A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm
文献类型：期刊论文
| 作者 | Sangaiah, Arun Kumar1,2; Bian, Gui-Bin2 ; Bozorgi, Seyed Mostafa3; Suraki, Mohsen Yaghoubi6; Hosseinabadi, Ali Asghar Rahmani5; Shareh, Morteza Babazadeh4
|
| 刊名 | SOFT COMPUTING
 |
| 出版日期 | 2020-06-01 |
| 卷号 | 24期号:11页码:8125-8137 |
| 关键词 | Web services composition Web service Quality of service Biogeography-based optimization Cloud computing |
| ISSN号 | 1432-7643 |
| DOI | 10.1007/s00500-019-04266-y |
| 通讯作者 | Bian, Gui-Bin(guibin.bian@ia.ac.cn) |
| 英文摘要 | With the development of technology and computer systems, web services are used to develop business processes. Since a web service only performs a simple operation, web services composition has become important to respond to these business processes. In recent times, the number of existing web services has grown increasingly; therefore, similar services are presented increasingly. These similar web services are discriminated based on the various quality of service (QoS) parameters. These quality parameters include cost, execution time, availability, and reliability. In order to have the best QoS, each user should select a subset of services that presents best quality parameters. On the other hand, due to huge number of services, selecting web services for composition is an NP-hard optimization problem. This paper presents an efficient method for solving this problem using biogeography-based optimization (BBO). BBO is a very simple algorithm with few control parameters and effective exploit. The proposed method offers promising solutions to this problem. Evaluation and simulation results indicate efficiency and feasibility of the proposed algorithm. |
| WOS关键词 | DIFFERENTIAL EVOLUTION ; GENETIC ALGORITHM ; PARTICLE SWARM ; SELECTION ; PARADIGM ; ABC |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000530547900025 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.ia.ac.cn/handle/173211/39476]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Bian, Gui-Bin |
| 作者单位 | 1.Vellore Inst Technol VIT, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Islamic Azad Univ, Tehran North Branch, Dept Comp Engn, Tehran, Iran 4.Islamic Azad Univ, Babol Branch, Dept Comp Engn, Babol Sar, Iran 5.Islamic Azad Univ, Ayatollah Amoli Branch, Young Researchers & Elite Club, Amol, Iran 6.Islamic Azad Univ, Qazvin Branch, Dept IT & Comp Engn, Qazvin, Iran |
| 推荐引用方式 GB/T 7714 | Sangaiah, Arun Kumar,Bian, Gui-Bin,Bozorgi, Seyed Mostafa,et al. A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm[J]. SOFT COMPUTING,2020,24(11):8125-8137. |
| APA | Sangaiah, Arun Kumar,Bian, Gui-Bin,Bozorgi, Seyed Mostafa,Suraki, Mohsen Yaghoubi,Hosseinabadi, Ali Asghar Rahmani,&Shareh, Morteza Babazadeh.(2020).A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm.SOFT COMPUTING,24(11),8125-8137. |
| MLA | Sangaiah, Arun Kumar,et al."A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm".SOFT COMPUTING 24.11(2020):8125-8137. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。