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001-es BibID:	BIBFORM117943
Első szerző:	Kovásznai Gergely
Cím:	Integer Programming Based Optimization of Power Consumption for Data Center Networks / Gergely Kovásznai, Mohammed Nsaif
Dátum:	2024
ISSN:	0324-721X
Megjegyzések:	With the quickly developing data centers in smart cities, reducing energy consumption and improving network performance, as well as economic benefits, are essential research topics. In particular, Data Center Networks do not always run at full capacity, which leads to significant energy consumption. This paper experiments with a range of optimization tools to find the optimal solutions for the Integer Linear Programming (ILP) model of network power consumption. The study reports on experiments under three communication patterns (near, long, and random), measuring runtime and memory consumption in order to evaluate the performance of different ILP solvers. While the results show that, for near traffic pattern, most of the tools rapidly converge to the optimal solution, CP-SAT provides the most stable performance and outperforms the other solvers for the long traffic pattern. On the other hand, for random traffic pattern, Gurobi can be considered to be the best choice, since it is able to solve all the benchmark instances under the time limit and finds solutions faster by 1 or 2 orders of magnitude than the other solvers do.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk integer programming optimization power consumption Data Center Network solvers
Megjelenés:	Acta Cybernetica. - Epub : - (2024), p. 1-17. -
További szerzők:	Nsaif, Mohammed (informatics)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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