Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/589886
Title: QoS-Aware Multigranularity Service Composition: Modeling and Optimization
Authors: Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Dong-Hoon Shin
subject: service composition|quality of service (QoS)|Generalized component service (GCS)|granularity|optimization
Year: 2016
Publisher: IEEE
Abstract: Quality of service (QoS)-aware optimal service composition aims to maximize the overall QoS value of the resulting composite service instance while meeting user-specified global QoS constraints. Traditional methods only consider as candidates service instances that implement one abstract service in the composite service and neglect those that could perform multiple abstract services. To overcome this shortcoming, this paper proposes the concept of generalized component services (GCSs), which is defined in a semantic manner, to expand the selection scope so as to achieve a better solution. A QoS-aware multigranularity service composition model is formulated and how to identify all the GCSs for a composite service is elaborated. A backtracking-based algorithm and an extended genetic algorithm are proposed to optimize the resulting composite service instance. Lastly, evaluation results of these algorithms are described.
URI: http://localhost/handle/Hannan/158877
http://localhost/handle/Hannan/589886
ISSN: 2168-2216
2168-2232
volume: 46
issue: 11
Appears in Collections:2016

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Title: QoS-Aware Multigranularity Service Composition: Modeling and Optimization
Authors: Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Dong-Hoon Shin
subject: service composition|quality of service (QoS)|Generalized component service (GCS)|granularity|optimization
Year: 2016
Publisher: IEEE
Abstract: Quality of service (QoS)-aware optimal service composition aims to maximize the overall QoS value of the resulting composite service instance while meeting user-specified global QoS constraints. Traditional methods only consider as candidates service instances that implement one abstract service in the composite service and neglect those that could perform multiple abstract services. To overcome this shortcoming, this paper proposes the concept of generalized component services (GCSs), which is defined in a semantic manner, to expand the selection scope so as to achieve a better solution. A QoS-aware multigranularity service composition model is formulated and how to identify all the GCSs for a composite service is elaborated. A backtracking-based algorithm and an extended genetic algorithm are proposed to optimize the resulting composite service instance. Lastly, evaluation results of these algorithms are described.
URI: http://localhost/handle/Hannan/158877
http://localhost/handle/Hannan/589886
ISSN: 2168-2216
2168-2232
volume: 46
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7401117.pdf2.07 MBAdobe PDFThumbnail
Preview File
Title: QoS-Aware Multigranularity Service Composition: Modeling and Optimization
Authors: Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Dong-Hoon Shin
subject: service composition|quality of service (QoS)|Generalized component service (GCS)|granularity|optimization
Year: 2016
Publisher: IEEE
Abstract: Quality of service (QoS)-aware optimal service composition aims to maximize the overall QoS value of the resulting composite service instance while meeting user-specified global QoS constraints. Traditional methods only consider as candidates service instances that implement one abstract service in the composite service and neglect those that could perform multiple abstract services. To overcome this shortcoming, this paper proposes the concept of generalized component services (GCSs), which is defined in a semantic manner, to expand the selection scope so as to achieve a better solution. A QoS-aware multigranularity service composition model is formulated and how to identify all the GCSs for a composite service is elaborated. A backtracking-based algorithm and an extended genetic algorithm are proposed to optimize the resulting composite service instance. Lastly, evaluation results of these algorithms are described.
URI: http://localhost/handle/Hannan/158877
http://localhost/handle/Hannan/589886
ISSN: 2168-2216
2168-2232
volume: 46
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7401117.pdf2.07 MBAdobe PDFThumbnail
Preview File