Copyright © 2014–2015 Russel Winder 1 GPars Remoting Dr Russel Winder [email protected] @russel_winder http://www.russel.org.uk
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Copyright © 2014–2015 Russel Winder 1
GPars Remoting
Dr Russel [email protected]
@russel_winderhttp://www.russel.org.uk
Copyright © 2014–2015 Russel Winder 2
This is a sales pitch…
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This is a sales pitch…✘
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This is breaking news…
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This is breaking news…✘
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It's new…
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It's new…✘
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It's improved…
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It's improved…✔
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It's…
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Thanks to GSoC 2014,
Rafał Sławik
built on a partial implementation by
Alex Tkachman.
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Remote Objects
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GPars already has single JVM
concurrency and parallelism.
You can use it from Javaas well as Groovy.
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GPars now has remote objects.
Realized by using Netty.
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ActorsIndependent processes communicating via asynchronous exchange of messages.
DataflowOperators connected by channels with activity triggered by arrival of data on the channels.
Data ParallelismTransform a sequence to another sequence where all individual actions happen at the same time.
CSPOperators connected by channels with activity triggered by arrival of data on the channels.
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Active ObjectsAn object that is actually an actor but looks like a full service object.
AgentsA wrapper for some shared mutable state.
Software Transactional MemoryWrappers for mutable values that uses transactions rather than locks.
Fork/JoinAn toolkit for tree structured concurrency and parallelism.
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ActorsIndependent processes communicating via asynchronous exchange of messages.
DataflowOperators connected by channels with activity triggered by arrival of data on the channels.
Data ParallelismTransform a sequence to another sequence where all individual actions happen at the same time.
CSPOperators connected by channels with activity triggered by arrival of data on the channels.
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Data ParallelismTransform a sequence to another sequence where all individual actions happen at the same time.
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DataflowOperators connected by channels with activity triggered by arrival of data on the channels.
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Code
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CSPSequential processes communicating by sending messages on channels.
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ActorsIndependent processes communicating via asynchronous exchange of messages.
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Code
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ActorsIndependent processes communicating via asynchronous exchange of messages.
DataflowOperators connected by channels with activity triggered by arrival of data on the channels.
Data ParallelismTransform a sequence to another sequence where all individual actions happen at the same time.
CSPOperators connected by channels with activity triggered by arrival of data on the channels.
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But isn't this just clustering, and
isn't this standard stuff?
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Elephant in the Room…
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Hadoop
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GPars can compete in
“Big Data”, but will it?
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Service Oriented Architecture
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Services
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Micro-Services
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Micro-Services
Passé
✘
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Pico-Services
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No need for HTTP, Web,
port 80, HTML, CSS…
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ActorsActive ObjectsAgentsDataflow Operators
LocalRemote
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NUMA
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Non-Uniform Memory Architecture
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Local concurrency/parallelism
Remote concurrency/parallelism
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A fun demo…
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GPars Remoting
Dr Russel [email protected]
@russel_winderhttp://www.russel.org.uk
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