InfoQ Homepage Virtual Machines Content on InfoQ
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Big Data, Small Computers
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains how a garbage collector works, covering the fundamentals, mechanism, terminology and metrics. He classifies several GCs, and introduces Azul C4.
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Pushing The Limits of Web Browsers … or Why Speed Matters
Lars Bak presents several language virtual machines (Self, Strongtalk, Hotspot), why they matter and how they influenced V8 and Dart. His talk is centered on performance.
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What Are Clouds Made Of?
John Garbutt discusses the components used for building a cloud, comparing different cloud offerings existing on the market.
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Virtual Machines with Sharable Operation System
Hoi Chan discusses attaining efficiency in cloud computing by streaming and multiplexing VMs, sharing storage, along with safety analysis for efficient patching.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi shares lessons learned tuning the JVM at Twitter, spending most of his talk discussing memory tuning, CPU usage tuning, and lock contention tuning.
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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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Java.next
Erik Onnen attempts to demonstrate that Java is still the best programming language for the JVM if simplified idioms are used along with proper tooling.
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Scalaz: Functional Programming in Scala
Rúnar Bjarnason discusses Scalaz, a Scala library of pure data structures, type classes, highly generalized functions, and concurrency abstractions to perform functional programming in Scala.
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Event-Driven Programming in Clojure
Zach Tellman explains how to deal with asynchronous programming difficulties in Clojure using an event-driven data structure.
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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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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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