InfoQ Homepage Concurrency Content on InfoQ
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Embracing Concurrency at Scale
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
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Concurrency in Android
G. Blake Meike discusses concurrency in Android, focusing on AsyncTask – what can be done with it, what problems using it and how to circumvent them.
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Functional Architecture
Phil Trelford suggests domains, such as modeling, DSLs, concurrency, for which functional programming is well-suited, and areas for which an OO or a mixed approach has better results.
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Erlang's Open Telecom Platform (OTP) Framework
Steve Vinoski introduces Erlang’s OTP Frmework, outlining some of its main features, including several behaviors – implementations of common patterns useful for concurrent fault-tolerant applications.
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Erlang for C# Developers
Bryan Hunter introduces Erlang, comparing various language features with C#’s, emphasizing what it is good for and doing a demo.
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Ozma: Extending Scala with Oz Concurrency
Peter Van Roy discusses solving concurrency issues with deterministic concurrency using Ozma, an extension of the Scala language employing the Oz deterministic dataflow concepts.
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Concurrent Programming Using The Disruptor
Trisha Gee introduces Disruptor, a concurrency framework based on a data structure – a ring buffer – that enables fast message passing in a parallel environment.
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Distributed Systems with ZeroMQ and gevent
Jeff Lindsay discusses creating distributed and concurrent systems using ZeroMQ – a lightweight message queue-, and gevent – a coroutine-based networking library.
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Objects, Anomalies, and Actors: The Next Revolution
Steve Vinoski believes that actor-oriented languages such as Erlang are better prepared for the challenges of the future: cloud, multicore, high availability and fault tolerance.
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Panel: Multicore, Manycore, and Cloud Computing
Joshua Bloch, Robert Bocchino, Sebastian Burckhardt, Hassan Chafi, Russ Cox, Benedict Gaster, Guy Steele, David Ungar, and Tucker Taft discuss the future of computing in a multicore world.
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The Sequential Prison
Ivan Sutherland elaborates on the idea of a “prison” defined by sequential computers that work with sequential character strings making communication expensive and obstructing concurrency.
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Akka: Reloaded
Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.
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