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Journal articles on the topic 'Distributed Storage Server (DSS)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Shubham, Pote1 Vipul Jain2 Rutuja Shinde3 Prasanna Paigude4 Prof.Deepali Ahir 5. "OPOR: PROOF OF RETRIEVABILITY IN CLOUD COMPUTING WITH RECOVERY AND REMOTE INTEGRITY CHECK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 6 (2017): 58–65. https://doi.org/10.5281/zenodo.802818.

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Cloud computing is popular ,and adopted because there is many security and privacy. A issue found in cloud storage is, when client out-source data to the cloud storage, the clients don’t know that their data is damaged or not. Also the computational burden is too high. To tackle the issue, OPoR, another distributed storage method including a distributed storage server (DSS) and a TPA is proposed here. TPA is thought to be semi-legitimate. Specifically, we consider the assignment of permitting the TPA for the cloud clients, to pre-process the information before transferring to the DSS and later

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Wunarso, Novita Belinda, Andrias Rusli, Michelle Angelica, and Arabella Margaret Salim. "Implementasi Distributed File Server pada Apache Web Server." Jurnal ULTIMA InfoSys 4, no. 2 (2013): 84–88. http://dx.doi.org/10.31937/si.v4i2.245.

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In this research, a Distributed File Server (DFS) is developed to manage the need of a large storage space in the server, especially when the multimedia files are saved permanently in the web server. In the development, Apache Web Server is used with 1 computer as the main server, 2 computers as file servers, and 1 computer as the client who sends request. The result from the implementation of the DFS is the usage of main server’s storage space can be reduced by 99,77% from the full usage condition, causing an optimization in the web server. Another parameter is also being tested by the implem

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Al-Janabi, Sufyan T., Ali J. Dawood, and Abeer Dawood Salman. "Enhancing the Security and Privacy of WBAN-Based Distributed Storage Systems." Journal of University of Human Development 1, no. 2 (2015): 288. http://dx.doi.org/10.21928/juhd.v1n2y2015.pp288-294.

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The sensors of a Wireless Body Area Network (WBAN) that are spread inside and outside of a human body collect medical information and transfer it into the back-end server that is managed by the hospital or medical center; where the professionals analyze this data. This server is considered a very critical device because it has sensitive information. Therefore, the security and privacy of that server must be defended. Networked storage systems have become an efficient way to use in WBAN. It can be divided into two types: Centralized storage systems and Distributed Storage Systems (DSSs). Storin

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Akbar, Hawwin Purnama, Achmad Basuki, and Eko Setiawan. "Peningkatan Utilisasi Jaringan Distributed Storage System Menggunakan Kombinasi Server dan Link Load Balancing." Jurnal Teknologi Informasi dan Ilmu Komputer 8, no. 3 (2021): 525. http://dx.doi.org/10.25126/jtiik.2021834294.

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<p><em>Distributed Storage System </em>(DSS) memiliki sejumlah perangkat server penyimpanan yang terhubung dengan banyak perangkat <em>switch</em> untuk meningkatkan utilisasi jaringan. DSS harus memperhatikan keseimbangan beban pada sisi server penyimpanan dan trafik data pada semua jalur yang terhubung. Jika beban pada sisi server penyimpanan dan trafik data tidak seimbang, maka dapat menyebabkan <em>bottleneck network</em> yang menurunkan utilisasi jaringan. Kombinasi <em>server</em> dan <em>link</em> <em>load balancing

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Thilaganga, V., and S. Selvam. "A Prefetching Technique using Apriori and Logistic Methods for the DFS in Cloud." Asian Journal of Engineering and Applied Technology 6, no. 1 (2017): 10–13. http://dx.doi.org/10.51983/ajeat-2017.6.1.817.

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This paper presents an creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client machine from the server. To place this technique to work, the data about client nodes is piggybacked onto the real client I/O requests, and then forwarded to the relevant storage server. Next, dual prediction algorithms have been proposed to calculation future block access operations for directing what data should be fetched on stor

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R. Vigneshwaran, N. Mageshwaran, J. Akash, S. Kumaravel, and R. Mohana Santhiya. "ENABLING DATA STORAGE SECURITYWITH BLOCKCHAIN TECHNOLOGY." international journal of engineering technology and management sciences 9, no. 2 (2025): 26–35. https://doi.org/10.46647/jetms.2025.v09i02.006.

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There are multiple ways of keeping data by using a single or Distributed Database on thecloud, yet a single database client can keep data only on a single server, and if multiple clients try toaccess those at the same time with data consistency, the data may be altered at the time ofconcurrent data access. Handling data on a single database could be easy, but problems associatedwith data consistency, confidentiality, availability, and bottleneck/single point of failure are alwaysthere. To eliminate these problems, today the author uses the Distributed Database approach, inwhich data is stored

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Sumirat, Ucu, Antonius Setiawan, Sinka Wilyanti, and Rosyid Al-Hakim. "Analysis of Distributed File System Replication Using the NDLC Method with Hyper-V Virtual Simulation Machine." SaNa: Journal of Blockchain, NFTs and Metaverse Technology 1, no. 1 (2023): 10–22. http://dx.doi.org/10.58905/sana.v1i1.59.

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The need to access file sharing easily on an organization's computer network was increased. Users didn't have to worry about the number of file server addresses that can be accessed and are made with only one access address to use file sharing. The availability of data on the network to file storage availability in an organization was also essential. Data would be permanently lost, following a reason including hardware failure, or even accidentally deleted. It was important to ensure that there was a copy of the data. Achieving good data availability requires a system strategy built in the org

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Pawar, Ankush Balaram, Shashikant U. Ghumbre, and Rashmi M. Jogdand. "Advanced Cryptographic Standards-Based Secure Data Protocol for Distributed Data Storage and Communication in the Cloud." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijcac.297097.

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In this research, an ACS-based secure data protocol (ACS-based secure data protocol) is introduced for distributed data storage and communication in cloud. The component is constructed using the Owner’s Machine (OM), Data Processing Section (DPS), Cloud Monitoring Server (CMS), Metadata table, Key Management Server (KMS) and Receiver’s Machine (RM). The session key is generated by exchanging the data between the client and server using the mathematical operations, such as interpolation, hashing, Walsh transform and Elliptic curve cryptography. The Triple Data Encryption Algorithm (3DES) is use

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Athira, A. R., and P. Sasikala. "An Efficient Secure Data Deduplication and Portability In Distributed Cloud Server Using Whirlpool-Hct And Lf-Wdo." Electrical and Automation Engineering 1, no. 1 (2022): 28–32. http://dx.doi.org/10.46632/eae/1/1/5.

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Distributed Cloud Computing Storage has come up as a service that can expedite data owners (DO) to store their data remotely according to their application or data or file environment. However, insecure data storage, high uploading bandwidth, integration issues of DCS has breached the trustworthiness of the user to store data. In order to conquer the challenge, the work has developed a data Deduplication and portability-based secure data storage in DCS. The work aids to remove unwanted data and selects the most relevant features to avoid data loss by using GK-QDA Feature Reduction Method and H

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Shenbaga Bharatha Priya, A., J. Ganesh, and Mareeswari M. Devi. "Dynamic Load Rebalancing Algorithm for Private Cloud." Applied Mechanics and Materials 573 (June 2014): 556–59. http://dx.doi.org/10.4028/www.scientific.net/amm.573.556.

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Infrastructure-As-A-Service (IAAS) provides an environmental setup under any type of cloud. In Distributed file system (DFS), nodes are simultaneously serve computing and storage functions; that is parallel Data Processing and storage in cloud. Here, file is considered as a data or load. That file is partitioned into a number of File chunks (FC) allocated in distinct nodes so that Map Reduce tasks can be performed in parallel over the nodes. Files and Nodes can be dynamically created, deleted, and added. This results in load imbalance in a distributed file system; that is, the file chunks are

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Usharani, B. "Integrity and Privacy through Authentication Key Exchange Protocols for Distributed Systems." Asian Journal of Engineering and Applied Technology 6, no. 2 (2017): 40–50. http://dx.doi.org/10.51983/ajeat-2017.6.2.819.

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Networking is the practice of connecting several computing devices together in order to share resources.In real world, attacks via force and fraud are privacy (unauthorized release of information), Integrity (tampering with data), Service (denial of service).The goals are disallow unauthorized access, allow authorized access, resist DOS attacks .In recent years, many efficient AKE protocols have been proposed to achieve user privacy and integrity in the communications. A communication model is a representation where there are a large number of clients accessing multiple remote and distributed

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Jain, Rachna, and Anand Nayyar. "A novel homomorphic RASD framework for secured data access and storage in cloud computing." Open Computer Science 10, no. 1 (2020): 431–43. http://dx.doi.org/10.1515/comp-2020-0206.

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AbstractIn the distributed computing worldview, the client and association’s information is put away remotely on the cloud server. Clients and associations can get to applications, administrations, and foundation on-request from a cloud server through the internet, withstanding the various advantages, numerous difficulties, and issues that endure verifying cloud information access and capacity. These difficulties have featured additional security and protection issues as cloud specialist co-ops are exclusively in charge of the capacity and handling of the association’s information out of its p

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Challa, Kishore. "Cloud Native Architecture for Scalable Fintech Applications with Real Time Payments." International Journal of Engineering and Computer Science 10, no. 12 (2021): 25501–15. https://doi.org/10.18535/ijecs.v10i12.4654.

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This tutorial explains how to build a cloud-native architecture for fintech applications using scalable components and frameworks that provide enterprise-grade features. The tutorial focuses on applications that process payments and that expose a service-oriented public API, even if the concepts and components used can be extended to all sorts of fintech applications. provide illustrative step-by-step examples to show how each component can be implemented using open-source technologies. Testing and employment on the cloud are also considered. The reference architecture consists of: a distribut

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Thilaganga, V., M. Karthika, and M. Maha Lakshmi. "A Prefetching Technique Using HMM Forward and Backward Chaining for the DFS in Cloud." Asian Journal of Computer Science and Technology 6, no. 2 (2017): 23–26. http://dx.doi.org/10.51983/ajcst-2017.6.2.1784.

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A general class of temporal probabilistic model have recently developed, which extends the Forward, Backward and Viterbi algorithm for hidden Markov models. The HMM (Midden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The algorithm is based on shrinking the state space of the HMM noticeably using such chains. The states through which the world passes are hidden, or unobserved. However, at each point in time also gets an observation that in some way reflects on the current state of the world. The Cloud Com

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Nieva, de la Hidalga Abraham, and Alex Hardisty. "Making Heterogeneous Specimen Data 'FAIR': Implementing a digital specimen repository." Biodiversity Information Science and Standards 3 (June 18, 2019): e37163. https://doi.org/10.3897/biss.3.37163.

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The definition of a digital specimen is proposed to encompass the digital representation(s) of physical specimens from natural science collections. The digital specimen concept is intended to define a representation (digital object) that brings together an array of heterogeneous data types, which are themselves alternative physical specimen representations. In this case, the digital specimen (DS) holds references to specimen data from a collection management system, images, 3D models, research articles, DNA sequences, collector information, among many other data types. The proposal is to creat

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Ghofir, Abdul, and Rikip Ginanjar. "Distributed Cache with Utilizing Squid Proxy Server and LRU Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 2 (2017): 474. http://dx.doi.org/10.11591/ijeecs.v7.i2.pp474-482.

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<p>In relation to the dissemination of information, the Internet is one of the fastest media to do so. The internet’s presence is growing very swiftly and rapidly, so it has become recognized by people from all walks of life. For that, the people need the appropriate way to maintain effectiveness in the use of the Internet. The following paper describes a study of the distribution of the cache, which is performed by the squid proxy server by creating a storage network design on Linux. Cache documents that are stored in the proxy server will be distributed to another over a network storag

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Aditya Balaji, R., R. Pragadeeeshwaran, and G. K. Sandhia. "Encrypted De-duplication over Distributed Cloud Server." International Journal of Engineering & Technology 7, no. 3.12 (2018): 437. http://dx.doi.org/10.14419/ijet.v7i3.12.16124.

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The most common cloud service is Data Storage. In order to reduce the storage space, deduplication is used. Data deduplication is a process of removing redundant copies of same data. If a file which is already present in the cloud, is uploaded by the same user or different user, then it will not be uploaded again. Therefore storage required is decreased but reliability is also reduced. Data are encrypted and stored in cloud to protect the privacy of users and this introduces new challenges. The proposed system uses M3 algorithm for encryption and Chunking technique for deduplication. The resul

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Wang, Zhoukai, Huaijun Wang, Liu He, Yang Lv, Zhaoying Wei, and Xuan Li. "A Storage Optimization Model for Cloud Servers in Integrated Communication, Sensing, and Computation System." Wireless Communications and Mobile Computing 2022 (October 3, 2022): 1–13. http://dx.doi.org/10.1155/2022/3222979.

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The massive amount of sensing and communication data that needs to be processed during the production process of complex heavy equipment generates heavy storage pressure on the cloud server-side, thus limiting the convergence of sensing, communication, and computing in intelligent factories. To solve the problem, based on machine learning techniques, a storage optimization model is proposed in this paper for reducing the storage pressure on the cloud server and enhancing the coupling between communication and sensing data. At first, based on the operation rules of the distributed file system o

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Partala, Juha. "Semantically Secure Symmetric Encryption with Error Correction for Distributed Storage." Security and Communication Networks 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4321296.

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A distributed storage system (DSS) is a fundamental building block in many distributed applications. It applies linear network coding to achieve an optimal tradeoff between storage and repair bandwidth when node failures occur. Additively homomorphic encryption is compatible with linear network coding. The homomorphic property ensures that a linear combination of ciphertext messages decrypts to the same linear combination of the corresponding plaintext messages. In this paper, we construct a linearly homomorphic symmetric encryption scheme that is designed for a DSS. Our proposal provides simu

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Kanrar, Soumen, and Niranjan Kumar Mandal. "Enhancement of Video Streaming in Distributed Hybrid Architecture." Advances in Multimedia 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/5429187.

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Pure Peer to Peer (P2P) network requires enhancing transportation of chunk video objects to the proxy server in the mesh network. The rapid growth of video on demand user brings congestion at the proxy server and on the overall network. The situation needs efficient content delivery procedure, to the video on demand viewer from the distributed storage. In general scenario, if the proxy server does not possess the required video stream or the chunk of that said video, then the same can be smoothly and rapidly streamed to the viewer. This paper has shown that multitier mesh shaped hybrid archite

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Liao, Xiaofei, and Hai Jin. "A new distributed storage scheme for cluster video server." Journal of Systems Architecture 51, no. 2 (2005): 79–94. http://dx.doi.org/10.1016/j.sysarc.2004.09.001.

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Sowmia, D., and B. Muruganantham. "A survey on trade-off between storage and repair traffic in distributed storage systems." International Journal of Engineering & Technology 7, no. 2.8 (2018): 379. http://dx.doi.org/10.14419/ijet.v7i2.8.10466.

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Distributed storage systems give dependable access to information through excess spread over independently unreliable hubs. Application scenarios incorporate server farms, distributed capacity frameworks, and capacity in remote systems. This paper gives a study on the cloud storage model of networked online storage where data is stored in virtualized pools of storage which are generally hosted by third parties. Hosting companies operate large data centersand people who require their data to be encouraged buy or lease accumulating limit from them. The server cultivate overseers, outside of anyo

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Selvam, S. "An Effective Techniques Using Apriori and Logistic Methods in Cloud Computing." IARS' International Research Journal 11, no. 2 (2021): 35–39. http://dx.doi.org/10.51611/iars.irj.v11i2.2021.167.

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This paper presents a creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client machine from the server. To place this technique to work, the data about client nodes is piggybacked onto the real client I/O requests, and then forwarded to the relevant storage server. Next, dual prediction algorithms have been proposed to calculation future block access operations for directing what data should be fetched on stora

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Liu, Gang, Yan Xiang Lou, and Sheng Li Liu. "Data Integrity Check and Repair in Design and Manufacture of Distributed Storage Network." Advanced Materials Research 548 (July 2012): 753–57. http://dx.doi.org/10.4028/www.scientific.net/amr.548.753.

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When clients store large files on a remote network of unreliable distributed servers, they want to verify that their files are properly stored in the servers without any modification. This can be achieved by the techniques of data integrity. In this paper, we consider how to implement data integrity check by a third party auditor (TPA) in a distributed storage network, with the help of BLS signature. We also consider how the distributed storage network restores data when some server fails or some server crushes down. We present a data integrity check and repair (DICR) scheme, which makes use o

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Miao, Fang, Fu Chao Cheng, Wen Hui Yang, and Li Tan. "Research on the Metadata Storage Mode and Efficiency of Distributed File System Based on HGML." Applied Mechanics and Materials 40-41 (November 2010): 221–27. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.221.

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In the G / S mode, in order to meet the storage demands of massive spatial data, the requirements of the distributed file system (DFS) on back-end servers are extremely high. As one of the core tasks of DFS, the metadata storage is the necessary premise which ensures the reliability and efficiency of the entire system. This paper introduces a metadata storage mode based on HGML, and then designs and implements two solutions, which are scattered storage and integrated storage. According to the different characteristics of the two solutions, access efficiency of the metadata has been tested resp

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Nagrale, Vikas, Mayur Yalij, and Ashutosh Kumar. "Data Security of Dynamic and Robust Role Based Access Control from Multiple Authorities in Cloud Environment." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1307–9. http://dx.doi.org/10.22214/ijraset.2022.42489.

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Abstract: Data integrity maintenance is the major objective in cloud storage. It includes audition using TTP for unauthorized access. This work implements protecting the data and regeneration of data if someone mishandles it. This job will be assigned to a Proxy server. The data of the users will be stored in public and private area of the cloud. So that only public cloud data will be accessed by user and private cloud will remain more secured. Once any unauthorized modification is made, the original data in the private cloud will be retrieved by the Proxy server and will be returned to the us

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Liang, Xiao Yang, and Zhang Cen Guan. "Ceph CRUSH Data Distribution Algorithms." Applied Mechanics and Materials 596 (July 2014): 196–99. http://dx.doi.org/10.4028/www.scientific.net/amm.596.196.

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CRUSH is one of the Ceph module,mainly solve the controllable, extensible, decentralized distribution of data copy. Ceph's biggest characteristics is a distributed metadata server is through CRUSH algorithm to allocate file storage location, its core is RADOS (Reliable, Autonomic Distributed Object Store), an object storage cluster, provide high availability of the object itself, error detection and repair.

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., Reshma. "Certificateless Integrity Checking of Group Shared Data on Public Distributed Storage." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2678–83. http://dx.doi.org/10.22214/ijraset.2022.41866.

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Abstract: Distributed storage administration supplies individuals with an effective strategy to share information inside a gathering. The cloud server isn't reliable, so loads of far-off information ownership checking (RDPC) conventions are proposed and remembered to be a successful method for guaranteeing the information honesty. Notwithstanding, the vast majority of RDPC conventions depend on the system of customary public key framework (PKI), which has clear security defect and bears enormous weight of testament the board. To stay away from this inadequacy, personality-based cryptography (I

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Unger, A. Y. "A formal pattern of information system design." Journal of Physics: Conference Series 2094, no. 3 (2021): 032045. http://dx.doi.org/10.1088/1742-6596/2094/3/032045.

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Abstract A new design pattern intended for distributed cloud-based information systems is proposed. Pattern is based on the traditional client-server architecture. The server side is divided into three principal components: data storage, application server and cache server. Each component can be used to deploy parts of several independent information systems, thus realizing shared-resource approach. A strategy of separation of competencies between the client and the server is proposed. The strategy assumes that the client side is responsible for application logic and the server side is respons

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Pykulytsky, Oleh, and Bohdan Havano. "Cloud Key-Value Storage." Advances in Cyber-Physical Systems 8, no. 2 (2023): 133–41. http://dx.doi.org/10.23939/acps2023.02.133.

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The paper represents all the stages of designing, architecting, and developing cloud-based key-value storage. This work aims to bring new approaches to distributed data systems. The authors focus on the security and productivity of the project as well as security and maintainability. The authors have studied the use of hash tables in a multi-threaded environment. Architectural approaches and tools have been described. The general structure of the key-value storage server has been presented. The server algorithm has been presented. Our research delves into the intricate nuances of utilizing has

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Zhi, Xi Hu, and Ai Di Zhi. "Coordination Algorithm Design of the Distributed Storage Proxy Servers for Streaming Media." Advanced Materials Research 760-762 (September 2013): 1892–95. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1892.

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For streaming media proxy server systems which are geographically far apart, distributed streaming media proxy server clusters can be a good solution to reduce upward bandwidth consumption, shorten access distance, and improve service capacity; the key is to solve the coordination problem among the proxy servers. The decision problem of the user request dispatch actually belongs to NP-complete. This article proposes an online coordination algorithm for the distributed storage streaming media proxy servers, and discusses the relative deviation of the approximate solution from the optimal soluti

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Dwiyatno, Saleh, Ayu Purnama Sari, Agus Irawan, and Safig Safig. "PENDETEKSI SERANGAN DDoS (DISTRIBUTED DENIAL OF SERVICE) MENGGUNAKAN HONEYPOT DI PT. TORINI JAYA ABADI." Jurnal Sistem Informasi dan Informatika (Simika) 2, no. 2 (2019): 64–80. http://dx.doi.org/10.47080/simika.v2i2.606.

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Information security is very important in today's technology. Information storage and crossing is currently no longer using paper media, but has used a lot of computer and internet media. PT. Torini Jaya Abadi is one that uses computer and internet media for information storage and crossing. However, there are disturbances such as heavy server access, which cannot be accessed and sometimes it cannot enter into the database server from the indication that the server might be exposed to a virus or DDoS (Distributed Danial of Service) type attacks occur on the server. Based on these problems, the

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Ali, Ammar Alhaj, Pavel Varacha, Said Krayem, Roman Jasek, Petr Zacek, and Bronislav Chramcov. "Modeling of distributed file System in big data storage by event- B." MATEC Web of Conferences 210 (2018): 04042. http://dx.doi.org/10.1051/matecconf/201821004042.

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Nowadays, a wide set of systems and application, especially in high performance computing, depends on distributed environments to process and analyses huge amounts of data. As we know, the amount of data increases enormously, and the goal to provide and develop efficient, scalable and reliable storage solutions has become one of the major issue for scientific computing. The storage solution used by big data systems is Distributed File Systems (DFSs), where DFS is used to build a hierarchical and unified view of multiple file servers and shares on the network. In this paper we will offer Hadoop

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Egorov, A., A. Makshanov, N. Krupenina, and L. Tyndykar. "Mathematical model for organizing storage and providing access to files in distributed information systems." Journal of Physics: Conference Series 2131, no. 3 (2021): 032014. http://dx.doi.org/10.1088/1742-6596/2131/3/032014.

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Abstract Existing solutions for data exchange problem are considered. Installation feasibility and use FTP-server as an effective tool for storing and providing access to files is analyzed. Technical aspects of its work, as well as the tasks range that can be solved with its help are specified. Within the adaptive information system limits the general interaction functional structures scheme of the distributed FTP-server is resulted, and as the presence concealment scheme of storehouses by a controlling server at connection at the client. The mathematical storage model organization and access

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Wang, Peng, and Yan Qi. "Research of Load Balancing Based on NOSQL Database." Applied Mechanics and Materials 602-605 (August 2014): 3371–74. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3371.

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The NOSQL database to support data and high concurrent read and write,scalability and high availability features in a distributed storage system which has been applied widely. In this paper, through the research of load balancing in distributed storage system,and it proposes the consistent hashing algorithm and the virtual node strategy, in order to improve the load balancing of the system and increase the cache hit ratio. For the load balancing principle of NOSQL and SQL Server, analysis and comparison of the experimental data.The result shows that, with the increase of the number of virtual

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Mahmuda, Desy, Diah Risqiwati, and Denar Regata Akbi. "Perbandingan Uji Analisa Performansi Owncloud Dengan Menggunakan Network Attached Storage dan Distributed Replicated Blocked Device." Jurnal Repositor 3, no. 1 (2020): 155–60. http://dx.doi.org/10.22219/repositor.v2i9.881.

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Kebutuhan pada jaringan dengan mengutamakan performa untuk mendukung sebuah efisiensi jaringan merupakan hal penting. Salah satu kesulitan yang di alami yaitu dalam hal pengarsipan. Untuk membuat sstem High Availability disini digunakan metode failover dimana metode failover merupakan metode ketersediaan siste jika salah satu server down atau mati. Tujuan dari penelitian ini yaitu membangun sistem penyimpanan berbasi cloud yang handal guna mencegah terjadinya down pada server dan membandingkan performansi sistem penyimpanan cloud computing menggunakan Network Attached Storage dan Distributed R

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Liu, Yao Qin. "Distributed Caching Technology Research Based on Cloud Computing Model." Advanced Materials Research 926-930 (May 2014): 2208–12. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2208.

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With the rapid development of Internet technology, a variety of Web data also grows at an alarming rate, which has brought great challenges for the traditional data access and storage . Distributed caching technology based on cloud computing nodes provides a storage service with high performance through a large cloud caching service.Distributed cache system in each cache server coordinates and works together effectively to realize the sharing of resources, which is an important means of cloud-based storage platform to improve application performance of the cloud.

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Al-Abri, T., and M. Albadi. "Impacts of Electric Vehicles on Distribution System Planning and Operation." Renewable Energy and Power Quality Journal 20 (September 2022): 313–17. http://dx.doi.org/10.24084/repqj20.296.

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Nowadays, the use of electric vehicles (EVs) is becoming more popular due to technological improvements. Along with their ancillary services to the grid as a storage element, the integration of EVs into distribution systems (DSs) will definitely have impacts on the DS security and power quality in both vehicle to grid (V2G) and grid to vehicle (G2V) modes of operation. Hence, DSs’ planners and operators should regulate the integration of EVs and address relevant challenges for a reliable and efficient system. This paper surveys recent literature on the impacts of EVs on DSs considering the pre

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Ye, Jiale, Yongmei Bai, Jiang Xu, Shitao Huang, Zhaoyang Han, and Wei Wan. "Public Authentic-Replica Sampling Mechanism in Distributed Storage Environments." Electronics 13, no. 21 (2024): 4167. http://dx.doi.org/10.3390/electronics13214167.

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With the rapid development of wireless communication and big data analysis technologies, the storage of massive amounts of data relies on third-party trusted storage, such as cloud storage. However, once data are stored on third-party servers, data owners lose physical control over their data, making it challenging to ensure data integrity and security. To address this issue, researchers have proposed integrity auditing mechanisms that allow for the auditing of data integrity on cloud servers without retrieving all the data. To further enhance the availability of data stored on cloud servers,

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K., N. Bhatt, Dessai Sanket, and S. Yerragudi V. "Design and development of a parallelized algorithm for face recognition in mobile cloud environment." International Journal of Reconfigurable and Embedded Systems 10, no. 1 (2021): 47–55. https://doi.org/10.11591/ijres.v10.i1.pp47-55.

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Face recognition is the biometric application to recognise the identity. Face recognition application holds a set of images which are called databases stored by the user at cloud database. Cloud computing environment, database can be stored in the cloud environment to achieve huge data storage area. The problem with these data storages are that because of that huge size processing on this storage takes too much of compiling time. This paper aims to develop face recognition in mobile cloud environment by exploiting data or task parallelism in existing face recognition algorithms. To design and

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Liu, Shiqiu, Fangwei Ye, and Qihui Wu. "Clustered Distributed Data Storage Repairing Multiple Failures." Entropy 27, no. 3 (2025): 313. https://doi.org/10.3390/e27030313.

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A clustered distributed storage system (DSS), also called a rack-aware storage system, is a distributed storage system in which the nodes are grouped into several clusters. The communication between two clusters may be restricted by their connectivity; that is to say, the communication cost between nodes differs depending on their location. As such, when repairing a failed node, downloading data from nodes that are in the same cluster is much cheaper and more efficient than downloading data from nodes in another cluster. In this article, we consider a scenario in which the failed nodes only do

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Sugumar, B., and M. Ramakrishnan. "Key Escrow with Elliptic Curve Cryptography – Conceptual Framework for Distributed Mobile Networks." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 1060. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp1060-1067.

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In the large scale distributive environment involving mobile network, metadata server and storage applications, the data access and the security measures are of paramount importance. In parallel application processing, data is distributed across multiple servers and storage location. Ensuring confidentiality and availability of the data to the authorised users at the appropriate time involves high level of encryption algorithms, key management schemes and security algorithms. In this paper, key escrow scheme is implemented with the light weighted symmetric algorithm, elliptic curve cryptograph

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B., Sugumar, and Ramakrishnan M. "Key Escrow with Elliptic Curve Cryptography – Conceptual Framework for Distributed Mobile Networks." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 1060–67. https://doi.org/10.11591/ijeecs.v11.i3.pp1060-1067.

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In the large scale distributive environment involving mobile network, metadata server and storage applications, the data access and the security measures are of paramount importance. In parallel application processing, data is distributed across multiple servers and storage location. Ensuring confidentiality and availability of the data to the authorised users at the appropriate time involves high level of encryption algorithms, key management schemes and security algorithms. In this paper, key escrow scheme is implemented with the light weighted symmetric algorithm, elliptic curve cryptograph

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Gaeta, Rossano, and Marco Grangetto. "Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks." ACM Transactions on Modeling and Performance Evaluation of Computing Systems 6, no. 3 (2021): 1–27. http://dx.doi.org/10.1145/3491062.

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In coding-based distributed storage systems (DSSs), a set of storage nodes (SNs) hold coded fragments of a data unit that collectively allow one to recover the original information. It is well known that data modification (a.k.a. pollution attack) is the Achilles’ heel of such coding systems; indeed, intentional modification of a single coded fragment has the potential to prevent the reconstruction of the original information because of error propagation induced by the decoding algorithm. The challenge we take in this work is to devise an algorithm to identify polluted coded fragments within t

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Chu, Xiaowei Aaron, Jeff LeFevre, Aldrin Montana, et al. "Mapping Datasets to Object Storage System." EPJ Web of Conferences 245 (2020): 04037. http://dx.doi.org/10.1051/epjconf/202024504037.

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Access libraries such as ROOT[1] and HDF5[2] allow users to interact with datasets using high level abstractions, like coordinate systems and associated slicing operations. Unfortunately, the implementations of access libraries are based on outdated assumptions about storage systems interfaces and are generally unable to fully benefit from modern fast storage devices. For example, access libraries often implement buffering and data layout that assume that large, single-threaded sequential access patterns are causing less overall latency than small parallel random access: while this is true for

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A., SHAJI GEORGE, and AREMU BASHIRU. "FINE GRAINED ACCESS CONTROL AND REVOCATION FOR SECURE SERVER ENVIRONMENT." Cithara 09, no. 10 (2019): 25–35. https://doi.org/10.5281/zenodo.7030095.

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The improvement of distributed computing makes stockpiling revaluating turns into a surpassing pattern, which result in safe information evaluating a cool subject that arises in examination writing. As of late a few explores consider the issue of effective and secure public information validation assessment for shared unique information. In any case, these plans are as yet not secure against the conspiracy and spillage of distributed storage worker from unapproved assailant and repudiated bunch clients during client denial in distributed storage framework. In this paper, there will be reviewin

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Ali, M., N. Q. Soomro, H. Ali, A. Awan, and M. Kirmani. "Distributed File Sharing and Retrieval Model for Cloud Virtual Environment." Engineering, Technology & Applied Science Research 9, no. 2 (2019): 4062–65. http://dx.doi.org/10.48084/etasr.2662.

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Cloud-based storage services are multiplying and are being adapted mostly for data storage. At the same time, many potential problems pertaining to data storage and security are being addressed. This research provides the architecture for splitting user data and the solution in retrieving different data chunks, stored on different cloud storages. By doing this, not only the load on a single server is reduced but security and storage are efficiently used. Data would be stored and retrieved in slices, hence the chances of data forgery are diminishing. File processing will be faster as split part

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Ali, M., N. Q. Soomro, H. Ali, A. Awan, and M. Kirmani. "Distributed File Sharing and Retrieval Model for Cloud Virtual Environment." Engineering, Technology & Applied Science Research 9, no. 2 (2019): 4062–65. https://doi.org/10.5281/zenodo.2648029.

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Cloud-based storage services are multiplying and are being adapted mostly for data storage. At the same time, many potential problems pertaining to data storage and security are being addressed. This research provides the architecture for splitting user data and the solution in retrieving different data chunks, stored on different cloud storages. By doing this, not only the load on a single server is reduced but security and storage are efficiently used. Data would be stored and retrieved in slices, hence the chances of data forgery are diminishing. File processing will be faster as split part

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Tsao, Shiao-Li, Meng Chang Chen, Ming-Tat Ko, Jan-Ming Ho, and Yueh-Min Huang. "Data Allocation and Dynamic Load Balancing for Distributed Video Storage Server." Journal of Visual Communication and Image Representation 10, no. 2 (1999): 197–218. http://dx.doi.org/10.1006/jvci.1999.0420.

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Bhatt, K. N., Sanket S. Naik Dessai, and V. S. Yerragudi. "Design and development of a parallelized algorithm for face recognition in mobile cloud environment." International Journal of Reconfigurable and Embedded Systems (IJRES) 10, no. 1 (2021): 47. http://dx.doi.org/10.11591/ijres.v10.i1.pp47-55.

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<p>Face recognition is the biometric application to recognise the identity. Face recognition application holds a set of images which are called databases stored by the user at cloud database. Cloud computing environment, database can be stored in the cloud environment to achieve huge data storage area. The problem with these data storages are that because of that huge size processing on this storage takes too much of compiling time. This paper aims to develop face recognition in mobile cloud environment by exploiting data or task parallelism in existing face recognition algorithms. To de

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