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Stochastic Greedy Algorithms for a Temporal Bin Packing Problem with Placement Groups Full article

Conference XXIII International Conference Mathematical Optimization Theory and Operations Research
30 Jun - 6 Jul 2024 , Омск
Source Mathematical Optimization Theory and Operations Research : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings
Compilation, Springer Cham. Switzerland.2024. 464 c. ISBN 978-3-031-62792-7.
Journal Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349
Output data Year: 2024, Volume: 14766, Pages: 199-211 Pages count : 13 DOI: 10.1007/978-3-031-62792-7_14
Tags Stochastic algorithms, temporal bin packing, first-fit · placement groups, placement constraints
Authors Turnaev Alexander 1,2 , Panin Artem 2
Affiliations
1 Novosibirsk State University
2 Sobolev Institute of Mathematics

Funding (1)

1 Sobolev Institute of Mathematics FWNF-2022-0019

Abstract: The paper considers a temporal bin packing problem, where bins are servers using the Non-Uniform Memory Access architecture, and items are virtual machines. Bins are grouped together into racks. The main difference from the classical bin packing problem is that items are organized into placement groups, which are subdivided into subgroups. Items from different subgroups of the same group conflict and cannot be placed on the same rack. The additional constraints considered are relevant to cloud computing. Service reliability is essential for both service providers and their customers. This is achieved by isolating subgroups of virtual machines from the same placement group within a failure domain. Several stochastic algorithms have been developed to solve this problem. They are based on the classical first-fit algorithm, reordering of the packing sequence, and the bisection method. The algorithms give good results even for a rather naive initial solution (ordering). Moreover, they are easily parallelizable, which allows them to have an acceptable speed even for large problems.
Cite: Turnaev A. , Panin A.
Stochastic Greedy Algorithms for a Temporal Bin Packing Problem with Placement Groups
In compilation Mathematical Optimization Theory and Operations Research : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings. – Springer Cham., 2024. – C.199-211. – ISBN 978-3-031-62792-7. DOI: 10.1007/978-3-031-62792-7_14 Scopus OpenAlex
Dates:
Submitted: Mar 29, 2024
Published print: Jun 18, 2024
Published online: Jun 18, 2024
Identifiers:
Scopus: 2-s2.0-85198482440
OpenAlex: W4399743091
Citing: Пока нет цитирований
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