A multilevel algorithm for scalable independent task assignment

Assigning a large number of independent tasks to heterogeneous processors is a fundamental problem in modern computing, with applications in many domains such as cloud services, web crawling, and AI training. Exact and matheuristic approaches deliver high-quality assignments but incur superlinear or...

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Veröffentlicht in:	Future generation computer systems Jg. 176; S. 108183
Hauptverfasser:	Burhan Tabak, H., Kartal Tabak, E., Aykanat, Cevdet
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2026
Schlagworte:	Distributed and parallelized LLM training Geographically distributed web crawling Heterogeneous systems Independent task assignment Load balancing Multilevel framework Parallel and distributed computing Heterogeneous systems Multilevel framework Parallel and distributed computing Independent task assignment Geographically distributed web crawling Distributed and parallelized LLM training Load balancing
ISSN:	0167-739X
Online-Zugang:	Volltext
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