El estudio se organiza en capítulos que va desde cachés locales, clustering P2P, clustering Client-Server:
Contents
· Part 0: Introduction
o Part 0.2: Caches and Big Data.
· Part 1: Example Application
o Part 1.1: Brief introduction to the features of the User Event Cache.
o Part 1.2: REST interface exposed.
o Part 1.3: The common data types used.
o Part 1.4: Reference implementation with a ConcurrentHashMap.
· Part 2: Local caches with eviction
o Part 2.1: Introduction to JSR 107.
o Part 2.2: Local cache with Ehcache.
o Part 2.3: Local cache with Hazelcast.
o Part 2.4: Local cache with Infinispan.
· Part 3: Peer-to-peer clustering
o Part 3.1: Introduction to peer-to-peer architectures.
o Part 3.2: Peer-to-peer with Ehcache.
o Part 3.3: Peer-to-peer with Hazelcast.
o Part 3.4: Peer-to-peer with Infinispan.
· Part 4: Client-Server clustering
o Part 4.1: Introduction to client-server architectures.
o Part 4.2: Client-server with Ehcache.
o Part 4.3: Client-server with Hazelcast.
o Part 4.4: Client-server with Infinispan.
· Part 5: Advanced Topics
o Part 5.1 Second-level caches for databases.
· Summary
Tras el estudio los resultados se resumen en esta tabla:
Nota: las pruebas en el caso de Hazelcast están hechas con la versión 2 y recientemente se ha publicado la versión 3 de Hazelcast que incluye numerosas mejoras)



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