A Two-Stage Algorithm for the Dynamic Bin Packing Problem with Placement Groups

IF 0.58 Q3 Engineering
A. V. Ratushnyi, Y. A. Kochetov
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引用次数: 0

Abstract

A new dynamic bin packing problem relevant to cloud computing is considered. The creation time, deletion time, and required resources are known for each item (virtual machine). The containers (servers) have a NUMA architecture and specific rules for placing the machines. The servers are grouped into racks, and some machines form groups. Each group is divided into partitions. Machines from different partitions cannot be placed on the same rack to ensure system fault tolerance. The objective is to pack all the machines into the minimum number of racks over a given planning horizon. A two-stage algorithm is developed to solve the problem: an initial solution is constructed, where some constraints may be violated, followed by iterative improvement using local search aimed at eliminating the violations. Using the proposed approach, an average deviation of 3.8% from the lower bound was achieved on open test cases.

带放置群的动态装箱问题的两阶段算法
考虑了与云计算相关的一个新的动态装箱问题。每个项目(虚拟机)的创建时间、删除时间和所需资源都是已知的。容器(服务器)具有NUMA体系结构和用于放置机器的特定规则。服务器被分组到机架中,一些机器组成组。每一组被分成若干分区。来自不同分区的机器不能放在同一个机架上,以确保系统容错性。目标是在给定的规划范围内将所有机器打包到最少数量的机架中。提出了一种两阶段算法来解决该问题:首先构造一个初始解,其中可能违反了某些约束,然后使用局部搜索进行迭代改进,旨在消除违反。使用所提出的方法,在开放的测试用例上实现了与下界的平均偏差3.8%。
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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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