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Artykuły w czasopismach na temat „Storage system bandwidth”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

He, Qin Lu, Zhan Huai Li, Le Xiao Wang, Hui Feng Wang, and Jian Sun. "Performance Measurement Technique of Cloud Storage System." Advanced Materials Research 760-762 (September 2013): 1197–201. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1197.

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Researches on technologies about testing aggregate bandwidth of file systems in cloud storage systems. Through the memory file system, network file system, parallel file system theory analysis, according to the cloud storage system polymerization bandwidth and concept, developed to cloud storage environment file system polymerization bandwidth test software called FSPoly. In this paper, use FSpoly to luster file system testing, find reasonable test methods, and then evaluations latest development in cloud storage system file system performance by using FSPoly.

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Lv, Hushan, Yongrui Li, Yizhuang Xie, and Tingting Qiao. "An Efficient On-Chip Data Storage and Exchange Engine for Spaceborne SAR System." Remote Sensing 15, no. 11 (2023): 2885. http://dx.doi.org/10.3390/rs15112885.

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Advancements in remote sensing technology and very-large-scale integrated circuit (VLSI) have significantly augmented the real-time processing capabilities of spaceborne synthetic aperture radar (SAR), thereby enhancing terrestrial observational capacities. However, the inefficiency of voluminous data storage and transfer inherent in conventional methods has emerged as a technical hindrance, curtailing real-time processing within SAR imaging systems. To address the constraints of a limited storage bandwidth and inefficient data transfer, this study introduces a three-dimensional cross-mapping

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Honeyman, Janice C., Walter Huda, Meryll M. Frost, Carole K. Palmer, and Edward V. Staab. "Picture archiving and communication system bandwidth and storage requirements." Journal of Digital Imaging 9, no. 2 (1996): 60–66. http://dx.doi.org/10.1007/bf03168858.

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Li, Qing, Shan Qing Hu, Yang Feng, and Teng Long. "The Design and Implementation of a High-Speed and Large-Capacity NAND Flash Storage System." Applied Mechanics and Materials 543-547 (March 2014): 568–71. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.568.

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Now, the quality of higher speed and larger capacity are required to the real-time storage system. This paper designs a high-speed and large-capacity storage system which uses FPGA as the master of SOPC system controlling NAND Flash chips. This system puts forward an advanced storage structure which has several NAND Flashes with multi-buses, forming a parallel pipeline design. By using the key technologies of bad block management and the ECC algorithm, which greatly avoids the influence of the invalid block to the storage system and reduces the probability of error data as well. It can not onl

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Yin, Chao, Changsheng Xie, Jiguang Wan, Chih-Cheng Hung, Jinjiang Liu, and Yihua Lan. "BMCloud: Minimizing Repair Bandwidth and Maintenance Cost in Cloud Storage." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/756185.

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To protect data in cloud storage, fault tolerance and efficient recovery become very important. Recent studies have developed numerous solutions based on erasure code techniques to solve this problem using functional repairs. However, there are two limitations to address. The first one is consistency since the Encoding Matrix (EM) is different among clouds. The other one is repairing bandwidth, which is a concern for most of us. We addressed these two problems from both theoretical and practical perspectives. We developed BMCloud, a new low repair bandwidth, low maintenance cost cloud storage

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Kanrar, Soumen, and Niranjan Kumar Mandal. "Video Traffic Flow Analysis in Distributed System during Interactive Session." Advances in Multimedia 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/7829570.

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Cost effective, smooth multimedia streaming to the remote customer through the distributed “video on demand” architecture is the most challenging research issue over the decade. The hierarchical system design is used for distributed network to satisfy more requesting users. The distributed hierarchical network system contains all the local and remote storage multimedia servers. The hierarchical network system is used to provide continuous availability of the data stream to the requesting customer. In this work, we propose a novel data stream that handles the methodology for reducing the connec

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7

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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Li, Yun Peng. "A Design of High Speed Data Acquisition and Storage System." Applied Mechanics and Materials 367 (August 2013): 541–43. http://dx.doi.org/10.4028/www.scientific.net/amm.367.541.

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This article focuses on research and implementation of a kind of solid storage system that is based on NAND flash which can store the data with high speed and huge capacity. A design with quad 1.25Gsps ADC and flash storage array with 1TB is demonstrated in the paper. The design is applied widely in many fields such as radar, communication and speech recognition. The detail of hardware development is also introduced in the thesis. In addition, a method is discussed to approve the reading and writing bandwidth by parallel operations on multiple pieces of flash. By using the method, the data ban

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Yolchuyev, Agil, and Janos Levendovszky. "Data Chunks Placement Optimization for Hybrid Storage Systems." Future Internet 13, no. 7 (2021): 181. http://dx.doi.org/10.3390/fi13070181.

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“Hybrid Cloud Storage” (HCS) is a widely adopted framework that combines the functionality of public and private cloud storage models to provide storage services. This kind of storage is especially ideal for organizations that seek to reduce the cost of their storage infrastructure with the use of “Public Cloud Storage” as a backend to on-premises primary storage. Despite the higher performance, the hybrid cloud has latency issues, related to the distance and bandwidth of the public storage, which may cause a significant drop in the performance of the storage systems during data transfer. This

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10

Niu, Xin, and Jingjing Jiang. "Single node repair algorithm for a multimedia cloud storage system based on network coding." Journal of High Speed Networks 27, no. 3 (2021): 205–14. http://dx.doi.org/10.3233/jhs-210661.

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Multimedia is inconvenient to use, difficult to maintain, and redundant in data storage. In order to solve the above problems and apply cloud storage to the integration of university teaching resources, this paper designs a virtualized cloud storage platform for university multimedia classrooms. The platform has many advantages, such as reducing the initial investment in multimedia classrooms, simplifying management tasks, making maximum use of actual resources and easy access to resources. Experiments and analysis show the feasibility and effectiveness of the platform. Aiming at the problems

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11

KUMAR, Mr M. A. R., and Mrs SRILATHA PULI. "FINDING DATA DEDUPLICATION USING CLOUD." YMER Digital 21, no. 05 (2022): 136–42. http://dx.doi.org/10.37896/ymer21.05/17.

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Data grows at the emotional rate of 50% per time, and 75% of the digital world is a copy1 Although keeping multiple clones of data is necessary to guarantee their availability and high continuity and the quantum of data redundancy is inordinate. By keeping a single dupe of repeated data, data deduplication is one of the most promising results to reduce the storage costs, and improve users experience by saving network bandwidth and reducing provisory time. However, this result must now solve many security issues to be fully satisfying. In this project we target the attacks from malicious client

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12

Wang, Lin. "Optimization of network performance of distributed storage system for biomechanical big data based on cloud computing." Molecular & Cellular Biomechanics 22, no. 5 (2025): 1743. https://doi.org/10.62617/mcb1743.

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This study proposes a network performance optimization strategy based on cloud computing to address the stringent demands of biomechanical big data on the efficiency of distributed storage systems. Biomechanical data, including motion capture, force plate measurements, and tissue strain analysis, involve large-scale, high-frequency, and heterogeneous datasets that necessitate efficient storage and real-time processing. By optimizing data transmission paths, designing an efficient caching mechanism, dynamically allocating bandwidth resources, and implementing network congestion control, the sys

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13

Bhattacharya, Hindol, Samiran Chattopadhyay, Matangini Chattopadhyay, and Avishek Banerjee. "Storage and Bandwidth Optimized Reliable Distributed Data Allocation Algorithm." International Journal of Ambient Computing and Intelligence 10, no. 1 (2019): 78–95. http://dx.doi.org/10.4018/ijaci.2019010105.

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Distributed storage allocation problems are an important optimization problem in reliable distributed storage, which aims to minimize storage cost while maximizing error recovery probability by optimal storage of data in distributed storage nodes. A key characteristic of distributed storage is that data is stored in remote servers across a network. Thus, network resources especially communication links are an expensive and non-trivial resource which should be optimized as well. In this article, the authors present a simulation-based study of the network characteristics of a distributed storage

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14

Shi, Jiang Yi, Kun Chen, Kang Li, and Zhi Xiong Di. "A Storage Scheme for Fast Packet Buffers in Network Processor." Advanced Materials Research 403-408 (November 2011): 2628–31. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2628.

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With the Internet services increased explosively, the requirement for network bandwidth is rigorous. Upon the extraordinary development of process capability, Memory access control has become a key factor that impacts the performance of network processor. The paper proposed a storage management for fast packet buffers in network processor, which can enhance the utilization of bandwidth. Experiment results shows that this approach improved the rates of accessing to memory system in network processor remarkably.

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Dr.Trupti, Kaushiram Wable. "Design and Implementation of Collaborative Cloud-Edge System Using Raspberry Pi for Video Surveillance System with AIoT to Analyse Effective Performance Parameters of Network." Research and Applications: Emerging Technologies 6, no. 2 (2024): 30–35. https://doi.org/10.5281/zenodo.11607879.

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<em>The video surveillance can avoid many crimes as well as it will help to reduce crime rate in society as well we can save many lives. But currently implemented IoT system having various limitations like insufficient storage capacity and inadequate processing of information. Thus we can integrate traditional IoT system with Artificial Intelligence (AI) models to improve storage capacity & processing called as Artificial Intelligence of Things (AIoT). This system mainly focuses on performance parameter of video surveillance system the parameter consist of Response Latency Time, Network Ba

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16

Faruqui, Nuruzzaman, Sandesh Achar, Sandeepkumar Racherla, et al. "Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm." Sensors 24, no. 21 (2024): 6895. http://dx.doi.org/10.3390/s24216895.

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Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining popularity for organizational perimeter surveillance and security monitoring. Transmitting HD video data to cloud infrastructure requires high bandwidth and more storage space than text, audio, and image data. It becomes more challenging for large-scale organizations with massive security grids to minimize cloud network bandwidth and storage costs. This paper presents an application of Machine Vision at the IoT Edge (Mez) technology in association with a novel Grid Sensing (GRS) algorithm to optimize

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17

Chen, Ningjiang, Weitao Liu, Wenjuan Pu, Yifei Liu, and Qingwei Zhong. "SDNC-Repair: A Cooperative Data Repair Strategy Based on Erasure Code for Software-Defined Storage." Sensors 23, no. 13 (2023): 5809. http://dx.doi.org/10.3390/s23135809.

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Erasure-code-based storage systems suffer from problems such as long repair time and low I/O performance, resulting in high repair costs. For many years, researchers have focused on reducing the cost of repairing erasure-code-based storage systems. In this study, we discuss the demerits of node selecting, data transferring and data repair in erasure-code-based storage systems. Based on the network topology and node structure, we propose SDNC-Repair, a cooperative data repair strategy based on erasure code for SDS (Software Defined Storage), and describe its framework. Then, we propose a data s

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18

Su, Yu, Shu Hong Wen, and Jian Ping Chai. "Embedded System Based Television Data Collection and Return Technology." Applied Mechanics and Materials 48-49 (February 2011): 496–501. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.496.

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Television data collection and return technologies are one of key technologies in television secure broadcasting system, TV video content surveillance, TV program copyright protection, and client advertisement broadcasting. In china, the dominating methods of TV video content surveillance are manual tape recording and whole TV program Automatic Return. Manual method costs too much, whole TV program return method needs lots of net bandwidth and storage space. This paper proposes a new method of television data collection and return technology, video field is extracted from continuous video and

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Xue, Nian, and Le Chang. "Design Tradeoffs in Applying CAS to File System Backed by Amazon-S3." Applied Mechanics and Materials 543-547 (March 2014): 3423–26. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3423.

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This paper first introduces the basic concepts of related technologies and cloud storage, and then analyzes the architecture and components of cloud storage platform which is compatible with Amazon S3. And particularly shows the implementation of CAS (Content Addressable Storage) which also needs to communicate with S3 server. S3fs (Amazon S3-based file system, which called S3fs) is developed through the frame of FUSE based on Amazon S3. The communication between CAS and S3 is transparent for users. S3fs also take the management of chunked file indexed by hash value, which could reduce the con

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20

Durner, Dominik, Badrish Chandramouli, and Yinan Li. "Crystal." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2432–44. http://dx.doi.org/10.14778/3476249.3476292.

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Cloud analytical databases employ a disaggregated storage model, where the elastic compute layer accesses data persisted on remote cloud storage in block-oriented columnar formats. Given the high latency and low bandwidth to remote storage and the limited size of fast local storage, caching data at the compute node is important and has resulted in a renewed interest in caching for analytics. Today, each DBMS builds its own caching solution, usually based on file-or block-level LRU. In this paper, we advocate a new architecture of a smart cache storage system called Crystal , that is co-located

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Zhang, Ling, and Shuai Shuai Zhu. "Data Dispersal for Large Storage Systems." Applied Mechanics and Materials 644-650 (September 2014): 2334–37. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2334.

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Data dispersal mechanism is a group of basic working protocols for oceans of data processing and it plays an important role in enhancing system error correction and avoiding storage device failure. The data recovery availability of the client is the main design goal of data dispersal algorithms. The system storage and computing costs are also important factors for a data dispersal algorithm. In this paper, we discussed how to disperse data with the special properties as well as with acceptable system costs. We developed a universal approach to measure storage node availability based on state v

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Rasina Begum, B., and P. Chithra. "Improving Security on Cloud Based Deduplication System." Asian Journal of Computer Science and Technology 7, S1 (2018): 16–19. http://dx.doi.org/10.51983/ajcst-2018.7.s1.1813.

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Cloud computing provides a scalable platform for large amount of data and processes that work on various applications and services by means of on-demand service. The storage services offered by clouds have become a new profit growth by providing a comparable cheaper, scalable, location-independent platform for managing users’ data. The client uses the cloud storage and enjoys the high end applications and services from a shared group of configurable computing resources using cloud services. It reduces the difficulty of local data storage and maintenance. But it gives severe security issues tow

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Wagh, Sameer, Paul Cuff, and Prateek Mittal. "Differentially Private Oblivious RAM." Proceedings on Privacy Enhancing Technologies 2018, no. 4 (2018): 64–84. http://dx.doi.org/10.1515/popets-2018-0032.

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Abstract In this work, we investigate if statistical privacy can enhance the performance of ORAM mechanisms while providing rigorous privacy guarantees. We propose a formal and rigorous framework for developing ORAM protocols with statistical security viz., a differentially private ORAM (DP-ORAM). We present Root ORAM, a family of DP-ORAMs that provide a tunable, multi-dimensional trade-off between the desired bandwidth overhead, local storage and system security. We theoretically analyze Root ORAM to quantify both its security and performance. We experimentally demonstrate the benefits of Roo

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R. Vignesh, R. Vignesh, and J. Preethi R. Vignesh. "Secure Data Deduplication System with Efficient and Reliable Multi-Key Management in Cloud Storage." 網際網路技術學刊 23, no. 4 (2022): 811–25. http://dx.doi.org/10.53106/160792642022072304016.

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<p>The revolutionary growth in the processing and storage mechanisms over the Internet has given the enhancement to inexpensive and strong computing properties. Cloud computing is a rising technology, which offers the data storage facility also application accessing facility in online environment. This system stands countless opportunities also challenges. In that, security of data and the increasing similar data in cloud (duplication) are very important issues to be addressed. So, Deduplication method is developed to reduce the similar data that is present in the storage system. In this

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Vasam, Varshini*1 &. B.Sridhara Murthy2. "EFFICIENT DATA STORAGE MECHANISM IN CLOUD COMPUTING." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 6 (2018): 16–21. https://doi.org/10.5281/zenodo.1262287.

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As data graduallygrows within data storage areas, the cloud storage systems nonstopface challenges in saving storage capacity and providing capabilities necessary to move big data within an acceptable time frame. In this paper, we propose the Boafft, a cloud storage system with distributed deduplication. The Boafft achieves scalable throughput and capacity using multiple data servers to de- duplicate data in parallel, with a minimal loss of deduplication ratio. Initially, the Boafft uses an effective data routing procedure based on data similarity that decrease the network burdenby quickly ide

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26

Shahverdi, Masood, Michael S. Mazzola, Quintin Grice, and Matthew Doude. "Bandwidth-Based Control Strategy for a Series HEV With Light Energy Storage System." IEEE Transactions on Vehicular Technology 66, no. 2 (2017): 1040–52. http://dx.doi.org/10.1109/tvt.2016.2559949.

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Dang, Shoujiang, and Rui Han. "An In-Network Cooperative Storage Schema Based on Neighbor Offloading in a Programmable Data Plane." Future Internet 14, no. 1 (2021): 18. http://dx.doi.org/10.3390/fi14010018.

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In scientific domains such as high-energy particle physics and genomics, the quantity of high-speed data traffic generated may far exceed the storage throughput and be unable to be in time stored in the current node. Cooperating and utilizing multiple storage nodes on the forwarding path provides an opportunity for high-speed data storage. This paper proposes the use of flow entries to dynamically split traffic among selected neighbor nodes to sequentially amortize excess traffic. We propose a neighbor selection mechanism based on the Local Name Mapping and Resolution System, in which the node

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Dimililer, Kamil. "Backpropagation Neural Network Implementation for Medical Image Compression." Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/453098.

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Medical images require compression, before transmission or storage, due to constrained bandwidth and storage capacity. An ideal image compression system must yield high-quality compressed image with high compression ratio. In this paper, Haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the X-ray image contents to their ideal compression method and their optimum compression ratio.

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Riadi, Imam, Tohari Ahmad, Riyanarto Sarno, Purwono Purwono, and Alfian Ma'arif. "Developing Data Integrity in an Electronic Health Record System using Blockchain and InterPlanetary File System (Case Study: COVID-19 Data)." Emerging Science Journal 4 (February 1, 2022): 190–206. http://dx.doi.org/10.28991/esj-2021-sp1-013.

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The misuse of health data stored in the Electronic Health Record (EHR) system can be uncontrolled. For example, mishandling of privacy and data security related to Corona Virus Disease-19 (COVID-19), containing patient diagnosis and vaccine certificate in Indonesia. We propose a system framework design by utilizing the InterPlanetary File System (IPFS) and Blockchain technology to overcome this problem. The IPFS environment supports a large data storage with a distributed network powered by Ethereum blockchain. The combination of this technology allows data stored in the EHR to be secure and a

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S, Mr Syedzagiriya, Mr Fayik Ali, Mr Shaheel Hameed Z, and Mr Syed Jamesha. "ADAPTIVE EDGE-BASED BANDWIDTH OPTIMIZATION FOR EFFICIENT DATA FLOW AND CONGESTION CONTROL." International Journal of Environmental Sciences 11, no. 1s (2025): 814–25. https://doi.org/10.64252/tbwt2k17.

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This study proposes an adaptive edge-based bandwidth optimization system to enhance network efficiency, accelerate data transfer, and mitigate congestion. The system leverages a hybrid reinforcement learning approach integrated with an Adaptive Federated Bandwidth Allocation (AFBA) mechanism to dynamically manage resources. The Deep Q-Network (DQN) framework optimizes bandwidth allocation by learning from real-time network fluctuations, while the Attention-based Graph Neural Network (AGNN) enhances predictive accuracy by analyzing traffic patterns across distributed nodes. The implementation i

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Hema S and Dr.Kangaiammal A. "A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework." November 2020 6, no. 11 (2020): 165–73. http://dx.doi.org/10.46501/ijmtst061131.

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Cloud services increase data availability so as to offer flawless service to the client. Because of increasing data availability, more redundancies and more memory space are required to store such data. Cloud computing requires essential storage and efficient protection for all types of data. With the amount of data produced seeing an exponential increase with time, storing the replicated data contents is inevitable. Hence, using storage optimization approaches becomes an important pre-requisite for enormous storage domains like cloud storage. Data deduplication is the technique which compress

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Ye, Miao, Ruoyu Wei, Wei Guo, Qiuxiang Jiang, Hongbing Qiu, and Yong Wang. "A New Method for Reconstructing Data on a Single Failure Node in the Distributed Storage System Based on the MSR Code." Wireless Communications and Mobile Computing 2021 (March 31, 2021): 1–14. http://dx.doi.org/10.1155/2021/5574255.

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As a storage method for a distributed storage system, an erasure code can save storage space and repair the data of failed nodes. However, most studies that discuss the repair of fault nodes in the erasure code mode only focus on the condition that the bandwidth of heterogeneous links restricts the repair rate but ignore the condition that the storage node is heterogeneous, the cost of repair traffic in the repair process, and the influence of the failure of secondary nodes on the repair process. An optimal repair strategy based on the minimum storage regenerative (MSR) code and a hybrid genet

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DENG, YUHUI, FRANK WANG, JIANGLING ZHANG, DAN FENG, FANG WANG, and HONG JIANG. "PUSH THE BOTTLENECK OF STREAMING MEDIA SYSTEM FROM STREAMING MEDIA SERVER TO NETWORK." International Journal of Image and Graphics 05, no. 04 (2005): 859–69. http://dx.doi.org/10.1142/s0219467805002038.

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Streaming media is pervasive on the Internet now and it continues to grow rapidly. Most streaming media systems have adopted a typical system architecture in which the storage devices are attached privately to the streaming media server. Unfortunately, with the steady growth of Internet subscribers, the streaming media server quickly becomes a system bottleneck. This paper proposes an innovative, high performance streaming media system architecture (HPSMS) based on the logical separation in the streaming media transport protocol. The architecture avoids expensive store-and-forward data copying

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Lai, Longbin, Linfeng Shen, Yanfei Zheng, Kefei Chen, and Jing Zhang. "Analysis for REPERA." International Journal of Cloud Applications and Computing 2, no. 1 (2012): 71–82. http://dx.doi.org/10.4018/ijcac.2012010105.

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Distributed systems, especially those providing cloud services, endeavor to construct sufficiently reliable storage in order to attract more customers. Generally, pure replication and erasure code are widely adopted in distributed systems to guarantee reliable data storage, yet both of them contain some deficiencies. Pure replication consumes too much extra storage and bandwidth, while erasure code seems not so high-efficiency and only suitable for read-only context. The authors proposed REPERA as a hybrid mechanism combining pure replication and erasure code to leverage their advantages and m

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Shahverdi, Masood, Michael Mazzola, Matthew Doude, Quintin Grice, Jim Gafford, and Nicolas Sockeel. "An Experiment-Based Methodology for Evaluating the Impacts of Full Bandwidth Load on the Hybrid Energy Storage System for Electrified Vehicles." Sci 1, no. 1 (2019): 26. http://dx.doi.org/10.3390/sci1010026.

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In Electrified Vehicles, the cost, efficiency, and durability of electrified vehicles are dependent on the energy storage system (ESS) components, configuration and its performance. This paper, pursuing a minimal size tactic, describes a methodology for quantitatively and qualitatively investigating the impacts of a full bandwidth load on the ESS in the HEV. However, the methodology can be extended to other electrified vehicles. The full bandwidth load, up to the operating frequency of the electric motor drive (20 kHz), is empirically measured which includes a frequency range beyond the usuall

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Agarwal, Sachin, Jatinder Pal Singh, and Shruti Dube. "Analysis and Implementation of Gossip-Based P2P Streaming with Distributed Incentive Mechanisms for Peer Cooperation." Advances in Multimedia 2007 (2007): 1–12. http://dx.doi.org/10.1155/2007/84150.

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Peer-to-peer (P2P) systems are becoming a popular means of streaming audio and video content but they are prone to bandwidth starvation if selfish peers do not contribute bandwidth to other peers. We prove that an incentive mechanism can be created for a live streaming P2P protocol while preserving the asymptotic properties of randomized gossip-based streaming. In order to show the utility of our result, we adapt a distributed incentive scheme from P2P file storage literature to the live streaming scenario. We provide simulation results that confirm the ability to achieve a constant download r

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UDOMARIYASAP, P., S. NOPPANAKEEPONG, S. MITATHA, and P. P. YUPAPIN. "THz LIGHT PULSE GENERATION AND STORAGE WITHIN AN EMBEDDED OPTICAL WAVEGUIDE SYSTEM." Journal of Nonlinear Optical Physics & Materials 19, no. 02 (2010): 303–10. http://dx.doi.org/10.1142/s0218863510005194.

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We propose the interesting results of high frequency generation method, which is required to use in the THz regime. A generated system consists of two micro and a nano ring that can be integrated into a signal system which can be employed to generate the large bandwidth by a Gaussian pulse propagating within the ring resonator system. The selected signals can be filtered by using the optical add/drop filter. By controlling the ring parameters, the appropriate output power can be obtained, which can be modified to be suitable in either imaging or communication applications. Moreover, the very w

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Durner, Dominik, Viktor Leis, and Thomas Neumann. "Exploiting Cloud Object Storage for High-Performance Analytics." Proceedings of the VLDB Endowment 16, no. 11 (2023): 2769–82. http://dx.doi.org/10.14778/3611479.3611486.

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Elasticity of compute and storage is crucial for analytical cloud database systems. All cloud vendors provide disaggregated object stores, which can be used as storage backend for analytical query engines. Until recently, local storage was unavoidable to process large tables efficiently due to the bandwidth limitations of the network infrastructure in public clouds. However, the gap between remote network and local NVMe bandwidth is closing, making cloud storage more attractive. This paper presents a blueprint for performing efficient analytics directly on cloud object stores. We derive cost-

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Huang, Ting. "Design of Mobile Electronic Micro-Payment System." Applied Mechanics and Materials 530-531 (February 2014): 859–64. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.859.

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Mobile electronic micro-payment system uses mobile terminals for electronic payments which can circulate in multiple banks and cannot limit from the bank that issues the e-cash. This paper researches electronic micro-payment on the agreement of opening account, the withdrawal agreement, the pay agreement, the deposit agreement, the update protocol of the e-cash based on elliptic curve cryptography (ECC). The design of this system is more suitable for mobile micro-payment terminals with limit of calculation capacity, storage, network bandwidth and power supply, which satisfies the needs of the

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Urmila, Prajapati, and Pahadiya Ms.Pallavi. "Study and Implementation of Image Compression using Different Wavelets." Journal of Controller and Converters 3, no. 3 (2018): 17–22. https://doi.org/10.5281/zenodo.1565376.

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<em>Transmission applications are utilized in broadcast,remote detecting by means of satellite, flying machine, radar, video chatting, PC interchanges, copy transmission, and so on. The cost of storage and transmission of images across a network is important now-a-days, as a huge collection of images in the form of databases are available on the Net. The reduction in file size is necessary to meet the bandwidth requirements for many transmission systems, and to reduce storage costs.</em>

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Munsayac, Fracisco Emmanuel Jr ,. III, Nilo Bugtai, Renann Baldovino, Noelle Marie Espiritu, and Lowell Nathaniel Singson. "Development of an Arduino-based Control and Sensor System for a Robotic Laparoscopic Surgical Unit." Recoletos Multidisciplinary Research Journal 12, no. 1 (2024): 125–44. http://dx.doi.org/10.32871/rmrj2412.01.10.

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The LAPARA System, a Philippine-made robotic surgical system, tested its control system in this paper. Three types of tests are then done to the system: PID Optimization Test, Position Checking, and Data Transfer Rate and Memory Bandwidth Testing. Results from the PID resulted in the values 2.32 for the P, 0.4 for the I, and 1.5 for the D to be chosen to ensure the system runs smoothly. The system was also able to run properly during Position Checking, though movement in the Pitch and Yaw required refinement due to the constraints. Also, the data transfer rate for the PC to Arduino Due connect

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Zhang, Qing Qing, Qing Yu Wang, Gao Feng Zhang, Yi Zhang, and Lan Xu Wu. "A Power Quality Monitoring Data Management Scheme Based on Distributed Database." Advanced Materials Research 732-733 (August 2013): 1410–14. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1410.

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Currently the massive power quality monitoring data are stored in the centralized database of the monitoring master station, the problems such as large storage space; low query retrieval speed; low reliability and poor scalability will be caused. This paper proposes a data management scheme for massive power quality monitoring data based on the distributed database system. The monitoring data of different power quality indexes are stored in the distributed servers of the existing monitoring sub-stations; the server of monitoring master station is used for storing data characteristics value and

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Darwanto, Agus, and Mohammad Alfin Khoiri. "IMPLEMENTASI SAMBA PRIMARY DOMAIN CONTROLLER, MANAJEMEN BANDWIDTH, DAN PEMBATASAN AKSES WEBSITE UNTUK MENINGKATKAN EFEKTIFITAS KEGIATAN PEMBELAJARAN DI LABORATORIUM TEKNIK KOMPUTER & JARINGAN SMKN 1 DLANGGU." KONVERGENSI 17, no. 2 (2022): 89–101. http://dx.doi.org/10.30996/konv.v17i2.5478.

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ABSTRACTThere are no shared storage that is centralized in the server requires students to store their files into extended storage such as a flash drive. Primary Domain Controller as centralized storage for each client with a login system for each user provides an alternative centralized personal storage with the resources provided by the server. With a centralized server, the user makes it easy to store files without fear of being swapped by other users. While the absence of website limitations that cannot be accessed at certain hours such as productive learning hours can reduce student learn

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Kakade, Manoj Subhash, Anupama Karuppiah, Mayank Mathur, et al. "Multitask Scheduling on Distributed Cloudlet System Built Using SoCs." Journal of Systemics, Cybernetics and Informatics 21, no. 1 (2023): 61–72. http://dx.doi.org/10.54808/jsci.21.01.61.

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With the emergence of IoT, new computing paradigms have also emerged. Initial IoT systems had all the computing happening on the cloud. With the emergence of Industry 4.0 and IoT being the major building block, clouds are not the only solution for data storage and analytics. Cloudlet, Fog Computing, Edge Computing, and Dew Computing models are now available, providing similar capabilities as the cloud. The term cloudlet was introduced first in 2011, but research in this area has picked up only over the past five years. Unlike clouds, which are built with powerful server-class machines and GPUs

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Salamat, Sahand, Hui Zhang, Yang Seok Ki, and Tajana Rosing. "NASCENT2: Generic Near-Storage Sort Accelerator for Data Analytics on SmartSSD." ACM Transactions on Reconfigurable Technology and Systems 15, no. 2 (2022): 1–29. http://dx.doi.org/10.1145/3472769.

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As the size of data generated every day grows dramatically, the computational bottleneck of computer systems has shifted toward storage devices. The interface between the storage and the computational platforms has become the main limitation due to its limited bandwidth, which does not scale when the number of storage devices increases. Interconnect networks do not provide simultaneous access to all storage devices and thus limit the performance of the system when executing independent operations on different storage devices. Offloading the computations to the storage devices eliminates the bu

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Varsha., A. R* Manohara. P. H. "DEPENDABILITY VALIDATING AND RENEWING OF CODE USING INSPECTIONING SYSTEM." Global Journal of Engineering Science and Research Management 3, no. 6 (2016): 37–41. https://doi.org/10.5281/zenodo.55309.

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Data dependability maintenance is the major objective in cloud storage. It includes inspection using TPA for unauthorized access. To give security for the outsourced data in cloud storage against various problems like corruptions, and providing data dependability becomes difficult. One of the important issue is the fault tolerance to protect the data in the cloud. Now a days, renewing codes got importance because of their lower repair bandwidth. For renewing coded data the remote checking methods only provide private inspectioning, for this we require  data holders to always to be in onli

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Suthir, S. Dr.S.Janakiraman. "A Survey of Fast File Sharing System in Network." INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH Volume 5 | Issue 2 | May 2017, Volume 5 | Issue 2 | May 2017 (2017): Page Number(s) — 1298–1304. https://doi.org/10.5281/zenodo.583721.

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The Phenomenal survey for file sharing in network is done based on some of the characteristics like speed and security. Perhaps, our protection loom not only considers the shrinking the size of network traffic that wishes to survive traced but also investigate to get better sustainability of the structure. File deduplication is a procedure for abolish replica photocopy of file, and has been broadly used in database storage to shrink database free space and upload bandwidth. On the other hand, there is simply single copy for every record stock up in database archive was used by large number of

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Siew, Chengxi, and Pankaj Kumar. "CitySAC: A Query-Able CityGML Compression System." Smart Cities 2, no. 1 (2019): 106–17. http://dx.doi.org/10.3390/smartcities2010008.

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Spatial Data Infrastructures (SDIs) are frequently used to exchange 2D & 3D data, in areas such as city planning, disaster management, urban navigation and many more. City Geography Mark-up Language (CityGML), an Open Geospatial Consortium (OGC) standard has been developed for the storage and exchange of 3D city models. Due to its encoding in XML based format, the data transfer efficiency is reduced which leads to data storage issues. The use of CityGML for analysis purposes is limited due to its inefficiency in terms of file size and bandwidth consumption. This paper introduces XML based

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S. Srinivasan, Et al. "Effective Cost Reduction Usage of Infrastructure in Small Scale Sectors using Cloud Storage and Internet of Things." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2441–47. http://dx.doi.org/10.17762/ijritcc.v11i9.9311.

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Presently many small-scale information technology based private sectors are scare due to spending of high cost for maintaining of infrastructures and resources. In order to avoid to pay more money on maintaining infrastructures, there is a need of an effective price reduction method for the usage of infrastructures in various computer-based private sectors which has been achieved through integration of different online and offline cloud storages along with internet of things sensors. This method delivers huge range of infrastructures, resources and services through online and offline platforms

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Wicaksono, Airlangga Baihaqi, Rendy Munadi, and Sussi Sussi. "Cloud server design for heavy workload gaming computing with Google cloud platform." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 2197. http://dx.doi.org/10.11591/ijece.v13i2.pp2197-2205.

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Cloud servers are generally used for data storage and remote office activities, but it can be applied for gaming purposes, where cloud servers can be paired with virtual machines and gaming platform that can be accessed by users via an internet connection. This makes the device used by user no longer needs to process resources because the workload is carried out by virtual machines on cloud server. The author designs a cloud gaming system using Google cloud platform as a cloud server and parsec as an optimizer that is attached to a virtual machine for game computing purposes. Author takes meas

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