InfoQ Homepage Concurrency Content on InfoQ
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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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Eventually Consistent HTTP with Statebox and Riak
Bob Ippolito explains how to solve concurrent update conflicts with Statebox, an open source library for automatic conflict resolution, running on top of Riak.
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LMAX Disruptor: 100K TPS at Less than 1ms Latency
Dave Farley and Martin Thompson discuss solutions for doing low-latency high throughput transactions based on the Disruptor concurrency pattern.
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Actor Interaction Patterns
Dale Schumacher presents several patterns of actor interaction that can be used in collaborative programs written in any language.
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Concurrent Caching at Google
Charles Fry presents MapMaker, an in-memory caching solution on the JVM, discussing its API and implementation evolution along with internal details.
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Distributed STM - A New Programming Model for the Cloud
Cyprien Noel discusses distributed transactional memories along with ObjectFabric, a Java server based on eXtensible Software Transactional Memory, an OS library for concurrent and distributed apps.
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