Optimization of resource-aware parallel and distributed computing: a review

This paper presents a review of state-of-the-art solutions concerning the optimization of computing in the field of parallel and distributed systems. Firstly, we contribute by identifying resources and quality metrics in this context including servers, network interconnects, storage systems, computa...

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Veröffentlicht in:	The Journal of supercomputing Jg. 81; H. 7; S. 848
Hauptverfasser:	Czarnul, Paweł, Antal, Marcel, Baniata, Hamza, Griebler, Dalvan, Kertesz, Attila, Kessler, Christoph W., Kouloumpris, Andreas, Kovačić, Salko, Markus, Andras, Michael, Maria K., Nikolaou, Panagiota, Öz, Isil, Prodan, Radu, Rakić, Gordana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer Nature B.V 09.05.2025
Schlagworte:	Algorithms Ant colony optimization Blockchain Cloud computing Computer centers Computer networks Distributed processing Dynamic programming Energy consumption Game theory Genetic algorithms Greedy algorithms High performance computing Integer programming Internet of Things Linear programming Optimization Particle swarm optimization Power Software State-of-the-art reviews Storage systems Workloads Parallel and distributed architectures Parallel and distributed computing Optimization Review of resource-aware parallel and distributed computing
ISSN:	1573-0484, 0920-8542, 1573-0484
Online-Zugang:	Volltext
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