@inproceedings{5b7d9c39af1c44e891db1fa403d8601f,
title = "A novel local optimization method for QoS-aware web service composition",
abstract = "QoS-aware web service selection has become a hot-spot research topic in the domain of web service composition. In previous works, the multiple tasks recruited in a composite schema are usually considered of equal importance. However, it is unreasonable for each task to have the absolutely same weight in certain circumstances. Hence, it is a great challenge to mine the weights among different tasks to reflect customers' partial preferences. In view of this challenge, a novel local optimization method is presented in this paper, which is based on a two-hierarchy weight, i.e., weight of task's criteria and weight of tasks. Finally, a case study is demonstrated to validate the feasibility of our proposal.",
keywords = "QoS, weight, service composition, local optimization",
author = "Xiaojie Si and Xuyun Zhang and Wanchun Dou",
year = "2010",
doi = "10.1007/978-3-642-16515-3_50",
language = "English",
isbn = "9783642165146",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "402--409",
editor = "Wang, {Fu Lee} and Zhiguo Gong and Xiangfeng Luo and Jingsheng Lei",
booktitle = "Web Information Systems and Mining",
address = "United States",
note = "International Conference on Web Information Systems and Mining ; Conference date: 23-10-2010 Through 24-10-2010",
}