报告题目：DACS: Distributed Adjustable Computation Scheme in Highly Scalable Data Center Networks Based on Multi-protection Routing
时 间：2025年12月09日 (星期二) 18:30
地 点：腾讯会议：938865715
主 办：数学与统计学院、分析数学及应用教育部重点实验室、福建省分析数学及应用重点实验室、福建省应用数学中心（福建师范大学）
参加对象：感兴趣的老师和研究生
报告摘要：In data center networks (DCNs), many value-added services involving multiple tenants and distributed sites can be naturally modelled as multi-party communication (MPC) processes, where participants exchange information across infrastructures to support collaborative computation. For MPC, it usually ensures that the private data of the multiple parties involved in the collaborative computation are safe, the computational results maintain acceptable accuracy, and all participants are in the same fair position in a distributed environment. This article considers an unexplored application based on MPC called the distributed adjustable computation scheme (DACS), which allows computation to be invoked when the collected data reaches a specified threshold in the communication. We developed a distributed algorithm using secure multi-protection routing to enable DACS. The proposed algorithm guarantees that each private data can be successfully delivered to the desired recipient even if any faulty component (including server or link) exists in the network. Also, no other than the destination can receive the complete private data. We implement DACS on highly scalable data center networks. Through simulation, experimental results show that DACS is highly reliable and achieves high security efficiency.
报告人简介：张肇明教授是台北商业大学特聘教授，于2001年台湾中央大学取得博士学位。于2011至2014年担任台北商业大学资讯与决策科学研究所所长，2014 至2015年担任台北商业大学管理学院院长。目前兼任演算法与计算理论学会理事一职。已经连续24年（共15次）获得台湾科技专题研究项目主持人。学术研究上，共发表约150余篇SCI期刊论文与 50余篇国际会议论文。目前，主要的研究领域包括算法设计与分析，图论，并行与分布式计算，网络分析与优化等主题。