Rhadoop, rmr2 & Linear programming

[Ananya Chandraker]

Hi Everyone,

I am running a LP in R using (lpSolve) package, before this we are performing lot of stuff in R for AD creation and passing the data to perform optimization process using LP.

Data is quite big in our case and taking lot of time to complete this linear programming process & sometimes it also get fails in R, due to memory issue,

Is there is anyway to convert this process into parallel processing or change LP syntax of R to map-reduce using Rhadoop.

We can connect our R to hadoop using rmr2 package, if Rhadoop would be a solution

Using below code in R for LP:

Lp <- lp (direction = "max", obj.in, diag_1, dir, constraint,

            transpose.constraints = TRUE, all.int=F)

Thanks in advance!

Ananya Chandraker.

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[Antonio Piccolboni]

An efficient linear programming algorithm for the mapreduce model of computation is the subject of current active research. A google search [linear programming mapreduce] should bring up some relevant papers.

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