Service requirement conflict resolution based on ant colony optimization in group-enterprises-oriented cloud manufacturing

Huang, Xiaorong; Du, Baigang; Sun, Libo; Chen, Feng; Dai, Wei

doi:10.1007/s00170-015-7961-x

Cited by 28 publications

(6 citation statements)

References 53 publications

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“…Huang et al [114] propose a scheduling algorithm based on Ant Colony Optimisation (ACO). In an experiment they compare the algorithm with and without a serial schedule generation scheme (SSGS) against another heuristic Genetic Algorithm (GA).…”

Section: Schedulingmentioning

confidence: 99%

Additive Manufacturing, Cloud-Based 3D Printing and Associated Services—Overview

Baumann

Roller

2017

JMMP

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Cloud Manufacturing (CM) is the concept of using manufacturing resources in a service-oriented way over the Internet. Recent developments in Additive Manufacturing (AM) are making it possible to utilise resources ad-hoc as replacements for traditional manufacturing resources in case of spontaneous problems in the established manufacturing processes. In order to be of use in these scenarios, the AM resources must adhere to a strict principle of transparency and service composition in adherence to the Cloud Computing (CC) paradigm. With this review, we provide an overview of CM, AM and relevant domains as well as presenting the historical development of scientific research in these fields, from 2002 to 2016. Part of this work is also a meta-review on the domain to further detail its development and structure.

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Section: Schedulingmentioning

confidence: 99%

Additive Manufacturing, Cloud-Based 3D Printing and Associated Services—Overview

Baumann

Roller

2017

JMMP

View full text Add to dashboard Cite

show abstract

“…Z e n g, V e e r a v a l l i and Li [44], Liu et al [15], C h e n et al [8] and Lin et al [21] ensured the high quality of security and service with minimizing operational cost. H u a n g et al [45] analysed the service requirement conflict resolution in cloudbased system. S i n d h u, G i l l and S o o d [46] solved the outbreak problem and keep track of virus strain.…”

Section: O G H a D D A M R M O G H A D D A M And C H E R I E T [22]mentioning

confidence: 99%

“…Z e n g, V e e r a v a l l i and Li [44]  -Liu et al [15]  -C h e n et al [8]  -Lin et al [21]  -H u a n g et al [45] Service requirement conflict resolution…”

Section: O G H a D D A M R M O G H A D D A M And C H E R I E T [22]mentioning

confidence: 99%

“… Desired Execution time J u l a, O t h m a n, and S u n d a r a r a j a n Size selection error rate W a n g et al [38]  Guarantee ratio F a n g et al [39] Resource capacity ratio L i et al [40]  C h a n d r a s e k a r a n, M u r a l i d h a r and D i x i t [41] Machining cost Sun et al [43]   H u a n g et al [45] Total delay time, Service capacity Liu et al In [43] the throughput stepping plan is automatically derived from the particular throughput QoS goals. The Communication to computation ratio is able to be used to point out whether a task graph is computation-intensive or communication intensive [3].…”

Section: P a L M I E R I Et Al [30] -B I T T E N C O U R T And M A Dmentioning

confidence: 99%

“…Z e n g, V e e r a v a l l i and Li [44] used immovable dataset concept and developed a Security-Aware and Budget-Aware workflow scheduling strategy, to provide customers with shorter makespan and high-quality security services. H u a m g et al [45] have worked on Cloud Manufacturing (CMfg) platform for group enterprises (GE) and proposed conflict resolution mathematical model based on the Ant colony optimization algorithm and serial schedule generation scheme. Z i n n e d i n e [50] proposed a cloud security framework for mitigating the vulnerabilities and had done cost optimization using Cuckoo search algorithm with Levy flight as random walks and thereby balanced the IT security coverage.…”

Section: Introductionmentioning

confidence: 99%

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