A mixed integer linear programming model for reliability optimisation in the component deployment problem
Component deployment is a combinatorial optimisation problem in software engineering that aims at finding the best allocation of software components to hardware resources in order to optimise quality attributes, such as reliability. The problem is often constrained because of the limited hardware re...
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| Vydané v: | The Journal of the Operational Research Society Ročník 67; číslo 8; s. 1050 - 1060 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
Taylor & Francis
01.08.2016
Palgrave Macmillan Palgrave Macmillan UK Taylor & Francis Ltd |
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| ISSN: | 0160-5682, 1476-9360 |
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| Abstract | Component deployment is a combinatorial optimisation problem in software engineering that aims at finding the best allocation of software components to hardware resources in order to optimise quality attributes, such as reliability. The problem is often constrained because of the limited hardware resources, and the communication network, which may connect only certain resources. Owing to the non-linear nature of the reliability function, current optimisation methods have focused mainly on heuristic or metaheuristic algorithms. These are approximate methods, which find near-optimal solutions in a reasonable amount of time. In this paper, we present a mixed integer linear programming (MILP) formulation of the component deployment problem. We design a set of experiments where we compare the MILP solver to methods previously used to solve this problem. Results show that the MILP solver is efficient in finding feasible solutions even where other methods fail, or prove infeasibility where feasible solutions do not exist. |
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| AbstractList | Component deployment is a combinatorial optimisation problem in software engineering that aims at finding the best allocation of software components to hardware resources in order to optimise quality attributes, such as reliability. The problem is often constrained because of the limited hardware resources, and the communication network, which may connect only certain resources. Owing to the non-linear nature of the reliability function, current optimisation methods have focused mainly on heuristic or metaheuristic algorithms. These are approximate methods, which find near-optimal solutions in a reasonable amount of time. In this paper, we present a mixed integer linear programming (MILP) formulation of the component deployment problem. We design a set of experiments where we compare the MILP solver to methods previously used to solve this problem. Results show that the MILP solver is efficient in finding feasible solutions even where other methods fail, or prove infeasibility where feasible solutions do not exist. |
| Author | Aleti, Aldeida Thiruvady, Dhananjay Nazari, Asef Moser, Irene |
| Author_xml | – sequence: 1 givenname: Asef surname: Nazari fullname: Nazari, Asef organization: CSIRO Computational Informatics – sequence: 2 givenname: Dhananjay surname: Thiruvady fullname: Thiruvady, Dhananjay organization: Bayesian Intelligence – sequence: 3 givenname: Aldeida surname: Aleti fullname: Aleti, Aldeida organization: Monash University – sequence: 4 givenname: Irene surname: Moser fullname: Moser, Irene organization: Swinburne University of Technology |
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| CitedBy_id | crossref_primary_10_1007_s00500_023_09201_w crossref_primary_10_1080_01605682_2025_2479136 crossref_primary_10_3390_a13100252 crossref_primary_10_1109_JIOT_2017_2701408 crossref_primary_10_1080_01605682_2018_1448697 crossref_primary_10_1007_s10515_018_0248_3 crossref_primary_10_1007_s40622_018_0184_x crossref_primary_10_1109_TEM_2020_3037371 crossref_primary_10_1080_01605682_2022_2053304 crossref_primary_10_1080_01605682_2022_2122738 crossref_primary_10_1007_s10776_019_00454_7 |
| Cites_doi | 10.1109/12.600888 10.1016/0167-6377(89)90031-X 10.1109/2.976923 10.1016/j.jss.2004.06.027 10.1016/S0164-1212(02)00080-8 10.1287/mnsc.1060.0578 10.1007/s00170-013-4730-6 10.1002/stvr.294 10.1016/j.procs.2014.05.178 10.1016/B978-0-12-415917-4.00022-0 10.1109/TSE.1980.234477 10.1002/(SICI)1099-1425(199907/08)2:4<189::AID-JOS25>3.0.CO;2-I 10.1109/TSE.2012.64 10.1007/11558569_13 10.1109/12.127439 10.1016/j.asoc.2004.08.004 10.1016/j.entcs.2009.09.029 10.1109/4235.996017 10.1007/s10515-014-0148-0 10.1016/j.eswa.2011.03.041 10.1016/j.jss.2011.01.004 10.1016/S0166-5316(01)00034-7 10.1016/j.jss.2014.11.035 10.1016/j.cie.2008.11.008 10.7551/mitpress/1290.001.0001 10.7551/mitpress/5625.001.0001 |
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| SubjectTerms | Approximation Business and Management Combinatorial analysis Component reliability General Paper General Papers Hardware Heuristic methods Integer programming Linear programming Management Mixed integer Operations Research/Decision Theory Optimization Quality management reliability search Software engineering |
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| Title | A mixed integer linear programming model for reliability optimisation in the component deployment problem |
| URI | https://www.tandfonline.com/doi/abs/10.1057/jors.2015.119 https://www.jstor.org/stable/44988119 https://link.springer.com/article/10.1057/jors.2015.119 https://www.proquest.com/docview/1896339469 |
| Volume | 67 |
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