欢迎访问行业研究报告数据库

行业分类

当前位置:首页 > 报告详细信息

找到报告 1 篇 当前为第 1 页 共 1

大规模的P2P-INSPIREC问题解决:正式实验研究

LARGE-SCALE P2P-INSPIREC PROBLEM-SOLVING: A FORMAL AND EXPERIMENTAL STUDY

作者:Mathieu Djamaie;Bilel Derbel;Nouredine Melab 加工时间:2015-07-29 信息来源:科技报告(Other) 索取原文[31 页]
关键词:对等方式;B&B算法;分布式算法;通信
摘 要:In this chapter, we proposed a new peer-to-peer approach for the tree-based B&B algorithm. This approach is based on fully distributed algorithms dealing with work sharing and termination detection in an asynchronous FIFO message passing communication model. Using a small-degree, small-diameter network overlay, we argued that this approach allows us to improve the scalability of the state-of-the-art master-slave approach by controlling the overhead in terms of message exchanged and increasing the overall parallel efficiency. We also show by extensive experiments that our P2P approach effectively scales well and induces significant improvements to the the master-slave approach. Although our algorithms were discussed in the specific context of permutation-based problems and parallel B&B, it is not difficult to see that it can be extended to other contexts. Roughly speaking, for that purpose one must define the following features depending on the application context: (ⅰ) an encoding of work units (intervals), (ⅱ) the processing of work units (sequential B&B), and (ⅲ) the global information that needs to be shared (best B&B solution).
© 2016 武汉世讯达文化传播有限责任公司 版权所有 技术支持:武汉中网维优
客服中心

QQ咨询


点击这里给我发消息 客服员


电话咨询


027-87841330


微信公众号




展开客服