New scheduling approach using reinforcement learning for heterogeneous distributed systems
Computer clusters, cloud computing and the exploitation of parallel architectures and algorithms have become the norm when dealing with scientific applications that work with large quantities of data and perform complex and time-consuming calculations. With the rise of social media applications and...
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Published in | Journal of parallel and distributed computing Vol. 117; pp. 292 - 302 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.07.2018
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Subjects | |
Online Access | Get full text |
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