The Experts below are selected from a list of 16851 Experts worldwide ranked by ideXlab platform
Kazuhide Kanenishi - One of the best experts on this subject based on the ideXlab platform.
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disaster recovery framework for e learning environment using Private Cloud collaboration and emergency alerts
International Conference on Human Interface and Management of Information, 2015Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake, tsunami disaster and a heavy floods for e-Learning environment. Especially, our proposed framework is based on Private Cloud collaboration. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics on each site such as several universities. These Private Cloud fabric; that is handled almost like same block device. For LMS (Learning Management System) to work, we need to boot up virtual machines which installed LMS. The virtual disk images of each virtual machines are stored into the distributed storage system. The distributed storage system will be able to keep running as a large block device. We can control the virtual machine’s status and virtual machines positioning on the Private Cloud fabrics by the Private Cloud collaboration controller related with the emergency alert via smart phone. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework. And, we show the experimental results on the prototype system.
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building of a disaster recovery framework for e learning environment using Private Cloud collaboration
International Association for Development of the Information Society, 2014Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake, tsunami disaster and a heavy floods for e-Learning environment. Especially, our proposed framework is based on Private Cloud collaboration. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics. These Private Cloud fabrics are operated as a large Private Cloud fabric. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device. For LMS (Learning Management System) to work, we need to boot up virtual machines which installed LMS. The virtual disk images of each virtual machines are stored into the distributed storage system. The distributed storage system will be able to keep running as a large file system. We can control the virtual machines’ status and virtual machines positioning on the Private Cloud fabrics by the Private Cloud collaboration controller with a smartphone communication. The Private Cloud collaboration controller is able to grasp disaster alert notifications. The disaster alert notification can be caught by a cellphone carrier via smartphone function. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework. And next, we show the experimental results on the prototype configuration.
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Private Cloud collaboration framework for e learning environment for disaster recovery using smartphone alert notification
International Conference on Human Interface and Management of Information, 2014Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud computing fabrics. These Private Cloud fabrics are constructed to operate one large Private Cloud fabric under the VPN connection. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device such as one file system. For LMS (Learning Management System) to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any disasters. The disaster alert such as Earthquake Early Warning can be caught by usual smartphone. And we control virtual machines status and virtual machines positioning on the Private Cloud fabrics by caught disaster alert notifications. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework and the experimental results on the prototype configuration.
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Private Cloud cooperation framework of e learning environment for disaster recovery
Systems Man and Cybernetics, 2013Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud computing fabrics. These Private Cloud fabrics are constructed to operate one large Private Cloud fabric under the VPN connection. The distributed storage system builds on each Private Cloud fabric, that is handled almost like same block device such as one large file system. For LMS (Learning Management System) to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any troubles. We think that our inter-Cloud framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our inter-Cloud cooperation framework and the experimental results on the prototype configuration.
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Private Cloud cooperation framework for reducing the earthquake damage on e learning environment
International Conference on Human-Computer Interaction, 2013Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of reducing earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device such as one large file system. For LMS to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any troubles. We think that our inter-Cloud framework can continue working for e-Learning environment under the post-disaster situation.
Satoshi Togawa - One of the best experts on this subject based on the ideXlab platform.
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disaster recovery framework for e learning environment using Private Cloud collaboration and emergency alerts
International Conference on Human Interface and Management of Information, 2015Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake, tsunami disaster and a heavy floods for e-Learning environment. Especially, our proposed framework is based on Private Cloud collaboration. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics on each site such as several universities. These Private Cloud fabric; that is handled almost like same block device. For LMS (Learning Management System) to work, we need to boot up virtual machines which installed LMS. The virtual disk images of each virtual machines are stored into the distributed storage system. The distributed storage system will be able to keep running as a large block device. We can control the virtual machine’s status and virtual machines positioning on the Private Cloud fabrics by the Private Cloud collaboration controller related with the emergency alert via smart phone. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework. And, we show the experimental results on the prototype system.
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building of a disaster recovery framework for e learning environment using Private Cloud collaboration
International Association for Development of the Information Society, 2014Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake, tsunami disaster and a heavy floods for e-Learning environment. Especially, our proposed framework is based on Private Cloud collaboration. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics. These Private Cloud fabrics are operated as a large Private Cloud fabric. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device. For LMS (Learning Management System) to work, we need to boot up virtual machines which installed LMS. The virtual disk images of each virtual machines are stored into the distributed storage system. The distributed storage system will be able to keep running as a large file system. We can control the virtual machines’ status and virtual machines positioning on the Private Cloud fabrics by the Private Cloud collaboration controller with a smartphone communication. The Private Cloud collaboration controller is able to grasp disaster alert notifications. The disaster alert notification can be caught by a cellphone carrier via smartphone function. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework. And next, we show the experimental results on the prototype configuration.
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Private Cloud collaboration framework for e learning environment for disaster recovery using smartphone alert notification
International Conference on Human Interface and Management of Information, 2014Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud computing fabrics. These Private Cloud fabrics are constructed to operate one large Private Cloud fabric under the VPN connection. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device such as one file system. For LMS (Learning Management System) to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any disasters. The disaster alert such as Earthquake Early Warning can be caught by usual smartphone. And we control virtual machines status and virtual machines positioning on the Private Cloud fabrics by caught disaster alert notifications. We think that our Private Cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our Private Cloud collaboration framework and the experimental results on the prototype configuration.
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Private Cloud cooperation framework of e learning environment for disaster recovery
Systems Man and Cybernetics, 2013Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of disaster recovery such as against earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud computing fabrics. These Private Cloud fabrics are constructed to operate one large Private Cloud fabric under the VPN connection. The distributed storage system builds on each Private Cloud fabric, that is handled almost like same block device such as one large file system. For LMS (Learning Management System) to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any troubles. We think that our inter-Cloud framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our inter-Cloud cooperation framework and the experimental results on the prototype configuration.
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Private Cloud cooperation framework for reducing the earthquake damage on e learning environment
International Conference on Human-Computer Interaction, 2013Co-Authors: Satoshi Togawa, Kazuhide KanenishiAbstract:In this research, we have built a framework of reducing earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several Private Cloud fabrics. The distributed storage system builds on each Private Cloud fabric; that is handled almost like same block device such as one large file system. For LMS to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some Private Cloud fabric does not work by any troubles. We think that our inter-Cloud framework can continue working for e-Learning environment under the post-disaster situation.
D U Yihua - One of the best experts on this subject based on the ideXlab platform.
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Private Cloud apcs platform design based on virtualization technology
Computer Engineering, 2012Co-Authors: Sheng Xianfeng, J I Junchuan, Zhou Xiaojun, Jiao Wenbin, D U YihuaAbstract:In order to improve hardware resources utilization and system maintenance efficiency of the distributed management information system,and provide application system service on demand for business users,this paper puts forward a solution based on virtualization technology ARP Private Cloud Services(APCS).The ARP Cloud Services Infrastructure Platform(ACSIP) realizes the integration and utilization of hardware resources,and improves the system resources utilization,guarantees the continuity of business system,provides dynamic configuration of the application services.The ARP Cloud Services Management Platform(ACSMP) realizes the dynamic management of distribution system resources,centralized maintenance management,monitoring management and safety management.
Xu Zhou - One of the best experts on this subject based on the ideXlab platform.
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a big data on Private Cloud agile provisioning framework based on openstack
International Conference on Cloud Computing, 2018Co-Authors: Ming Lu, Xu ZhouAbstract:On the bases of the OpenStack Private Cloud delivery big data platform, numerous entities yearn for attaining agile and standardized big data delivery platform, reclaiming the resources, managing the total cost of ownership (TCO) and adapting to multiple big data open source or commercial off-the-shelf (COTS) solutions. Nevertheless, as regards the big data platform running on Cloud computing, the big data platform is disintegrated from the Cloud computing system by virtual machines since neither being based on OpenStack Private Cloud nor on big data platform can achieve end-to-end resource delivery, together with ensuring that it is quite convenient for the long-term operations. Accordingly, establishing an across framework between Private Cloud and big data platform is quite essential. The big data on Cloud agile provision framework could realize fast resource delivery based on predefined orchestration template of Private Cloud, operating system, big data platform, monitor, inspection system, etc. Through the deployment of this framework, it is capable of attaining the delivery of agile, low cost, standardized and high adaptability the big data on Cloud, as well as the high-quality operation of the big data on Cloud with the help of integration configuration management database (CMDB) with the automatic inspection system.
Jian-cheng Tan - One of the best experts on this subject based on the ideXlab platform.
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virtual Private Cloud based power dispatching automation system architecture and application
IEEE Transactions on Industrial Informatics, 2019Co-Authors: Dongxu Yang, Hua Wei, Yun Zhu, Jian-cheng TanAbstract:This paper presents the framework of a power-dispatching automation system (PDAS) based on a virtual Private Cloud, which extracts advantages of technologies, such as a virtual Private Cloud, a virtual Private network, an https protocol, etc. Unlike existing on-premise or public Cloud hosted PDASs that are vulnerable and may be subject to blackouts due to extreme conditions, such as natural disasters or cyberattacks, the proposed framework operates more safely and securely under those conditions, while at the same time meeting the reliability requirements for power systems as well. This paper presents the theory, architectural design, characteristics, and implementation process of the system, as well as its reliability and cyber security measurements. The annual failure time of the proposed system is reduced from 61.2 to about 0.43 min, about 142 times less than those of existing PDASs. This framework has been implemented in the Lipu power system in China since May 2016. Results show that the proposed system is reliable, safe, and cost-effective, with a bright prospect for future applications.
