views

The document discusses scaling tier-based applications using Space Based Architecture (SBA). SBA uses a common data and processing grid to virtualize tiers, enabling applications to scale out processing across commodity hardware. This approach parallelizes transactions, reduces serialization overhead between tiers, and allows dynamic scalability through automated deployment of services on a grid. The session will provide examples of how financial and telecom applications achieve scalability using SBA.

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Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.

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