Skip to content

Latest commit

 

History

History
80 lines (55 loc) · 1.85 KB

README-Install.md

File metadata and controls

80 lines (55 loc) · 1.85 KB
Raw

Prerequisites

Environment

  • CMake (>= version 2.8)
  • C++14 compiler, GCC preferred
  • Python 3.7+

Building & Installing

....

  1. Common build options:

    • CMAKE_INSTALL_PREFIX=<path>: Install path

    • -DENABLE_FlowMonitor=<ON|OFF>: Enable build of FlowMonitor

    • -DENABLE_FlowAnalysis=<ON|OFF>: Enable build of FlowAnalysis

    • -DCMAKE_CXX_COMPILER=<path>: Path for C++ compiler

    • All options:

    cmake -LH <path-to-datalife-root>
cmake -LA <path-to-datalife-root>

  2. Build the datalife (monitor and analysis) within directory build:

    mkdir <build> && cd <build>
cmake \
  -DCMAKE_INSTALL_PREFIX=<install-path> \
  <datalife-root-path>
make install

    Individual packages can also be built, e.g.:

    cd flow-monitor
mkdir <build> && cd <build>
cmake ...
make install

Using

DataLife has two main steps.

  1. Monitor...

  2. Analysis and diagnostics:

     datalife-analyze
 usage: datalife-analyze [-h] [-i INPUT] [-o OUTPUT]

 datalife-analyze produces data flow lifecycle (DFL) graph to guide
 decisions regarding coordinating tasks and data flows on distributed
 resources.

 optional arguments:
   -h, --help            show this help message and exit
   -i INPUT, --input INPUT
                         read I/O monitor stats from directory path
   -o OUTPUT, --output OUTPUT
                         write a graph output to a file