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    <p>I like to use <code>scalaz.concurrent.Promise</code>. This example isn't exactly like the one in your question, but it gives you the idea.</p> <pre><code>object Async extends Application { import scalaz._ import Scalaz._ import concurrent._ import concurrent.strategy._ import java.util.concurrent.{ExecutorService, Executors} case class ResultA(resultb: ResultB, resulta: ResultC) case class ResultB() case class ResultC() run def run { implicit val executor: ExecutorService = Executors.newFixedThreadPool(8) import Executor.strategy val promiseA = doA println("waiting for results") val a: ResultA = promiseA.get println("got " + a) executor.shutdown } def doA(implicit s: Strategy[Unit]): Promise[ResultA] = { println("triggered A") val b = doB val c = doC for {bb &lt;- b; cc &lt;- c} yield ResultA(bb, cc) } def doB(implicit s: Strategy[Unit]): Promise[ResultB] = { println("triggered B") promise { Thread.sleep(1000); println("returning B"); ResultB() } } def doC(implicit s: Strategy[Unit]): Promise[ResultC] = { println("triggered C") promise { Thread.sleep(1000); println("returning C"); ResultC() } } } </code></pre> <p>Output:</p> <pre><code>triggered A triggered B triggered C waiting for results returning B returning C got ResultA(ResultB(),ResultC()) </code></pre> <p>You'll find an introduction to <a href="http://code.google.com/p/scalaz/" rel="nofollow noreferrer">Scalaz</a> concurrency in this <a href="http://twitter.com/runarorama/status/8573543228" rel="nofollow noreferrer">presentation</a> from Runar.</p> <p>This approach isn't as flexible as Actors, but composes better and can't deadlock.</p>
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    1. POHow to split and dispatch an async control-flow using Continuations?
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    1. CONice Scalaz Promise-Example, thank you. However I want to get a deeper understanding of the new Scala2.8-CPS thing and would appreciate a CPS-specific answer.
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    2. CO+1 for mentioning the advantages of Futures over Actors, and the use of implicit vals for defining the strategies.
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