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
Hlavní autori: Nazari, Asef, Thiruvady, Dhananjay, Aleti, Aldeida, Moser, Irene
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: 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.
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
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  surname: Nazari
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  givenname: Dhananjay
  surname: Thiruvady
  fullname: Thiruvady, Dhananjay
  organization: Bayesian Intelligence
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  givenname: Aldeida
  surname: Aleti
  fullname: Aleti, Aldeida
  organization: Monash University
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  givenname: Irene
  surname: Moser
  fullname: Moser, Irene
  organization: Swinburne University of Technology
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Copyright Copyright © 2016, The Operational Research Society 2016
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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
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