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Data Replication –Data Replication –
Synchronization ToolsSynchronization Tools
Pradeeban KathiraveluPradeeban Kathiravelu
IST – ULisboa / INESC-IDIST – ULisboa / INESC-ID
2
Agenda
 Background and Assumptions
 Front-end
 Back-end
 Design Alternatives
 Design Choice
 Good to have
3
Background
 TCIA MySQL database is the data source.
 Users are downloading “series” or data of
higher granularity.
 Collection
– Patients ← same patient
• Studies ← meta data
– Series ← meta data
» Images ← raw file
4
Initial Assumptions
 The existing download manager may be used
in the client side.
5
Front-End
6
Front-End
 User logs in
– Clicks the “Download Updates” option.
7
(browser)
Front-end / Back-end
8
Front-end / Back-end
 CXF/JAX-RS RESTful APIs.
– GET
– Follow the existing REST APIs in downloading.
9
Back-end
 A Pub-Sub Solution
– Update subscriptions for new downloads.
– Publish and store the new updates for the
subscribers
• Till they log in again.
 Database integration and query management
– TCIA data store is a MySQL database.
10
Back-end: Alternatives
 The Pub-Sub solution
– CXF/JMS Transport [1]
– With Hazelcast [2]
 Database integration and query management
– Hazelcast distributed queries
– Using CXF
– [1] https://cxf.apache.org/docs/jms-transport.html
– [2] http://java.dzone.com/articles/publish-and-subscribe
11
Combinations
 Entirely Hazelcast
– Except for CXF/JAX-RS RESTful invocations
 Entirely CXF
– With CXF/JMS for Pub/Sub
 CXF and Hazelcast
– CXF/JAX-RS and CXF/JMS
– Hazelcast distributed queries
– Apache Camel for integration
– Way too many components (?)
12
Design Choice
 Entirely Hazelcast
– With CXF/JAX-RS RESTful invocations.
13
Why?
 Simplicity
– Pub-Sub and query management - both handled
by Hazelcast.
– Pub-Sub query updates could be stored
seamlessly in-memory and in database.
14
Good to have
 Develop into OSGi bundles to plug into
Bindaas.
15
Thank you..Thank you..

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