Relevant bibliographies by topics / Distributed storage networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distributed storage networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Distributed storage networks"

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Chockler, Gregory, Seth Gilbert, Vincent Gramoli, Peter M. Musial, and Alex A. Shvartsman. "Reconfigurable distributed storage for dynamic networks." Journal of Parallel and Distributed Computing 69, no. 1 (January 2009): 100–116. http://dx.doi.org/10.1016/j.jpdc.2008.07.007.

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Georgiou, Constantinos, Evangelos Kranakis, Ricardo Marceí-n-Jiménez, Sergio Rajsbaum, and Jorge Urrutia. "Distributed Dynamic Storage in Wireless Networks." International Journal of Distributed Sensor Networks 1, no. 3-4 (July 1, 2005): 355–71. http://dx.doi.org/10.1080/15501320500330695.

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This paper assumes a set of identical wireless hosts, each one aware of its location. The network is described by a unit distance graph whose vertices are points on the plane two of which are connected if their distance is at most one. The goal of this paper is to design local distributed solutions that require a constant number of communication rounds, independently of the network size or diameter. This is achieved through a combination of distributed computing and computational complexity tools. Starting with a unit distance graph, the paper shows: 1. How to extract a triangulated planar spanner; 2. Several algorithms are proposed to construct spanning trees of the triangulation. Also, it is described how to construct three spanning trees of the Delaunay triangulation having pairwise empty intersection, with high probability. These algorithms are interesting in their own right, since trees are a popular structure used by many network algorithms; 3. A load balanced distributed storage strategy on top of the trees is presented, that spreads replicas of data stored in the hosts in a way that the difference between the number of replicas stored by any two hosts is small. Each of the algorithms presented is local, and hence so is the final distributed storage solution, obtained by composing all of them. This implies that the solution adapts very quickly, in constant time, to network topology changes. We present a thorough experimental evaluation of each of the algorithms supporting our claims.
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Tebbi, Ali, Terence H. Chan, and Chi Wan Sung. "Multi-Rack Distributed Data Storage Networks." IEEE Transactions on Information Theory 65, no. 10 (October 2019): 6072–88. http://dx.doi.org/10.1109/tit.2019.2927565.

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Dini, Gianluca, and Lanfranco Lopriore. "Distributed storage protection in wireless sensor networks." Journal of Systems Architecture 61, no. 5-6 (May 2015): 256–66. http://dx.doi.org/10.1016/j.sysarc.2015.03.002.

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Weimin, Gao, and Zhu Lingzhi. "Distributed Data Storage in Wireless Sensor Networks." International Journal of Database Theory and Application 8, no. 4 (August 30, 2015): 179–82. http://dx.doi.org/10.14257/ijdta.2015.8.4.18.

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Jepson, T. C. "The basics of reliable distributed storage networks." IT Professional 6, no. 3 (May 2004): 18–24. http://dx.doi.org/10.1109/mitp.2004.23.

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Iosifidis, George, Iordanis Koutsopoulos, and Georgios Smaragdakis. "Distributed Storage Control Algorithms for Dynamic Networks." IEEE/ACM Transactions on Networking 25, no. 3 (June 2017): 1359–72. http://dx.doi.org/10.1109/tnet.2016.2633370.

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Zhang, Song-juan, and Jian Yang. "Distributed Data Storage Strategy in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 11 (November 24, 2016): 52. http://dx.doi.org/10.3991/ijoe.v12i11.6238.

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In order to solve the problem of large scalability and low energy efficiency in distributed data storage in wireless sensor networks, the author proposed a temporal-centric storage approach method. By using this method the sensing data are stored in some storage node indexed by a hash function parameterized with detecting time. These nodes act as rendezvous among sink and source nodes. Simulation results show that the proposed approach mitigates the hot-spot problem and can thus improve overall system performance substantially.
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Liu, Yi. "A Distributed Data Storage Method Based on Integrated Threshold." Advanced Materials Research 268-270 (July 2011): 595–600. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.595.

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Based on the analysis and study of the data storage strategy in wireless sensor networks, this paper presents a distributed data storage method based on sleep scheduling to resolve the problems of network imbalance and storage hot spots problems.Finally, multi group analysis of simulate experiments results show that compared to other data storage method the distributed data storage method based on composite threshold have obviously advantages on the sides of overall energy consumption,data storage capacity,the number of failure node and data quality,thus have a significant effect on reducing energy consumption and extending network life cycle.
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Gong, Chen, and Xiaodong Wang. "On Partial Downloading for Wireless Distributed Storage Networks." IEEE Transactions on Signal Processing 60, no. 6 (June 2012): 3278–88. http://dx.doi.org/10.1109/tsp.2012.2189112.

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Dissertations / Theses on the topic "Distributed storage networks"

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Silva, Tarciana Dias da. "DDAN: A distributed directory for ambient networks." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/2130.

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Dias da Silva, Tarciana; Fawzi Hadj Sadok, Djamel. DDAN: A distributed directory for ambient networks. 2008. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2008.
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Li, Xiaodong. "RDSS ; a reliable and efficient distributed storage system." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1103127547.

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Tauber, Markus. "Autonomic management in a distributed storage system." Thesis, St Andrews, 2010. http://hdl.handle.net/10023/926.

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Kanjani, Khushboo. "Supporting fault-tolerant communication in networks." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3118.

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Ten, Chui Fen. "Loss of mains detection and amelioration on electrical distribution networks." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/loss-of-mains-detection-and-amelioration-on-electrical-distribution-networks(b7680a62-7caa-4fd3-89d4-d45e649f8ef9).html.

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Power system islanding is gaining increasing interest as a way to maintain power supply continuity. However, before this operation become viable, the technical challenges associated with its operation must first be addressed. A possible solution to one of these challenges, out-of synchronism reclosure, is by running the islanded system in synchronism with the mains whilst not being electrically connected. This concept, known as 'synchronous islanded operation' avoids the danger of out-of-synchronism reclosure of the islanded system onto the mains. The research in this thesis was based on the concepts presented in [1-3] and specifically applied to multiple-DG island scenarios. The additional control challenges associated with this scenario are identified and an appropriate control scheme, more suited for the operation of multiple-DG synchronous islands, is proposed. The results suggest that multiple-DG synchronous islanded operation is feasible, but a supervisory controller is necessary to facilitate the information exchange within the islanded system and enable stable operation.For maximum flexibility, the synchronous island must be capable of operating with a diversity of generation. The difficulties become further complicated when some or all of the generation consists of intermittent sources. The performance of the proposed control scheme in the presence of a significant contribution of renewable sources within the island is investigated. Two types of wind technologies were developed in PSCAD/EMTDC for this purpose, they are a fixed speed induction generator (FSIG) based wind farm and a doubly-fed induction generator (DFIG) based wind farm. The results show that although synchronous islanded operation is still achievable, the intermittent output has an adverse effect on the control performance, and in particular limits the magnitude of disturbances that can happen in the island without going beyond the relaxed synchronisation limits of ±60o.Energy storage is proposed as a way to reduce the wind farm power variation and improve phase controller response. A supplementary control is also proposed such that DFIG contributes to the inertial response. The potential of the proposed scheme (energy storage + supplementary control) is evaluated using case studies. The results show massive improvement to the load acceptance limits, even beyond the case where no wind farm is connected. The benefit of the proposed scheme is even more apparent as the share of wind generated energy in the island grows.
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Pagonis, Meletios. "Electrical power aspects of distributed propulsion systems in turbo-electric powered aircraft." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/9873.

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The aerospace industry is currently looking at options for fulfilling the technological development targets set for the next aircraft generations. Conventional engines and aircraft architectures are now at a maturity level which makes the realisation of these targets extremely problematic. Radical solutions seem to be necessary and Electric Distributed Propulsion is the most promising concept for future aviation. Several studies showed that the viability of this novel concept depends on the implementation of a superconducting power network. The particularities of a superconducting power network are described in this study where novel components and new design conditions of these networks are highlighted. Simulink models to estimate the weight of fully superconducting machines have been developed in this research work producing a relatively conservative prediction model compared to the NASA figures which are the only reference available in the literature. A conceptual aircraft design architecture implementing a superconducting secondary electrical power system is also proposed. Depending on the size of the aircraft, and hence the electric load demand, the proposed superconducting architecture proved to be up to three times lighter than the current more electric configurations. The selection of such a configuration will also align with the general tendency towards a superconducting network for the proposed electric distributed propulsion concept. In addition, the hybrid nature of these configurations has also been explored and the potential enhanced role of energy storage mechanisms has been further investigated leading to almost weight neutral but far more flexible aircraft solutions. For the forecast timeframe battery technology seems the only viable choice in terms of energy storage options. The anticipated weight of the Lithium sulphur technology is the most promising for the proposed architectures and for the timeframe under investigation. The whole study is based on products and technologies which are expected to be available on the 2035 timeframe. However, future radical changes in energy storage technologies may be possible but the approach used in this study can be readily adapted to meet such changes.
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Sun, Wei. "Maximising renewable hosting capacity in electricity networks." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10483.

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The electricity network is undergoing significant changes in the transition to a low carbon system. The growth of renewable distributed generation (DG) creates a number of technical and economic challenges in the electricity network. While the development of the smart grid promises alternative ways to manage network constraints, their impact on the ability of the network to accommodate DG – the ‘hosting capacity’- is not fully understood. It is of significance for both DNOs and DGs developers to quantify the hosting capacity according to given technical or commercial objectives while subject to a set of predefined limits. The combinational nature of the hosting capacity problem, together with the intermittent nature of renewable generation and the complex actions of smart control systems, means evaluation of hosting capacity requires appropriate optimisation techniques. This thesis extends the knowledge of hosting capacity. Three specific but related areas are examined to fill the gaps identified in existing knowledge. New evaluation methods are developed that allow the study of hosting capacity (1) under different curtailment priority rules, (2) with harmonic distortion limits, and (3) alongside energy storage systems. These works together improve DG planning in two directions: demonstrating the benefit provided by a range of smart grid solutions; and evaluating extensive impacts to ensure compliance with all relevant planning standards and grid codes. As an outcome, the methods developed can help both DNOs and DG developers make sound and practical decisions, facilitating the integration of renewable DG in a more cost-effective way.
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Zhang, Gong. "Data and application migration in cloud based data centers --architectures and techniques." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41078.

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Computing and communication have continued to impact on the way we run business, the way we learn, and the way we live. The rapid technology evolution of computing has also expedited the growth of digital data, the workload of services, and the complexity of applications. Today, the cost of managing storage hardware ranges from two to ten times the acquisition cost of the storage hardware. We see an increasing demand on technologies for transferring management burden from humans to software. Data migration and application migration are one of popular technologies that enable computing and data storage management to be autonomic and self-managing. In this dissertation, we examine important issues in designing and developing scalable architectures and techniques for efficient and effective data migration and application migration. The first contribution we have made is to investigate the opportunity of automated data migration across multi-tier storage systems. The significant IO improvement in Solid State Disks (SSD) over traditional rotational hard disks (HDD) motivates the integration of SSD into existing storage hierarchy for enhanced performance. We developed adaptive look-ahead data migration approach to effectively integrate SSD into the multi-tiered storage architecture. When using the fast and expensive SSD tier to store the high temperature data (hot data) while placing the relatively low temperature data (low data) in the HDD tier, one of the important functionality is to manage the migration of data as their access patterns are changed from hot to cold and vice versa. For example, workloads during day time in typical banking applications can be dramatically different from those during night time. We designed and implemented an adaptive lookahead data migration model. A unique feature of our automated migration approach is its ability to dynamically adapt the data migration schedule to achieve the optimal migration effectiveness by taking into account of application specific characteristics and I/O profiles as well as workload deadlines. Our experiments running over the real system trace show that the basic look-ahead data migration model is effective in improving system resource utilization and the adaptive look-ahead migration model is more efficient for continuously improving and tuning of the performance and scalability of multi-tier storage systems. The second main contribution we have made in this dissertation research is to address the challenge of ensuring reliability and balancing loads across a network of computing nodes, managed in a decentralized service computing system. Considering providing location based services for geographically distributed mobile users, the continuous and massive service request workloads pose significant technical challenges for the system to guarantee scalable and reliable service provision. We design and develop a decentralized service computing architecture, called Reliable GeoGrid, with two unique features. First, we develop a distributed workload migration scheme with controlled replication, which utilizes a shortcut-based optimization to increase the resilience of the system against various node failures and network partition failures. Second, we devise a dynamic load balancing technique to scale the system in anticipation of unexpected workload changes. Our experimental results show that the Reliable GeoGrid architecture is highly scalable under changing service workloads with moving hotspots and highly reliable in the presence of massive node failures. The third research thrust in this dissertation research is focused on study the process of migrating applications from local physical data centers to Cloud. We design migration experiments and study the error types and further build the error model. Based on the analysis and observations in migration experiments, we propose the CloudMig system which provides both configuration validation and installation automation which effectively reduces the configuration errors and installation complexity. In this dissertation, I will provide an in-depth discussion of the principles of migration and its applications in improving data storage performance, balancing service workloads and adapting to cloud platform.
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Nae, Yakov. "Modelo distribuído para agregação de armazenamento em redes de sensores sem fio=Distributed model for storage aggregation in wireless sensor networks." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260109.

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Orientador: Lee Luan Ling
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Gerência de armazenamento em Redes de Sensores Sem Fio (RSSF) é uma questão muito crítica. Além da RSSFs conter uma vasta quantidade de armazenamento agregada, ela não pode ser usada inteiramente. Portanto, o sistema inteiro falha quando o primeiro sensor tem sua capacidade de armazenamento esgotada, deixando uma grande capacidade de armazenamento inutilizada. Sugere-se que os sensores devem-se ser capazes de detectar as capacidades de armazenamentos inutilizadas, para prolongar as suas funcionalidades. Entretanto, em RSSF de larga escala isso pode ser muito difícil uma vez que os sensores podem não ter conhecimento da existência dos outros. Neste trabalho apresenta-se duas principais contribuições: otimização da capacidade total de armazenamento para RSSF em grande escala e uma nova abordagem de roteamento - Deterministic "Random" Walk (Passeio "Aleatório" Determinístico). Apresenta-se um novo modelo de armazenamento via construção "sob demanda" de Cadeias de Armazenamento Distribuídas ( Distributed Storage Chains (DSC). Estas cadeias representam parcerias entrem os sensores que podem compartilhar suas capacidades de armazenamento. Resultando, os sensores não estão sujeitos às suas limitações de armazenamento, mas para à capacidade total de armazenamento disponível no sistema. Constrói-se estas cadeia via passeio determinístico sobre a topologia sugerida. Todavia, mostra-se que estes passeios apresentam um comportamento aleatório que é muito eficiente em termos de localização de capacidade de armazenamento disponível
Abstract: Storage management of Wireless Sensor Networks (WSN) is a very critical issue in terms of system's lifetime. While WSNs host a vast storage capacity on the aggregate, that capacity cannot be used entirely. Eventually, the entire network may fail when the first sensor has its own storage capacity depleted, leaving behind a large amount of unutilized storage capacity. We suggest that sensors should be able to detect unutilized storage capacity in order to prolong their functionality. However, for large scale WSNs this can be a difficult task, since sensors may not be aware of the existence of others. This work has two main contributions: an optimization of the overall storage capacity for large scale WSNs and a novel routing approach of deterministic "random" walk. We present a new storage model by building "on - demand" Distributed Storage Chains (DSC). These chains represent partnership between sensors that share their storage capacity. As a result, sensors are no longer subjected to their own storage limitations but to the total amount of available storage in the WSN. We construct these chains via deterministic walks over our suggested topology. However, we show that these walks resemble the behavior of random walks and are therefore highly efficient in terms of locating available storage
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
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Conte, Simone Ivan. "The Sea of Stuff : a model to manage shared mutable data in a distributed environment." Thesis, University of St Andrews, 2019. http://hdl.handle.net/10023/16827.

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Managing data is one of the main challenges in distributed systems and computer science in general. Data is created, shared, and managed across heterogeneous distributed systems of users, services, applications, and devices without a clear and comprehensive data model. This technological fragmentation and lack of a common data model result in a poor understanding of what data is, how it evolves over time, how it should be managed in a distributed system, and how it should be protected and shared. From a user perspective, for example, backing up data over multiple devices is a hard and error-prone process, or synchronising data with a cloud storage service can result in conflicts and unpredictable behaviours. This thesis identifies three challenges in data management: (1) how to extend the current data abstractions so that content, for example, is accessible irrespective of its location, versionable, and easy to distribute; (2) how to enable transparent data storage relative to locations, users, applications, and services; and (3) how to allow data owners to protect data against malicious users and automatically control content over a distributed system. These challenges are studied in detail in relation to the current state of the art and addressed throughout the rest of the thesis. The artefact of this work is the Sea of Stuff (SOS), a generic data model of immutable self-describing location-independent entities that allow the construction of a distributed system where data is accessible and organised irrespective of its location, easy to protect, and can be automatically managed according to a set of user-defined rules. The evaluation of this thesis demonstrates the viability of the SOS model for managing data in a distributed system and using user-defined rules to automatically manage data across multiple nodes.
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Books on the topic "Distributed storage networks"

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Jepsen, Thomas C. Distributed Storage Networks. New York: John Wiley & Sons, Ltd., 2005.

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Jepsen, Thomas C. Distributed Storage Networks. West Sussex, England: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/9780470871461.

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Distributed storage networks: Architecture, protocols, and management. Chichester: Wiley, 2003.

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Ahamad, Mustaque. Multicast communication in distributed systems. Los Alamitos, Calif: IEEE Computer Society Press, 1990.

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Networking for big data. Boca Raton: CRC Press, Taylor & Francis Group, 2016.

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R, Matthews Joseph, ed. Library information systems: From library automation to distributed information access solutions. Westport, Conn: Libraries Unlimited, 2002.

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Nagamalai, Dhinaharan. Advances in Parallel Distributed Computing: First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, India, September 23-25, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Grigor'ev, Anatoliy, Evgeniy Isaev, and Pavel Tarasov. Transfer, storage and processing of large volumes of scientific data. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1073525.

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The textbook examines large scientific projects and the amount of data generated by them, and provides an overview of scientific computer networks that allow high-speed transmission of large amounts of data for these projects. The article considers the computing systems offered by the leading manufacturers of computer equipment for processing large amounts of data and providing both the possibilities of storing large amounts of data, including distributed data, and the means of analytics and parallel data processing in real time. Special attention is paid to the security of the transmitted scientific information. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of technical specialties of bachelor's degree, master's degree, specialty, studying in the areas of "Applied Mathematics and Computer Science", "Business Computer Science" and "Computer Science and Computer Engineering".
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Kumar, Madria Sanjay, ed. Distributed computing and internet technology: Third international conference, ICDCIT 2006, Bhubaneswar, India, December 20-23, 2006 : proceedings. Berlin: Springer, 2006.

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Adegboyega, Ojo, and SpringerLink (Online service), eds. Distributed Computing and Internet Technology: 7th International Conference, ICDCIT 2011, Bhubaneshwar, India, February 9-12, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Book chapters on the topic "Distributed storage networks"

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Jepsen, Thomas C. "Storage Over IP." In Distributed Storage Networks, 205–28. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch8.

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Jepsen, Thomas C. "Storage Management Requirements." In Distributed Storage Networks, 229–46. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch9.

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Jepsen, Thomas C. "Introduction to Storage Networking." In Distributed Storage Networks, 1–22. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch1.

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Jepsen, Thomas C. "Security Considerations." In Distributed Storage Networks, 247–65. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch10.

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Jepsen, Thomas C. "Planning Distributed Storage Networks." In Distributed Storage Networks, 267–82. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch11.

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Jepsen, Thomas C. "Glossary of Terms." In Distributed Storage Networks, 283–97. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch12.

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Jepsen, Thomas C. "Applications for Distributed Storage Networking." In Distributed Storage Networks, 23–35. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch2.

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Jepsen, Thomas C. "Distance Considerations for Storage Networks." In Distributed Storage Networks, 37–50. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch3.

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Jepsen, Thomas C. "Architectures for Distributed Storage Networking." In Distributed Storage Networks, 51–57. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch4.

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Jepsen, Thomas C. "Protocols for Distributed Storage Networking." In Distributed Storage Networks, 59–157. West Sussex, England: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9780470871461.ch5.

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Conference papers on the topic "Distributed storage networks"

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Al-Habob, Ahmed A., Sameh Sorour, Neda Aboutorab, and Parastoo Sadeghi. "Conflict free network coding for distributed storage networks." In 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7249201.

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Morariu, Cristian, Thierry Kramis, and Burkhard Stiller. "DIPStorage: Distributed storage of IP flow records." In Metropolitan Area Networks (LANMAN). IEEE, 2008. http://dx.doi.org/10.1109/lanman.2008.4675853.

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Sardari, Mohsen, Ricardo Restrepo, Faramarz Fekri, and Emina Soljanin. "Memory allocation in distributed storage networks." In 2010 IEEE International Symposium on Information Theory - ISIT. IEEE, 2010. http://dx.doi.org/10.1109/isit.2010.5513356.

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El Rouayheb, Salim, Sreechakra Goparaju, Han Mao Kiah, and Olgica Milenkovic. "Synchronizing edits in distributed storage networks." In 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282700.

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Kruglik, Stanislav. "Security Issues in Distributed Storage Networks." In 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2020. http://dx.doi.org/10.1109/wowmom49955.2020.00024.

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Qin, Junjie, Sen Li, Kameshwar Poolla, and Pravin Varaiya. "Distributed Storage Investment in Power Networks." In 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814777.

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Hou, Hanxu, and Yunghsiang S. Han. "BASIC Codes for Distributed Storage Systems." In 2017 26th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2017. http://dx.doi.org/10.1109/icccn.2017.8038430.

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Kokoulin, Andrew N. "Distributed storage approach in content delivery networks." In 2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2016. http://dx.doi.org/10.1109/apeie.2016.7806398.

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Xianjun Yang, Eryk Dutkiewicz, Qimei Cui, Xiaofeng Tao, Y. Jay Guo, and Xiaojing Huang. "Compressed Network Coding for Distributed Storage in Wireless Sensor Networks." In 2012 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2012. http://dx.doi.org/10.1109/iscit.2012.6381014.

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Du, Jingzhe, Evangelos Kranakis, and Amiya Nayak. "Distributed storage in Disruption Tolerant Network." In 2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2010. http://dx.doi.org/10.1109/wowmom.2010.5534948.

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Reports on the topic "Distributed storage networks"

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Tierney, B. L., J. R. Lee, W. E. Johnston, B. Crowley, and M. Holding. A Network-Aware Distributed Storage Cache for Data Intensive Environments. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/764335.

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Lamaison, Nicolas. ENRSIM Software. IEA SHC Task 55, February 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0003.

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Abstract:
Due to their ability to distribute large amounts of renewable energy, District Heating Networks (DHN) are expected to exhibit a considerable development in the coming years. The ENRSIM software, cofounded by the French Renewable Energy Agency (ADEME), aims at providing a simple tool to size DHN production plants with renewable production units and storage.
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Livny, Miron. Final Report for DE-SC0002298 Agency Number: DE-PS02-09ER09-01 An Advanced Network and distributed Storage Laboratory (ANDSL) for Data Intensive Science. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1149707.

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