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This exercise uses a graph-plotting program (gnuplot) to convert tabular data into an image. This is a technique that is very widely used to visualize scientific data; with appropriate instructions, gnuplot can produce significantly more complex graphs than almost all of its competitors.
Note that povray and gnuplot have quite substantially different ways of being controlled. The povray executable (from the previous example) has a complex command line interface that has been configured into the Unicore server. By comparison, gnuplot is extremely simple (so much so that it doesn't need explicit support at the server level) but it has to have the name of associated files placed in its control file: this increased coupling tends to make code more fragile.
1. Save this job definition to a JSON file called gnuplot.u:
{
Executable: "/bin/sh",
Arguments: ["control.sh"],
Imports: [
{From: "control.sh", To: "control.sh"},
{From: "data.csv", To: "data.csv"},
],
Exports: [
{From: "output.png", To: "plot.png"}
}
Q. What are three benefits of dynamic (shared) linkage of libraries compared to static linkage? What are two situations where static linkage is preferable? Answer: The
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Declare some Applications of Open Source Systems • Finance • Educational • Data Storage and Management • ERP (Enterprise Resource Planning) •File Sharing & FTP
What is the use of FIFOs in client-server applications
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