Sourabh dragneelfps

Terminology, Concepts

In this chapter we attempt to establish a common terminology to define a solid ground for communicating about concurrent, distributed systems which Akka targets. Please note that, for many of these terms, there is no single agreed definition. We seek to give working definitions that will be used in the scope of the Akka documentation.

Concurrency vs. Parallelism

Concurrency and parallelism are related concepts, but there are small differences. Concurrency means that two or more tasks are making progress even though they might not be executing simultaneously. This can for example be realized with

	class Trie() {

	private data class Node(val children: MutableList<Node?> = MutableList(26) { null }, var leaf: Boolean = false)

	private val root = Node()

	/** Inserts a word into the trie. */
	fun insert(word: String) {
	var curr = root
	for(ch in word) {

	fun profileAwareConfig(): Config {
	val logger = LoggerFactory.getLogger("ProfileAwareConfig")
	val profiles = (System.getProperty("ktor.active.profiles") ?: "").split(",")

	val combinedConfig = profiles.fold(ConfigFactory.defaultApplication()) { config, profile ->
	val profileConfig = ConfigFactory.parseResourcesAnySyntax("application-$profile")
	profileConfig.withFallback(config)
	}

	if (logger.isDebugEnabled) {