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| author | cnnrznn <cnnrznn@gmail.com> | 2016-12-06 14:51:02 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-12-06 14:51:02 -0500 |
| commit | f34fe47ae54d8790961d12d571df719bb1535b2d (patch) | |
| tree | c9dd06550c34869518054f4802475d38923357dd /chapter/4 | |
| parent | 5adc3c9e9bf6998658240b6849ffac281e39199f (diff) | |
Update dist-langs.md
Diffstat (limited to 'chapter/4')
| -rw-r--r-- | chapter/4/dist-langs.md | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/chapter/4/dist-langs.md b/chapter/4/dist-langs.md index 5bfea62..7b1412b 100644 --- a/chapter/4/dist-langs.md +++ b/chapter/4/dist-langs.md @@ -4,6 +4,13 @@ title: "Distributed Programming Languages" by: "A Systems Person" --- +### Problems of Distributed Programming + +* Partial failure +* Consistency +* Efficiency +* Scallability + ### Three major approaches to distributed languages: #### Shared Memory @@ -40,6 +47,15 @@ Some languages that use this model are: * MapReduce (Spark, Hadoop, etc.) * Orleans (Wait, what??) +#### Which is best? Why? + +Why is MR all-the-rage? + +* Dataflow / MapReduce fundamentally changed the programming style for distributed systems +* Other models (Actor, DSM) tried to mask distribution +* By changing the style, programs need necessarily consider communication patterns (disk, network) +* Although, system may still handle fault tolerance + ### Why GPL's not DSL's? * problem of domain-composition |