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| -rw-r--r-- | chapter/4/dist-langs.md | 25 |
1 files changed, 20 insertions, 5 deletions
diff --git a/chapter/4/dist-langs.md b/chapter/4/dist-langs.md index 199ab6a..5bfea62 100644 --- a/chapter/4/dist-langs.md +++ b/chapter/4/dist-langs.md @@ -3,19 +3,33 @@ layout: page title: "Distributed Programming Languages" by: "A Systems Person" --- -## Outline -* +### Three major approaches to distributed languages: -### Two major major, orthogonal approaches to distributed languages: +#### Shared Memory + +What is it? + +Some examples: + +* Linda +* Orca + +Tries to make many machines look like a single machine. +This is hard because of consistency and partitioning. +The logic of the program is simple, but requiring that the system handle shared memory opens up many opportunities for performance bugs. #### Actor / Object model -The actor model has its roots in procedural programming. -This model maps in a straighforward way to a distributed environment. +The actor model has its roots in procedural and object oriented programming. +Communication through RPC or message-passing. +Actors/Objects are location agnostic, because state is not shared. +The system can decide how to most efficiently place actors. * Erlang * Cloud Haskell (I know, right? Why?) +* Emerald +* Argus #### Dataflow model (static and stream) @@ -24,6 +38,7 @@ Some languages that use this model are: * Multilisp * MapReduce (Spark, Hadoop, etc.) +* Orleans (Wait, what??) ### Why GPL's not DSL's? |