Enabling continued operation of IT services and infrastructures during floods and other disasters

建议#：CNS 12-40171PI(S)：Matsunaga，Andrea Fortes，Jose A.机构：佛罗里达大学标题：RAPID：使IT服务和基础设施在洪灾和其他灾难中能够继续运行建议的项目：RAPID项目，研究虚拟互联网数据中心在灾难发生期间和灾难后通过虚拟机(VM)实时迁移和备份/检查点提高IT服务连续性的有效性，对虚拟化技术的使用进行研究。这些技术可缓解和恢复灾难性事件对IT基础设施及其提供的服务的影响。与泰国法政大学合作，互联网数据中心(IDC)将被用作灾难恢复站点，在其中可以备份政府和企业数据，并可以临时放置运营服务器，以便为组织提供高可用性和弹性？业务和服务：2011年泰国洪灾中最近发生的灾难性事件在各种组织提供的业务和服务中断方面提出了许多问题，这些组织可以为处理未来的其他灾难性事件作出贡献。出现了几个研究问题：-需要评估现有的基础设施，因为合适的解决方案依赖于灾难的类型和受灾地区的IT环境的现实；以及-需要解决跨地理位置迁移VM时的挑战，因为现有的VM迁移技术是在局域网假设下开发的，在灾难恢复场景中不成立。因此，这项工作利用现有的基础设施和在机器可视化技术和云计算部署方面的经验来进行现实的实验，以评估现有可视化技术提供的机制的有效性，以最大限度地提高服务的可用性，并最大限度地降低在灾难期间和灾难后维护和/或恢复所有服务的成本。研究工作将在以下方面展开：-收集和分析2011年泰国洪水造成的IT服务受损的数据；-研究IT服务的性质及其基础设施设计；-研究广域环境中VM实时迁移和备份/检查点的实用性和可扩展性；以及-调查基于虚拟化的弹性中间件体系结构，以实现服务的连续性。广泛影响：该项目将促进我们对如何为保护和恢复IT基础设施提供强大的中间件的理解，这些基础设施在不同类型的灾难中表现良好。它还将告知泰国和美国的政策制定者和IT经理如何在灾难期间和灾难后发现的极端条件下评估和集成针对备份和/或恢复导向的计算系统的新兴商业虚拟化解决方案。这项研究支持一名女性少数民族少年派和一名美国研究生。该项目已提交由泰国研究基金(TRF)共同资助，如果成功，这将是NSF和TRF之间的先例伙伴关系，可能成为未来合作的典范。

Proposal #: CNS 12-40171PI(s): Matsunaga, Andrea Fortes, Jose A.Institution: University of FloridaTitle: Rapid: Enabling Continued Operation of IT Services & Infrastructures during Floods & Other DisastersProject Proposed:Thi RAPID project, studying the effectiveness of virtualized Internet data centers on improving IT service continuity during and after a disaster through virtual machines (VM) live migration and backup/checkpointing, conducts research on the use of virtualization technologies. These technologies enable mitigating and recovering from the impact of catastrophic events on IT infrastructures and the services they deliver. Working with Thammasat University in Thailand, Internet Data Centers (IDCs) will be leveraged as disaster recovering sites, where government and corporate data can be backed up and operational servers can be temporarily located in order to provide high-availability and resiliency for the organizations? operations and services.The recent catastrophic events in the 2011 Thailand flood raised a many issues in the disruption of operation and services provided by various organizations that can contribute in handling other future catastrophic events. Several research questions have arisen: The- Need to assess existing infrastructures since suitable solutions have dependencies on the type of disasters and the realities of the IT environments in the disaster locations, and - Need to address challenges when migrating VMs across geographic locations, given that existing VM migration technology have been developed with local area network assumptions that do not hold true in disaster recovery scenarios.Thus, the work leverages existing infrastructure and experience in machine visualization technologies and cloud computing deployments to conduct realistic experiments, to assess the effectiveness of mechanisms offered by existing visualization technologies to maximize the availability of services and minimize costs to maintain and/or recover all the services during and after disaster. Research efforts will be developed in the following thrusts:- Collection and analysis of data related damaged IT services due to the 2011 Thailand Flood;- Studies of the nature of the IT services and their infrastructure design;- Studies of the practicality and scalability of VM live migration and backup/checkpointing in wide-area setting; and- Investigation of virtualized-based resilient middleware architectures for service continuity.Broader Impacts: This project will advance our understanding of how to provide robust middleware for protection and recovery of IT infrastructure that performs well for different types of disasters. It will also inform policy-makers and IT managers in Thailand and the USA on how to evaluate and integrate emerging commercial virtualization solutions for backup and/or recovery-oriented computing systems under the extreme conditions found during and after a disaster. The research supports a female minority PI and a US graduate student. The project has been submitted for co-funding from the Thailand Research Fund (TRF), which, if successful, would represent a precedent-setting partnership between the NSF and TRF which could be a model for future collaboration.