Comparison of state-of-the-art distributed computing frameworks with the GWM
We have analysed the landscape of heterogeneous
computing solutions in order to understand and explain the
position of our application, the General Workload Manager, in
that landscape. We have classified several applications in the
following groups: Grid middleware, Grid powered applications,
Cloud computing, and modern lightweight solutions. We have
successfully analysed the characteristics of those groups and
found similar characteristics in our application, which allows
for a better comprehension of both the landscape of existing
solutions and the General Workload Manager.
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Publication: Congress
1624015033842
June 18, 2021
/research/publications/comparison-of-state-of-the-art-distributed-computing-frameworks-with-the-gwm
We have analysed the landscape of heterogeneous
computing solutions in order to understand and explain the
position of our application, the General Workload Manager, in
that landscape. We have classified several applications in the
following groups: Grid middleware, Grid powered applications,
Cloud computing, and modern lightweight solutions. We have
successfully analysed the characteristics of those groups and
found similar characteristics in our application, which allows
for a better comprehension of both the landscape of existing
solutions and the General Workload Manager. - G. Indalecio, F. Gómez-Folgar and A. J. García-Loureiro - 10.1109/CDE.2015.7087480
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