Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding

The coexistence of parallel applications in shared computing nodes, each one featuring different Quality of Service (QoS) requirements, carries out new challenges to improve resource occupation while keeping acceptable rates in terms of QoS. As more application-specific and system-wide metrics are i...

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Vydané v:	The Journal of supercomputing Ročník 76; číslo 12; s. 9388 - 9403
Hlavní autori:	Costero, Luis, Igual, Francisco D., Olcoz, Katzalin, Tirado, Francisco
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2020 Springer Nature B.V
Predmet:	Automatic control Compilers Computer Science High Performance Computing in Science and Engineering - CMMSE-2019 Interpreters Knobs Processor Architectures Programming Languages Quality of service Resource management Reinforcement Learning HEVC video transcoding Multi-core architectures Heterogeneous Quality of Service Resource management
ISSN:	0920-8542, 1573-0484
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