{"title":"An automatic verifier for the feasibility of special cases of the offline dynamic storage allocation problem","authors":"Soon Aik Low, Yen Kaow Ng, Hung-Khoon Tan","doi":"10.1049/cp.2012.2104","DOIUrl":null,"url":null,"abstract":"The offline Dynamic Storage Allocation (DSA) problem is a well-known problem in combinatorial optimization. The problem is one of packing a set of blocks of arbitrary sizes on an area, with the objective of minimizing the area's usage along the y-axis, under the condition that the x-position of the blocks are fixed (as given in the input). The problem has uses in memory management, berth allocation, and can potentially be used in the allocation of bandwidth resources in a network. Li et al. [4] considered the case of the problem where the width of the blocks (their dimension along the y-axis) is to be no larger than a given number. They obtained several approximation algorithms for special cases of the problem, by first studying the feasibility of several subcases with further restriction, such as limiting the y-dimension of the area to pack the blocks. We believe that such feasibility results on subcases of the problem can help in obtaining algorithms for other special cases of the problem. In this paper we propose a method to automatically derive such results. Our implementation of a simplified version of the proposed method in C++ correctly duplicated many of the earlier results obtained by Li et al. (4 pages)","PeriodicalId":383835,"journal":{"name":"IET International Conference on Wireless Communications and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET International Conference on Wireless Communications and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/cp.2012.2104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The offline Dynamic Storage Allocation (DSA) problem is a well-known problem in combinatorial optimization. The problem is one of packing a set of blocks of arbitrary sizes on an area, with the objective of minimizing the area's usage along the y-axis, under the condition that the x-position of the blocks are fixed (as given in the input). The problem has uses in memory management, berth allocation, and can potentially be used in the allocation of bandwidth resources in a network. Li et al. [4] considered the case of the problem where the width of the blocks (their dimension along the y-axis) is to be no larger than a given number. They obtained several approximation algorithms for special cases of the problem, by first studying the feasibility of several subcases with further restriction, such as limiting the y-dimension of the area to pack the blocks. We believe that such feasibility results on subcases of the problem can help in obtaining algorithms for other special cases of the problem. In this paper we propose a method to automatically derive such results. Our implementation of a simplified version of the proposed method in C++ correctly duplicated many of the earlier results obtained by Li et al. (4 pages)
离线动态存储分配(DSA)问题是组合优化中一个众所周知的问题。这个问题是在一个区域内填充一组任意大小的块,目标是在块的x位置固定(如输入中所示)的条件下,沿着y轴最小化该区域的使用率。该问题用于内存管理、泊位分配,并且可能用于网络中带宽资源的分配。Li et al.[4]考虑的问题是,块的宽度(沿y轴的尺寸)不大于给定的数字。他们首先研究了几个具有进一步限制的子情况的可行性,例如限制了包装块的面积的y维,从而获得了该问题的几种特殊情况的近似算法。我们相信这些在该问题子情况上的可行性结果可以帮助我们得到该问题其他特殊情况下的算法。在本文中,我们提出了一种自动导出此类结果的方法。我们在c++中实现了该方法的简化版本,正确地复制了Li等人早期获得的许多结果。