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View Code? Open in Web Editor NEWSparrow scheduling platform (U.C. Berkeley).
License: Apache License 2.0
Sparrow scheduling platform (U.C. Berkeley).
License: Apache License 2.0
speaks for itself.
Please add a LICENSE to this project. Perhaps the same as other AMPLab projects?
https://github.com/mesos/spark/blob/master/LICENSE
https://github.com/amplab/snap/blob/master/LICENSE
Change the simulation to use the same parameter framework as the deploy scripts, since that one is much more robust.
att. Thx~
Certain applications, such as Spark, rely on the scheduling framework to pass messages between worker tasks and the frontend. Sparrow should allow a generic message passing functionality allowing application backends to send messages to fronends and vice versa.
To inter-operate with existing Mesos-based applications (e.g. Spark), we want to create a back-end that looks like a Mesos slave.
The interface between these applications and Mesos on the backend side are the following classes:
https://github.com/apache/mesos/blob/trunk/src/java/src/org/apache/mesos/ExecutorDriver.java
https://github.com/apache/mesos/blob/trunk/src/java/src/org/apache/mesos/Executor.java
We want to create a subclass of ExecutorDriver that also acts as a Sparrow backend. This will both respond to function calls from the application and delegate function calls to the application (it will require a pointer to an Executor when instantiated).
The link in "To read more about Sparrow, check out our " seems to be broken.
http://delivery.acm.org/10.1145/2530000/2522716/p69-ousterhout.pdf
Right now we have a bunch of audit logging and debug logging that all gets spit out by default. We should make logging configurable via existing sparrow configuration and also mostly off by default.
Moving the various functions to run extensive simulations into individual files would make much more sense, and make the code easier to read.
Update the terminology used in the simulation to be consistent with terminology we now use in publications (so Server --> Slave and FrontEnd --> Scheduler).
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