Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments

Abraham, Ajith; Liu, Hongbo; Zhao, Mi

doi:10.1007/978-3-540-78985-7_13

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…Dahal et al (2008) apply a constructive search and VNS to tackle a complex real world workforce scheduling problem. Abraham et al (2008) propose a VNS/PSO hybrid for the scheduling problem in distributed data-intensive computing environments. Liao and Liao (2008) apply an ACO algorithm which uses a VNS as the local search to make it more efficient and effective for scheduling in agile manufacturing.…”

Section: Car Sequencingmentioning

confidence: 99%

Variable neighbourhood search: methods and applications

Hansen

Mladenović

Moreno-Pérez

2008

4OR

256

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Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building heuristics, based upon systematic changes of neighbourhoods both in descent phase, to find a local minimum, and in perturbation phase to emerge from the corresponding valley. It was first proposed in 1997 and has since then rapidly developed both in its methods and its applications. In the present paper, these two aspects are thoroughly reviewed and an extensive bibliography is provided. Moreover, one section is devoted to newcomers. It consists of steps for developing a heuristic for any particular problem. Those steps are common to the implementation of other metaheuristics.

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Section: Car Sequencingmentioning

confidence: 99%

Variable neighbourhood search: methods and applications

Hansen

Mladenović

Moreno-Pérez

2008

4OR

256

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show abstract

“…Dahal et al (2008) apply a constructive search and VNS to tackle a complex real world workforce scheduling problem. Abraham et al (2008) propose a VNS/PSO hybrid for the scheduling problem in distributed data-intensive computing environments. Liao and Liao (2008) apply an ACO algorithm which uses a variable neighbourhood search as the local search to make it more efficient and effective for scheduling in agile manufacturing.…”

Section: Car Sequencingmentioning

confidence: 99%

Variable neighbourhood search: methods and applications

2009

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“…Performance(84) EXACT PROBLEM-SPECIFIC(3) [1], [112], [126], EXACT STANDARD(14) [12]- [15], [42]- [44], [69], [117], [169], [174], [218], [236], [241], GENERAL(1) [153], METAHEURIS-TIC(45) [2], [3], [23], [29], [32], [35], [38]- [40], [45], [46], [66], [73], [77], [83], [84], [88], [114], [122]- [124], [130], [133], [141], [143], [145], [160], [161], [170], [175]- [177], [188], [189], [196]- [198], [200], [220], …”

Section: Qa Optimization Strategy Type Constraint Handlingmentioning

confidence: 99%

Software Architecture Optimization Methods: A Systematic Literature Review

Aleti

Bühnová

Grunske

et al. 2013

IIEEE Trans. Software Eng.

244

146

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Due to significant industrial demands toward software systems with increasing complexity and challenging quality requirements, software architecture design has become an important development activity and the research domain is rapidly evolving. In the last decades, software architecture optimization methods, which aim to automate the search for an optimal architecture design with respect to a (set of) quality attribute(s), have proliferated. However, the reported results are fragmented over different research communities, multiple system domains, and multiple quality attributes. To integrate the existing research results, we have performed a systematic literature review and analyzed the results of 188 research papers from the different research communities. Based on this survey, a taxonomy has been created which is used to classify the existing research. Abstract-Due to significant industrial demands toward software systems with increasing complexity and challenging quality requirements, software architecture design has become an important development activity and the research domain is rapidly evolving. In the last decades, software architecture optimization methods, which aim to automate the search for an optimal architecture design with respect to a (set of) quality attribute(s), have proliferated. However, the reported results are fragmented over different research communities, multiple system domains, and multiple quality attributes. To integrate the existing research results, we have performed a systematic literature review and analyzed the results of 188 research papers from the different research communities. Based on this survey, a taxonomy has been created which is used to classify the existing research. Furthermore, the systematic analysis of the research literature provided in this review aims to help the research community in consolidating the existing research efforts and deriving a research agenda for future developments.

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Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments

Cited by 13 publications

References 16 publications

Variable neighbourhood search: methods and applications

Variable neighbourhood search: methods and applications

Variable neighbourhood search: methods and applications

Software Architecture Optimization Methods: A Systematic Literature Review

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