The Experts below are selected from a list of 44970 Experts worldwide ranked by ideXlab platform

Kazuhide Kanenishi - One of the best experts on this subject based on the ideXlab platform.

  • disaster recovery framework for e learning environment using private cloud collaboration and emergency alerts
    International Conference on Human Interface and Management of Information, 2015
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • building of a disaster recovery framework for e learning environment using private cloud collaboration
    International Association for Development of the Information Society, 2014
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud collaboration framework for e learning environment for disaster recovery using smartphone alert notification
    International Conference on Human Interface and Management of Information, 2014
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud cooperation framework of e learning environment for disaster recovery
    Systems Man and Cybernetics, 2013
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud cooperation framework for reducing the earthquake damage on e learning environment
    International Conference on Human-Computer Interaction, 2013
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • disaster recovery framework for e learning environment using private cloud collaboration and emergency alerts
    International Conference on Human Interface and Management of Information, 2015
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • building of a disaster recovery framework for e learning environment using private cloud collaboration
    International Association for Development of the Information Society, 2014
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud collaboration framework for e learning environment for disaster recovery using smartphone alert notification
    International Conference on Human Interface and Management of Information, 2014
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud cooperation framework of e learning environment for disaster recovery
    Systems Man and Cybernetics, 2013
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

  • private cloud cooperation framework for reducing the earthquake damage on e learning environment
    International Conference on Human-Computer Interaction, 2013
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    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.

Salim El Rouayheb - One of the best experts on this subject based on the ideXlab platform.

  • private information retrieval from mds coded data in Distributed Storage Systems
    IEEE Transactions on Information Theory, 2018
    Co-Authors: Razane Tajeddine, Oliver W Gnilke, Salim El Rouayheb
    Abstract:

    The problem of providing privacy, in the private information retrieval (PIR) sense, to users requesting data from a Distributed Storage System (DSS), is considered. The DSS is coded by an $(n,k,d)$ maximum distance separable code to store the data reliably on unreliable Storage nodes. Some of these nodes can be spies which report to a third party, such as an oppressive regime, which data is being requested by the user. An information theoretic PIR scheme ensures that a user can satisfy its request while revealing no information on which data is being requested to the nodes. A user can trivially achieve PIR by downloading all the data in the DSS. However, this is not a feasible solution due to its high communication cost. We construct PIR schemes with low download communication cost. When there is $b=1$ spy node in the DSS, in other words, no collusion between the nodes, we construct PIR schemes with download cost $\frac {1}{1-R}$ per unit of requested data ( $R=k/n$ is the code rate), achieving the information theoretic limit for linear schemes. The proposed schemes are universal since they depend on the code rate, but not on the generator matrix of the code. Also, if $b\leq n-\delta k$ nodes collude, with $\delta =\lfloor {\frac {n-b}{k}}\rfloor $ , we construct linear PIR schemes with download cost $\frac {b+\delta k}{\delta }$ .

  • private information retrieval from mds coded data in Distributed Storage Systems
    arXiv: Information Theory, 2016
    Co-Authors: Razane Tajeddine, Oliver W Gnilke, Salim El Rouayheb
    Abstract:

    The problem of providing privacy, in the private information retrieval (PIR) sense, to users requesting data from a Distributed Storage System (DSS), is considered. The DSS is coded by an $(n,k,d)$ Maximum Distance Separable (MDS) code to store the data reliably on unreliable Storage nodes. Some of these nodes can be spies which report to a third party, such as an oppressive regime, which data is being requested by the user. An information theoretic PIR scheme ensures that a user can satisfy its request while revealing, to the spy nodes, no information on which data is being requested. A user can trivially achieve PIR by downloading all the data in the DSS. However, this is not a feasible solution due to its high communication cost. We construct PIR schemes with low download communication cost. When there is $b=1$ spy node in the DSS, we construct PIR schemes with download cost $\frac{1}{1-R}$ per unit of requested data ($R=k/n$ is the code rate), achieving the information theoretic limit for linear schemes. The proposed schemes are universal since they depend on the code rate, but not on the generator matrix of the code. Also, when $b\leq n-\delta k$, for some $\delta \in \mathbb{N^+}$, we construct linear PIR schemes with $cPoP = \frac{b+\delta k}{\delta}$.

Soheil Mohajer - One of the best experts on this subject based on the ideXlab platform.

  • a cascade code construction for n k d Distributed Storage Systems
    International Symposium on Information Theory, 2018
    Co-Authors: Mehran Elyasi, Soheil Mohajer
    Abstract:

    A novel class of exact-repair regenerating codes is introduced for a Distributed Storage System with arbitrary parameters $(n,\ k,\ d)$ . The proposed construction is based on the optimum determinant codes for $(n,\ k=d,\ d)$ Systems. This construction yields an achievable trade-off between the Storage and the repair bandwidth, consisting of $k$ corner points, which meets the optimum trade-off at the MBR and MSR points, and improves all the previously known bounds for interior points. The sub-packetization level of the proposed code only depends on $k$ and $d$ , but not number of nodes $n$ . Further, the required field size for the proposed code is $\Theta(n)$ . We conjecture that the proposed codes can universally achieve the optimum trade-off.

  • determinant coding a novel framework for exact repair regenerating codes
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Mehran Elyasi, Soheil Mohajer
    Abstract:

    The exact-repair regenerating codes for Distributed Storage System are studied in this work. A novel coding scheme is proposed for code construction for any $(n,k,d=k)$ System. It is shown that the proposed codes are optimum, in the sense that any operating point satisfying the lower bound for the Storage-bandwidth trade-off can be achieved with the proposed construction. As a consequence, the optimum linear trade-off of exact-regenerating System is fully characterized for any Systems with $d=k$ . The proposed codes are linear, and can be generated by multiplication of an encoder matrix with a so-called data matrix. The exact regenerating property is provided based on fundamental properties of matrix determinants, and in particular, generalized Laplace expansion for determinant. Thus the code is called determinant code . Importantly, the field size required for this code construction is $\Theta (n)$ , the total number of nodes in the System.

Hollanti Camilla - One of the best experts on this subject based on the ideXlab platform.

  • High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes
    2021
    Co-Authors: Allaix Matteo, Holzbaur Lukas, Pllaha Tefjol, Hollanti Camilla
    Abstract:

    In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a Distributed Storage System (DSS) without revealing the file identity to the servers holding the data. In the quantum PIR (QPIR) setting, a user privately retrieves a classical file by receiving quantum information from the servers. The QPIR problem has been treated by Song et al. in the case of replicated servers, both with and without collusion. QPIR over $[n,k]$ maximum distance separable (MDS) coded servers was recently considered by Allaix et al., but the collusion was essentially restricted to $t=n-k$ servers. In this paper, the QPIR setting is extended to account for more flexible collusion of servers satisfying $t < n-k+1$. Similarly to the previous cases, the rates achieved are better than those known or conjectured in the classical counterparts, as well as those of the previously proposed coded and colluding QPIR schemes. This is enabled by considering the stabilizer formalism and weakly self-dual generalized Reed--Solomon (GRS) star product codes

  • Quantum Private Information Retrieval from Coded and Colluding Servers
    2020
    Co-Authors: Allaix Matteo, Holzbaur Lukas, Pllaha Tefjol, Hollanti Camilla
    Abstract:

    In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a Distributed Storage System (DSS) without revealing the file identity to the servers holding the data. In the quantum PIR (QPIR) setting, a user privately retrieves a classical file by receiving quantum information from the servers. The QPIR problem has been treated by Song \emph{et al.} in the case of replicated servers, both without collusion and with all but one servers colluding. In this paper, the QPIR setting is extended to account for maximum distance separable (MDS) coded servers. The proposed protocol works for any $[n,k]$-MDS code and $t$-collusion with $t=n-k$. Similarly to the previous cases, the rates achieved are better than those known or conjectured in the classical counterparts. Further, it is demonstrated how the protocol can adapted to achieve significantly higher retrieval rates from DSSs encoded with a locally repairable code (LRC) with disjoint repair groups, each of which is an MDS code

  • Private Information Retrieval over Random Linear Networks
    2019
    Co-Authors: Tajeddine Razane, Wachter-zeh Antonia, Hollanti Camilla
    Abstract:

    In this paper, the problem of providing privacy to users requesting data over a network from a Distributed Storage System (DSS) is considered. The DSS, which is considered as the multi-terminal destination of the network from the user's perspective, is encoded by a maximum rank distance (MRD) code to store the data on these multiple servers. A private information retrieval (PIR) scheme ensures that a user can request a file without revealing any information on which file is being requested to any of the servers. In this paper, a novel PIR scheme is proposed, allowing the user to recover a file from a Storage System with low communication cost, while allowing some servers in the System to collude in the quest of revealing the identity of the requested file. The network is modeled as a random linear network, i.e., all nodes of the network forward random (unknown) linear combinations of incoming packets. Both error-free and erroneous random linear networks are considered

  • Private Information Retrieval over Random Linear Networks
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Tajeddine Razane, Wachter-zeh Antonia, Hollanti Camilla
    Abstract:

    In this paper, the problem of providing privacy to users requesting data over a network from a Distributed Storage System (DSS) is considered. The DSS, which is considered as the multi-terminal destination of the network from the user’s perspective, is encoded by a maximum rank distance (MRD) code to store the data on these multiple servers. A private information retrieval (PIR) scheme ensures that a user can request a file without revealing any information on which file is being requested to any of the servers. In this paper, a novel PIR scheme is proposed, allowing the user to recover a file from a Storage System with low communication cost, while allowing some servers in the System to collude in the quest of revealing the identity of the requested file. The network is modeled as a random linear network, i.e., all nodes of the network forward random (unknown) linear combinations of incoming packets. Both error-free and erroneous random linear networks are considered.Peer reviewe