Cost-Efficient Data Backup for Data Center Networks against {\epsilon}-Time Early Warning Disaster

Data backup in data center networks (DCNs) is critical to minimize the data loss under disaster. This paper considers the cost-efficient data backup for DCNs against a disaster with $\varepsilon$ early warning time. Given geo-distributed DCNs and such a $\varepsilon$-time early warning disaster, we investigate the issue of how to back up the data in DCN nodes under risk to other safe DCN nodes within the $\varepsilon$ early warning time constraint, which is significant because it is an emergency data protection scheme against a predictable disaster and also help DCN operators to build a complete backup scheme, i.e., regular backup and emergency backup. Specifically, an Integer Linear Program (ILP)-based theoretical framework is proposed to identify the optimal selections of backup DCN nodes and data transmission paths, such that the overall data backup cost is minimized. Extensive numerical results are also provided to illustrate the proposed framework for DCN data backup

Rapid and Long-term Measures for Prevention and Mitigation of Communication Barriers in Production Networks

Due to the constantly increasing complexity and dynamic of modern production networks within value chains, effective communication between the individual corporations is required. Communication barriers, can lead to delays in the value creation process, which can lead to losses of efficiency in the entire production network. Within the framework of "InterKom", a joint research project of the WISSENSARCHITEKTUR Laboratory of Knowledge Architecture at TU Dresden and the Institute for Factory Systems and Logistics at Leibniz University Hanover, corresponding measures were developed on the basis of previously identified communication barriers in the context of production networks. These insights can be used to prevent communication barriers between suppliers, producers or consumers or to mitigate them as soon as they occur. The aim of the project is to provide a catalogue with precautions and countermeasures for corporations that supports the removal of communication barriers in the future

台湾少数民族の災害復興フレームワーク：2009年モラコット台風の復興過程を事例として

京都大学新制・課程博士博士(地球環境学)甲第24152号地環博第230号新制||地環||44(附属図書館)京都大学大学院地球環境学舎地球環境学専攻(主査)准教授 落合 知帆, 教授 小林 広英, 教授 西前 出, 教授 勝見 武, 准教授 TRENCHER Gregory学位規則第4条第1項該当Doctor of Global Environmental StudiesKyoto UniversityDFA

Fast Networking for Disaster Recovery

Content-Centric Networking (CCN) is now a research hotspot aiming at building up a new network architecture compared with the traditional IP-based, host-centric one. In this paper, after leaning that CCN\u27s content naming and content-based properties make it suitable for fast network organizing in disaster recovery, we propose methods on access point placement and routing to fast connect users in a middle-scale post-disaster scenario model. Our work includes the design of a placement algorithm using graphic union coverage and a CCN routing strategy based on Breadth-First Searching, both extracting the social attributes of user node distribution. We use real-world maps for simulation and carry out comparative analysis with existing Ad Hoc methods under the same experimental conditions. The simulation results show that CCN can bring more efficient routing and robust framework to fulfill the urgent demands of post-disaster recovery