A novel quality-of-service-aware web services composition using biogeography-based optimization algorithm | |
Sangaiah, Arun Kumar1,2; Bian, Gui-Bin1; Bozorgi, Seyed Mostafa3; Suraki, Mohsen Yaghoubi4; Hosseinabadi, Ali Asghar Rahmani5; Shareh, Morteza Babazadeh6 | |
发表期刊 | SOFT COMPUTING |
ISSN | 1432-7643 |
2020-06-01 | |
卷号 | 24期号:11页码:8125-8137 |
通讯作者 | Bian, Gui-Bin(guibin.bian@ia.ac.cn) |
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. |
关键词 | Web services composition Web service Quality of service Biogeography-based optimization Cloud computing |
DOI | 10.1007/s00500-019-04266-y |
关键词[WOS] | DIFFERENTIAL EVOLUTION ; GENETIC ALGORITHM ; PARTICLE SWARM ; SELECTION ; PARADIGM ; ABC |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
WOS记录号 | WOS:000530547900025 |
出版者 | SPRINGER |
七大方向——子方向分类 | 多模态智能 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39477 |
专题 | 复杂系统管理与控制国家重点实验室_先进机器人 |
通讯作者 | Bian, Gui-Bin |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Vellore Inst Technol VIT, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India 3.Islamic Azad Univ, Tehran North Branch, Dept Comp Engn, Tehran, Iran 4.Islamic Azad Univ, Qazvin Branch, Dept IT & Comp Engn, Qazvin, Iran 5.Islamic Azad Univ, Ayatollah Amoli Branch, Young Researchers & Elite Club, Amol, Iran 6.Islamic Azad Univ, Babol Branch, Dept Comp Engn, Babol Sar, Iran |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论