Relevant bibliographies by topics / Edge storage

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

Academic literature on the topic 'Edge storage'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Edge storage"

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Cui, Huanqing, Yifan Wu, and Silin Lv. "Property Graph Partition Algorithm Based on Improved Barnacle Mating Optimization." Journal of Physics: Conference Series 2832, no. 1 (2024): 012005. http://dx.doi.org/10.1088/1742-6596/2832/1/012005.

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Abstract Distributed graph processing systems have been used more frequently in various fields, and graph partitioning is the basis of these systems. Graph partitioning algorithms generally aim to minimize the communication cost while the number of vertices or edges reach the load balance. But the vertices and/or edges of property graphs require some storage volume, so the traditional graph partition algorithms will lead to an unbalanced storage volume load. This paper proposes an edge-cut graph partitioning algorithm to generate partitions with equal size and storage volume as well as low cut-edge ratio. Initially, it partitions the graph into k partitions with equal size and storage volume. It then migrates vertices based on the improved Barnacles mating optimizer. The experiments on real-world graphs show that the proposed algorithm can achieve the partition size of volume balance, and the cut-edge ratio is also very low.
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Yang, Yejin, Miao Ye, Qiuxiang Jiang, and Peng Wen. "A novel node selection method for wireless distributed edge storage based on SDN and a maldistributed decision model." Electronic Research Archive 32, no. 2 (2024): 1160–90. http://dx.doi.org/10.3934/era.2024056.

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<abstract> <p>In distributed edge storage, data storage data is allocated to network edge devices to achieve low latency, high security, and flexibility. However, traditional systems for distributed edge storage only consider individual factors, such as node capacity, while overlooking the network status and the load states of the storage nodes, thereby impacting the system's read and write performance. Moreover, these systems exhibit inadequate scalability in widely adopted wireless terminal application scenarios. To overcome these challenges, this paper introduces a software-defined edge storage model and a distributed edge storage architecture grounded in software-defined networking (SDN) and the Server Message Block (SMB) protocol. A data storage node selection and distribution algorithm is formulated based on a maldistributed decision model that comprehensively considers the network and storage node load states. A system prototype is implemented in combination with 5G wireless communication technology. The experimental results demonstrate that, in comparison to conventional distributed edge storage systems, the proposed wireless distributed edge storage system exhibits significantly enhanced performance under high load conditions, demonstrating superior scalability and adaptability. This approach effectively addresses the scalability limitation, rendering it suitable for edge scenarios in mobile applications and reducing hardware deployment costs.</p> </abstract>
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Meng, Belinda Chong Chiew, Dayang Suhaida Awang Damit, and Nor Salwa Damanhuri. "Comparative studies of multiscale edge detection using different edge detectors for MRI thigh." Bulletin of Electrical Engineering and Informatics 10, no. 4 (2021): 1979–86. http://dx.doi.org/10.11591/eei.v10i4.2220.

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Edge detection plays an important role in computer vision to extract object boundary. Multiscale edge detection method provides a variety of image features by different resolution at multiscale of edges. The method extracts coarse and fine structure edges simultaneously in an image. Due to this, the multiscale method enables more reliable edges are detected. Most of the multiscale methods are not translation invariant due to the decimated process. They mostly depend on the corresponding transform coefficients. These methods need more computation and a larger storage space. This study proposes a multiscale method that uses an average filter to smooth image at three different scales. Three different classical edge detectors namely Prewitt, Sobel and Laplacian were used to extract the edges from the smooth images. The edges extracted from the different scales of smooth images were then combined to form the multiscale edge detection. The performances of the multiscale images extracted from the three classical edge detectors were then compared and discussed.
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Belinda, Chong Chiew Meng, Suhaida Awang Damit Dayang, and Salwa Damanhuri Nor. "Comparative studies of multiscale edge detection using different edge detectors for MRI thigh." Bulletin of Electrical Engineering and Informatics 10, no. 4 (2021): 1979~1986. https://doi.org/10.11591/eei.v10i4.2220.

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Edge detection plays an important role in computer vision to extract object boundary. Multiscale edge detection method provides a variety of image features by different resolution at multiscale of edges. The method extracts coarse and fine structure edges simultaneously in an image. Due to this, the multiscale method enables more reliable edges are detected. Most of the multiscale methods are not translation invariant due to the decimated process. They mostly depend on the corresponding transform coefficients. These methods need more computation and a larger storage space. This study proposes a multiscale method that uses an average filter to smooth image at three different scales. Three different classical edge detectors namely Prewitt, Sobel and Laplacian were used to extract the edges from the smooth images. The edges extracted from the different scales of smooth images were then combined to form the multiscale edge detection. The performances of the multiscale images extracted from the three classical edge detectors were then compared and discussed.
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M. Manideepsai, U. Vineeth Goud, CH. Vinay Goud, P. Vignesh Yadav, and D. Saidulu. "An Optimized Data Storage in A Secure Cloud-Edge Collaboration A Fault Tolerance Approach." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 2 (2024): 355–62. http://dx.doi.org/10.32628/ijsrset2411255.

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The rise of edge smart IoT devices has led to the development of edge storage systems (ESS) for efficient access to massive edge data. ESS can reduce the load on cloud centers and improve user experience. However, ESS still faces challenges in improving fault tolerance and efficiency. Thus, there is a need for a secure and efficient fault-tolerant storage scheme. Existing schemes have drawbacks like high edge storage overhead, difficulty in protecting edge data privacy, and low data writing performance. To address these issues, we propose a Hierarchical Cloud-Edge Collaborative Fault-Tolerant Storage (HCEFT) model. This model aims to enhance system robustness, reduce edge storage overhead, and ensure edge data privacy. We also introduce an optimization method for data writing in HCEFT, called ECWSS (Erasure Code data Writing method based on Steiner tree and SDN). This method improves the trade-off between data writing time and traffic consumption. Our scheme improves data robustness, availability, and security. Additionally, the writing optimization method reduces data write time by 13%-67% and network traffic consumption by 20%-62%, enhancing network load balance performance.
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Levenson, Marc D., Robert T. Lynch, and S. M. Tan. "Edge detection for magnetooptical data storage." Applied Optics 30, no. 2 (1991): 232. http://dx.doi.org/10.1364/ao.30.000232.

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Du, Sixuan, Bo Zheng, Hangyu Lei, Huifeng Guo, and Xiang Li. "Response of Understory Plant Diversity to Edge Effects in Plantation Forests on the Loess Plateau." Forests 16, no. 1 (2025): 87. https://doi.org/10.3390/f16010087.

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The majority of the world’s forests are located at landscape edges and are highly fragmented; the plantations on the Loess Plateau are no exception, experiencing pronounced edge effects. However, edge effects are often overlooked in assessments of carbon storage and biodiversity, and the extent and impact of these effects on Loess Plateau plantations remain inadequately understood. The objective of this study is to reveal how edge effects influence biodiversity and species composition and to examine their long-term impacts on ecosystem structure and function. Furthermore, it aims to explore the mechanisms underlying edge effects in plantation systems. Examining these effects is essential for guiding forest management practices and formulating effective biodiversity conservation strategies, thereby providing scientific insights to support the ecological restoration and sustainable management of plantations. In this study, we classified 44 sample plots into four groups according to their distances from the plantation edges to compare and analyze species composition. Additionally, we evaluated the intensity and range of edge effects on stand structure, species diversity, and carbon storage. The Shannon index of understory vegetation was used as the dependent variable, with canopy cover, edge distance, and stand density as independent variables. We used multiple linear regression to examine the effects of these factors on the Shannon index of understory vegetation (shrubs, herbs, and trees). The key findings were as follows: (1) Tree height did not exhibit edge effects across any distance range, while the Shannon index, species richness, and carbon storage showed edge effects within 54 m from the edge. Diameter at breast height (DBH), stand density, and canopy cover exhibited edge effects within 0–83 m from the edge. (2) The significance values for edge distance and canopy cover in the linear regression with the Shannon index were 0.99 and 0.51, respectively, showing no significant correlation. In contrast, stand density had a significant positive effect on the Shannon index (p = 0.03). (3) Notable differences in understory species composition were observed between the outermost and innermost groups of the plantation. Climatic conditions on the Loess Plateau exert a dominant influence on understory plants, altering species composition and abundance. High stand density appeared to moderate the microclimate, contributing to a higher understory Shannon index, but reducing carbon storage. Our findings suggest that the edge effects of plantation forests on the Loess Plateau exert varying degrees of influence on different indicators. Management decisions should be guided by the specific silvicultural objectives, whether the manager’s goals are to optimize biomass accumulation, enhance species recovery, or achieve a balance between these two goals.
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Vistro, Daniel Mago. "IoT based Big Data Analytics for Cloud Storage Using Edge Computing." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1594–98. http://dx.doi.org/10.5373/jardcs/v12sp7/20202262.

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Liu, Zehao. "Performance Comparison and Analysis of RAID-6 Encoding and Scaling in Edge Computing Environments." Highlights in Science, Engineering and Technology 87 (March 26, 2024): 17–22. http://dx.doi.org/10.54097/6hp0x463.

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In today's world where cloud computing is widely used, edge computing is starting to be used as a new type of data computing and management service. This paper first describes the importance of data reliability and storage fault tolerance for edge computing operating in multiple environments, and then focuses on RAID-6 to address the data storage requirements of edge computing. In this paper, the feasibility of RAID-6 for edge computing is discussed and two different RAID-6 coding algorithms are introduced. The better option for edge computing is explored through performance comparison. Among the two RAID-6 coding algorithms, it is considered that Row-Diagonal parity will be more suitable than EVENODD code for edge computing scenarios through comparison. But perhaps there are better coding algorithms with lower complexity that can again improve the performance of edge computing storage systems. An edge computing storage system using RAID-6 architecture would be very beneficial for a wide range of real-world application scenarios.
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Linaje, Marino, Javier Berrocal, and Alfonso Galan-Benitez. "Mist and Edge Storage: Fair Storage Distribution in Sensor Networks." IEEE Access 7 (2019): 123860–76. http://dx.doi.org/10.1109/access.2019.2938443.

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Dissertations / Theses on the topic "Edge storage"

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Johansson, Jennifer. "Cooling storage for 5G EDGE data center." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79126.

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Data centers requires a lot of energy due to that data centers count as the buildings also contains servers, cooling equipment, IT-equipment and power equipment. As the cooling solution for many data centers around the world right now, the compressor-based cooling solution counts for around 40% of the total energy consumption. A non-compressor-based solution that is used in some data centers, but also is in a research phase is the free cooling application. Free cooling means that the outside air is utilized to cool down the data center and there are two main technologies that contains within free cooling: airside free cooling and waterside free cooling. The purpose of this master thesis is to analyze two types of coils; one corrugated and the other one smooth, providing from Bensby Rostfria, to investigate if it is possible to use free cooling in 5G EDGE data center in Luleå, with one of these coils. The investigation will be done during the warmest day in summer. This because, according to weather data, Luleå is one candidate where this type of cooling system could be of use. The project was done through RISE ICE Datacenter where two identical systems was built next to each other with two corrugated hoses of different diameter and two smooth tubes with different diameter. The variables that was measured was the ambient temperature within the data hall, the water temperature in both water tanks, the temperature out from the system, the temperature in to the system and the mass flow of the air that was going to go through the system. The first thing that was done was to do fan curves to easier choose which input voltages for the fans that was of interest to do further analysis on. After that was done, three point was taken where the fan curve was of most increase. The tests were done by letting the corrugated hoses and smooth tubes to be in each of the water tanks and fill it with cold water. It was thereafter the coils that should warm the water from 4,75 °C – 9,75 °C, because of that the temperature in the data center was around 15 °C. The rising in particularly these temperatures was chosen because it is seen that to use free cooling the temperature differences must be at least 5 °C. The tests were done three times to get a more reliable result. All the data was further taken in to Zabbix and to further analysis in Grafana. When one test was done the files was saved from Grafana to Excel for compilation, and thereafter to Matlab for further analysis. The first thing that was analyzed was if the three different tests with the same input voltages gave similar results in the water temperature in the tank and the temperature out from the system. Thereafter, trendlines was built to investigate the temperature differences in and out of the system, the temperature differences in and the water temperature in the tank, the mass flow and the cooling power. That trendline was further in comparison to each other, which was 2D-plots between the cooling power and the temperature differences between the inlet and the water. Thereafter the both coils could compare to each other to see which of them that gave the largest cooling power and was most efficient to install in a future 5G data center module.  The conclusion for this master thesis is that the corrugated hose will give a higher cooling power with higher temperature differences outside, but during the warmest summer day it was distinctly the smooth tube that gave the largest cooling power and therefore the best result. The smooth tube also got, through hand calculations, the larger amount of pipe that was necessary to cool down the 5G module, but the smallest water tank. It was also shown that for the warmest summer day, a temperature in the water tank of 24 °C is the best, compared to 20 °C and 18 °C. The amount of coil that is needed to cool down the data center with a temperature in the water tank at 24 °C and how large the water tank differs between the two types of coils. For the corrugated hose a length of 1.8 km and a water tank of 9.4 m3. As for the smooth tube a length of 1.7 km and a water tank volume of 12 m3.  As can be seen throughout this project is that this type of cooling equipment is not the most efficient for the warmest summer day but could easily be used for other seasons.
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Liu, Wei-Hsin. "Investigation of edge effects in thermoacoustic couple measurements." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA246393.

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Thesis (M.S. in Engineering Acoustics)--Naval Postgraduate School, December 1990.<br>Thesis Advisor(s): Atchley, Anthony A. ; Hofler, Thomas J. "December 1990." Description based on title screen as viewed on March 31, 2010. DTIC Descriptor(s): Heat Transfer, Coupling (Interaction), Peak Values, Ratios, Temperature, Thermodynamics, Edges, Isolation, Sensitivity, Regions, Short Range (Time), Profiles, Plates, Internal, Acoustic Arrays, Pressure, Drives, Leading Edges, Mean, Amplitude, Sound Pressure, Stacking, Thermopiles. DTIC Identifier(s): Heat Pumps, Energy Conversion, Energy Storage, Heat Transfer, Thermoacoustic Couples, Theses Author(s) subject terms: Acoustics, Thermoacoustics, Thermoacoustic Heat Transport. Includes bibliographical references (p. 34). Also available in print.
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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a control and communication MG interface should be developed as an add-on DMS (Distribution Management System) functionality to integrate the MG energy scheduling with the network optimal power flow. This thesis proposes an edge-cloud architecture that is able to integrate the microgrid energy scheduling method with the grid constrained power flow, as well as providing tools for controlling and monitoring edge devices. As a specific case study, we consider the problem of determining the energy scheduling (amount extracted/stored from/in batteries) for each prosumer in a microgrid with a certain global objective (e.g. to make a few energy exchanges as possible with the main grid). The results show that, in order to have better optimization of the BES scheduling, it is necessary to evaluate the composition of a microgrid in such a way as to have balanced deficits and surpluses, which can be performed with Machine Learning (ML) techniques based on past production and consumption data for each prosumer.
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Darrous, Jad. "Scalable and Efficient Data Management in Distributed Clouds : Service Provisioning and Data Processing." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEN077.

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Cette thèse porte sur des solutions pour la gestion de données afin d'accélérer l'exécution efficace d'applications de type « Big Data » (très consommatrices en données) dans des centres de calculs distribués à grande échelle. Les applications de type « Big Data » sont de plus en plus souvent exécutées sur plusieurs sites. Les deux principales raisons de cette tendance sont 1) le déplacement des calculs vers les sources de données pour éliminer la latence due à leur transmission et 2) le stockage de données sur un site peut ne pas être réalisable à cause de leurs tailles de plus en plus importantes.La plupart des applications s'exécutent sur des clusters virtuels et nécessitent donc des images de machines virtuelles (VMI) ou des conteneurs d’application. Par conséquent, il est important de permettre l’approvisionnement rapide de ces services afin de réduire le temps d'attente avant l’exécution de nouveaux services ou applications. Dans la première partie de cette thèse, nous avons travaillé sur la récupération et le placement des données, en tenant compte de problèmes difficiles, notamment l'hétérogénéité des connexions au réseau étendu (WAN) et les besoins croissants en stockage pour les VMIs et les conteneurs d’application.Par ailleurs, les applications de type « Big Data » reposent sur la réplication pour fournir des services fiables et rapides, mais le surcoût devient de plus en plus grand. La seconde partie de cette thèse constitue l'une des premières études sur la compréhension et l'amélioration des performances des applications utilisant la technique, moins coûteuse en stockage, des codes d'effacement (erasure coding), en remplacement de la réplication<br>This thesis focuses on scalable data management solutions to accelerate service provisioning and enable efficient execution of data-intensive applications in large-scale distributed clouds. Data-intensive applications are increasingly running on distributed infrastructures (multiple clusters). The main two reasons for such a trend are 1) moving computation to data sources can eliminate the latency of data transmission, and 2) storing data on one site may not be feasible given the continuous increase of data size.On the one hand, most applications run on virtual clusters to provide isolated services, and require virtual machine images (VMIs) or container images to provision such services. Hence, it is important to enable fast provisioning of virtualization services to reduce the waiting time of new running services or applications. Different from previous work, during the first part of this thesis, we worked on optimizing data retrieval and placement considering challenging issues including the continuous increase of the number and size of VMIs and container images, and the limited bandwidth and heterogeneity of the wide area network (WAN) connections.On the other hand, data-intensive applications rely on replication to provide dependable and fast services, but it became expensive and even infeasible with the unprecedented growth of data size. The second part of this thesis provides one of the first studies on understanding and improving the performance of data-intensive applications when replacing replication with the storage-efficient erasure coding (EC) technique
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Jardel, Fanny. "Codage et traitements distribués pour les réseaux de communication." Thesis, Paris, ENST, 2016. http://www.theses.fr/2016ENST0001/document.

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Ce travail est dédié à la conception, l’analyse et l’évaluation des performances de nouveaux schémas de codage appropriés aux systèmes de stockage distribué. La première partie de ce travail est consacrée à l’étude des performances des codes spatialement couplés pour les canaux à effacements. Une nouvelle méthode de couplage spatial des ensembles classiques de contrôle de parité à faible densité (LDPC) est proposée. La méthode est inspirée du codage en couches. Les arêtes des ensembles locaux et celles définissant le couplage spatial sont construites séparément. Nous proposons également de saturer le seuil d’un ensemble Root-LDPC par couplage spatial de ses bits de parité dans le but de faire face aux évanouissements quasi-statiques. Le couplage spatial est dans un deuxième temps appliqué à un ensemble Root-LDPC, ayant une double diversité, conçu pour un canal à effacements par blocs à 4 états. Dans la deuxième partie de ce travail, nous considérons les codes produits non-binaires avec des composantes MDS et leur décodage algébrique itératif ligne-colonne sur un canal à effacements. Les effacements indépendants et par blocs sont considérés. Une représentation graphique compacte du code est introduite avec laquelle nous définissions la notion de coloriage à double diversité. Les ensembles d’arrêt sont définis et une caractérisation complète est donnée. La performance des codes produits à composantes MDS, avec et sans coloration, à double diversité est analysée en présence d’effacements indépendants et par blocs. Les résultats numériques montrent aussi une excellente performance en présence d’effacements à probabilité inégale due au coloriage ayant une double diversité<br>This work is dedicated to the design, analysis, and the performance evaluation of new coding schemes suitable for distributed storage systems. The first part is devoted to spatially coupled codes for erasure channels. A new method of spatial coupling for low-density parity-check ensembles is proposed. The method is inspired from overlapped layered coding. Edges of local ensembles and those defining the spatial coupling are separately built. We also propose to saturate the whole Root-LDPC boundary via spatial coupling of its parity bits to cope with quasi-static fading. Then, spatial coupling is applied on a Root-LDPC ensemble with double diversity designed for a channel with 4 block-erasure states. In the second part of this work, we consider non-binary product codes with MDS components and their iterative row-column algebraic decoding on the erasure channel. Both independent and block erasures are considered. A compact graph representation is introduced on which we define double-diversity edge colorings via the rootcheck concept. Stopping sets are defined and a full characterization is given in the context of MDS components. A differential evolution edge coloring algorithm that produces colorings with a large population of minimal rootcheck order symbols is presented. The performance of MDS-based product codes with and without double-diversity coloring is analyzed in presence of both block and independent erasures. Furthermore, numerical results show excellent performance in presence of unequal erasure probability due to double-diversity colorings
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Jardel, Fanny. "Codage et traitements distribués pour les réseaux de communication." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0001.

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Ce travail est dédié à la conception, l’analyse et l’évaluation des performances de nouveaux schémas de codage appropriés aux systèmes de stockage distribué. La première partie de ce travail est consacrée à l’étude des performances des codes spatialement couplés pour les canaux à effacements. Une nouvelle méthode de couplage spatial des ensembles classiques de contrôle de parité à faible densité (LDPC) est proposée. La méthode est inspirée du codage en couches. Les arêtes des ensembles locaux et celles définissant le couplage spatial sont construites séparément. Nous proposons également de saturer le seuil d’un ensemble Root-LDPC par couplage spatial de ses bits de parité dans le but de faire face aux évanouissements quasi-statiques. Le couplage spatial est dans un deuxième temps appliqué à un ensemble Root-LDPC, ayant une double diversité, conçu pour un canal à effacements par blocs à 4 états. Dans la deuxième partie de ce travail, nous considérons les codes produits non-binaires avec des composantes MDS et leur décodage algébrique itératif ligne-colonne sur un canal à effacements. Les effacements indépendants et par blocs sont considérés. Une représentation graphique compacte du code est introduite avec laquelle nous définissions la notion de coloriage à double diversité. Les ensembles d’arrêt sont définis et une caractérisation complète est donnée. La performance des codes produits à composantes MDS, avec et sans coloration, à double diversité est analysée en présence d’effacements indépendants et par blocs. Les résultats numériques montrent aussi une excellente performance en présence d’effacements à probabilité inégale due au coloriage ayant une double diversité<br>This work is dedicated to the design, analysis, and the performance evaluation of new coding schemes suitable for distributed storage systems. The first part is devoted to spatially coupled codes for erasure channels. A new method of spatial coupling for low-density parity-check ensembles is proposed. The method is inspired from overlapped layered coding. Edges of local ensembles and those defining the spatial coupling are separately built. We also propose to saturate the whole Root-LDPC boundary via spatial coupling of its parity bits to cope with quasi-static fading. Then, spatial coupling is applied on a Root-LDPC ensemble with double diversity designed for a channel with 4 block-erasure states. In the second part of this work, we consider non-binary product codes with MDS components and their iterative row-column algebraic decoding on the erasure channel. Both independent and block erasures are considered. A compact graph representation is introduced on which we define double-diversity edge colorings via the rootcheck concept. Stopping sets are defined and a full characterization is given in the context of MDS components. A differential evolution edge coloring algorithm that produces colorings with a large population of minimal rootcheck order symbols is presented. The performance of MDS-based product codes with and without double-diversity coloring is analyzed in presence of both block and independent erasures. Furthermore, numerical results show excellent performance in presence of unequal erasure probability due to double-diversity colorings
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Tena, Frezewd Lemma. "Energy-Efficient Key/Value Store." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-228586.

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Energy conservation is a major concern in todays data centers, which are the 21st century data processing factories, and where large and complex software systems such as distributed data management stores run and serve billions of users. The two main drivers of this major concern are the pollution impact data centers have on the environment due to their waste heat, and the expensive cost data centers incur due to their enormous energy demand. Among the many subsystems of data centers, the storage system is one of the main sources of energy consumption. Among the many types of storage systems, key/value stores happen to be the widely used in the data centers. In this work, I investigate energy saving techniques that enable a consistent hash based key/value store save energy during low activity times, and whenever there is an opportunity to reuse the waste heat of data centers.
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Spjutare, Christian. "Aerodynamic Loads on External Stores - Saab 39 Gripen : Evaluation of CFD methods for estimating loads on external stores." Thesis, Linköping University, Applied Thermodynamics and Fluid Mechanics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54127.

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<p>External stores mounted on aircraft generate loads which need to be estimated before first takeoff. These loads can be measured in a wind tunnel but since the possible store configurations are basically endless, testing them all is neither economically feasible nor time efficient. Thus, scaling based on geometrical similarity is used. This can, however, be a crude method. Stores with similar geometrical properties can still behave in different ways due to aerodynamic interference caused by adjacent surfaces.</p><p>To improve the scaling performance, this work focuses on investigating two CFD codes, ADAPDT and Edge. The CFD simulations are used to derive the difference in aerodynamic coefficients, or the Δ-effect, between a reference store and the new untested store. The Δ-effect is then applied to an existing wind tunnel measurement of the reference store, yielding an estimation of the aerodynamic properties for the new store.</p><p>The results show that ADAPDT, using a coarse geometry representation, has large difficulties predicting the new store properties, even for a very simple store configuration on the aircraft. Therefore it is not suited to use as a scaling tool in its present condition. Edge on the other hand uses a more precise geometry representation and proves to deliver good estimations of the new store load behavior. Results are well balanced and mainly conservative. Some further work is needed to verify the performance but Edge is the recommended tool for scaling.</p><p> </p>
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Griffith, Kent Joseph. "Atomic and electronic structure of complex metal oxides during electrochemical reaction with lithium." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/271191.

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Lithium-ion batteries have transformed energy storage and technological applications. They stand poised to convert transportation from combustion to electric engines. The discharge/charge rate is a key parameter that determines battery power output and recharge time; typically, operation is on the timescale of hours but reducing this would improve existing applications and open up new possibilities. Conventionally, the rate at which a battery can operate has been improved by synthetic strategies to decrease the solid-state diffusion length of lithium ions by decreasing particle sizes down to the nanoscale. In this work, a different approach is taken toward next-generation high-power and fast charging lithium-ion battery electrode materials. The phenomenon of high-rate charge storage without nanostructuring is discovered in niobium oxide and the mechanism is explained in the context of the structure–property relationships of Nb2O5. Three polymorphs, T-Nb2O5, B-Nb2O5, and H-Nb2O5, take bronze-like, rutile-like, and crystallographic shear structures, respectively. The bronze and crystallographic shear compounds, with unique electrochemical properties, can be described as ordered, anion-deficient nonstoichiometric defect structures derived from ReO3. The lessons learned in niobia serve as a platform to identify other compounds with related structural motifs that apparently facilitate high-rate lithium insertion and extraction. This leads to the synthesis, characterisation, and electrochemical evaluation of the even more complicated composition–structure–property relationships in ternary TiO2–Nb2O5 and Nb2O5–WO3 phases. Advanced structural characterisation including multinuclear solid-state nuclear magnetic resonance spectroscopy, density functional theory, X-ray absorption spectroscopy, operando high-rate X-ray diffraction, and neutron diffraction is conducted throughout to understand the evolution of local and long-range atomic structure and changes in electronic states.
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Silva, João André Almeida e. "Data Storage and Dissemination in Pervasive Edge Computing Environments." Doctoral thesis, 2021. http://hdl.handle.net/10362/121738.

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Nowadays, smart mobile devices generate huge amounts of data in all sorts of gatherings. Much of that data has localized and ephemeral interest, but can be of great use if shared among co-located devices. However, mobile devices often experience poor connectivity, leading to availability issues if application storage and logic are fully delegated to a remote cloud infrastructure. In turn, the edge computing paradigm pushes computations and storage beyond the data center, closer to end-user devices where data is generated and consumed. Hence, enabling the execution of certain components of edge-enabled systems directly and cooperatively on edge devices. This thesis focuses on the design and evaluation of resilient and efficient data storage and dissemination solutions for pervasive edge computing environments, operating with or without access to the network infrastructure. In line with this dichotomy, our goal can be divided into two specific scenarios. The first one is related to the absence of network infrastructure and the provision of a transient data storage and dissemination system for networks of co-located mobile devices. The second one relates with the existence of network infrastructure access and the corresponding edge computing capabilities. First, the thesis presents time-aware reactive storage (TARS), a reactive data storage and dissemination model with intrinsic time-awareness, that exploits synergies between the storage substrate and the publish/subscribe paradigm, and allows queries within a specific time scope. Next, it describes in more detail: i) Thyme, a data storage and dis- semination system for wireless edge environments, implementing TARS; ii) Parsley, a flexible and resilient group-based distributed hash table with preemptive peer relocation and a dynamic data sharding mechanism; and iii) Thyme GardenBed, a framework for data storage and dissemination across multi-region edge networks, that makes use of both device-to-device and edge interactions. The developed solutions present low overheads, while providing adequate response times for interactive usage and low energy consumption, proving to be practical in a variety of situations. They also display good load balancing and fault tolerance properties.<br>Resumo Hoje em dia, os dispositivos móveis inteligentes geram grandes quantidades de dados em todos os tipos de aglomerações de pessoas. Muitos desses dados têm interesse loca- lizado e efêmero, mas podem ser de grande utilidade se partilhados entre dispositivos co-localizados. No entanto, os dispositivos móveis muitas vezes experienciam fraca co- nectividade, levando a problemas de disponibilidade se o armazenamento e a lógica das aplicações forem totalmente delegados numa infraestrutura remota na nuvem. Por sua vez, o paradigma de computação na periferia da rede leva as computações e o armazena- mento para além dos centros de dados, para mais perto dos dispositivos dos utilizadores finais onde os dados são gerados e consumidos. Assim, permitindo a execução de certos componentes de sistemas direta e cooperativamente em dispositivos na periferia da rede. Esta tese foca-se no desenho e avaliação de soluções resilientes e eficientes para arma- zenamento e disseminação de dados em ambientes pervasivos de computação na periferia da rede, operando com ou sem acesso à infraestrutura de rede. Em linha com esta dico- tomia, o nosso objetivo pode ser dividido em dois cenários específicos. O primeiro está relacionado com a ausência de infraestrutura de rede e o fornecimento de um sistema efêmero de armazenamento e disseminação de dados para redes de dispositivos móveis co-localizados. O segundo diz respeito à existência de acesso à infraestrutura de rede e aos recursos de computação na periferia da rede correspondentes. Primeiramente, a tese apresenta armazenamento reativo ciente do tempo (ARCT), um modelo reativo de armazenamento e disseminação de dados com percepção intrínseca do tempo, que explora sinergias entre o substrato de armazenamento e o paradigma pu- blicação/subscrição, e permite consultas num escopo de tempo específico. De seguida, descreve em mais detalhe: i) Thyme, um sistema de armazenamento e disseminação de dados para ambientes sem fios na periferia da rede, que implementa ARCT; ii) Pars- ley, uma tabela de dispersão distribuída flexível e resiliente baseada em grupos, com realocação preventiva de nós e um mecanismo de particionamento dinâmico de dados; e iii) Thyme GardenBed, um sistema para armazenamento e disseminação de dados em redes multi-regionais na periferia da rede, que faz uso de interações entre dispositivos e com a periferia da rede. As soluções desenvolvidas apresentam baixos custos, proporcionando tempos de res- posta adequados para uso interativo e baixo consumo de energia, demonstrando serem práticas nas mais diversas situações. Estas soluções também exibem boas propriedades de balanceamento de carga e tolerância a faltas.
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Books on the topic "Edge storage"

1

Ballerat-Busserolles, Karine, Ying Alice Wu, and John J. Carroll, eds. Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119363804.

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Harris, Vicky. Litigation support management: The winning edge. Federation Press, 1994.

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C, Hooghart J., Posthumus C. W. S, and Nederlandse Organisatie voor Toegepast-Natuurwetenschappelijk Onderzoek. Commissie voor Hydrologisch Onderzoek., eds. Hydrochemistry and energy storage in aquifers: Technical meeting 48, Ede, The Netherlands, 23 April 1990. TNO Committee on Hydrological Research, 1990.

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Land, Christel F. Sales & Service: The Cutting Edge of Self-Storage. Independently Published, 2019.

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Cutting-Edge Technologies for Renewable Energy Production and Storage. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03936-001-7.

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J, Carroll John, Ying Wu, and Karine Ballerat-Busserolles. Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. Wiley & Sons, Incorporated, John, 2018.

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J, Carroll John, Ying Wu, and Karine Ballerat-Busserolles. Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. Wiley & Sons, Limited, John, 2018.

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J, Carroll John, Ying Wu, and Karine Ballerat-Busserolles. Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. Wiley & Sons, Limited, John, 2018.

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Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. Wiley & Sons, Incorporated, John, 2018.

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Computer tools: The litigator's edge. Pennsylvania Bar Institute, 1994.

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Book chapters on the topic "Edge storage"

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Zhong, Lijuan. "Edge Storage Solution Based on Computational Object Storage." In Edge Computing – EDGE 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59824-2_8.

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Zhou, Fuxiao, and Haopeng Chen. "DECS: Collaborative Edge-Edge Data Storage Service for Edge Computing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67537-0_23.

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Zhang, Yuchao, and Ke Xu. "Storage Issues in the Edge." In Network Management in Cloud and Edge Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0138-8_7.

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Baskar, Ramkumar Jayaraman M., and B. Amutha. "Edge Computing and Embedded Storage." In Augmented Intelligence Toward Smart Vehicular Applications. CRC Press, 2020. http://dx.doi.org/10.1201/9781003006817-3.

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Dai, Yang, Songyun Wang, Xilong Wang, and Xin Li. "Microservice-Oriented Edge Server Deployment in Cloud-Edge System." In Security, Privacy, and Anonymity in Computation, Communication, and Storage. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68884-4_4.

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Rode, E. D., L. A. Schaerer, Stephen A. Marinello, and G. v. Hantelmann. "Carbon Capture Storage Monitoring (“CCSM”)." In Cutting-Edge Technology for Carbon Capture, Utilization, and Storage. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119363804.ch1.

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Zhang, Yan. "Edge Computing for Digital Twin." In Digital Twin. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51819-5_4.

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AbstractMobile edge computing is a promising solution for analysing and processing a portion of data using the computing, storage, and network resources distributed on the paths between data sources and a cloud computing centre. Mobile edge computing thus provides high efficiency, low latency, and privacy protection to sustain digital twin. In this chapter, we first introduce a hierarchical architecture of digital twin edge networks that consists of a virtual plane and a user/physical plane. We then introduce the key communication and computation technologies in the digital twin edge networks and present two typical cooperative computation modes. Moreover, we present the role of artificial intelligence (AI) for digital twin edge networks, and discuss the unique edge association problem.
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Wei, Lei, Weiwei Miao, Zeng Zeng, Hesheng Sun, and Zhuzhong Qian. "EDC: An Edge-Oriented Dynamic Resource Configuration Strategy." In Security, Privacy, and Anonymity in Computation, Communication, and Storage. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68884-4_1.

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Darwich, Mahmoud, and Magdy Bayoumi. "Cloud-Enhanced Video Streaming: Storage and Resource Management." In Enhancing Video Streaming with AI, Cloud, and Edge Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84651-9_5.

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Darwich, Mahmoud, and Magdy Bayoumi. "Blockchain-Enhanced Distributed Storage for Cloud-Based Video Streaming." In Enhancing Video Streaming with AI, Cloud, and Edge Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84651-9_8.

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Conference papers on the topic "Edge storage"

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Nguyen, Sabrina, Juan Bazerque, Mai Abdelhakim, and Robert Kerestes. "Placement of Utility Scale Battery Storage and Solar on Rural Distribution Systems." In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). IEEE, 2025. https://doi.org/10.1109/gridedge61154.2025.10887426.

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Vaishampayan, Vinay A., Thilaharani Antony, and Amirthagunaraj Yogarathnam. "Effective Capacity of a Battery Energy Storage System Captive to a Wind Farm." In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). IEEE, 2025. https://doi.org/10.1109/gridedge61154.2025.10887505.

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Buchinskiy, Nikita, and Hiroumi Saitoh. "Non-Linear SoC Balancing Control for Battery Energy Storage Systems Improving the Provision of Frequency Regulation." In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). IEEE, 2025. https://doi.org/10.1109/gridedge61154.2025.10887482.

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Lin, Yashen, Venkateswara Reddy Motakatla, Annabelle Pratt, Jason S. MacDonald, Maxime Baudette, and Andrew Ingram. "Federated Controls for Distributed Energy Resource Management Applied to a Feeder with High Solar Generation and Battery Storage." In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). IEEE, 2025. https://doi.org/10.1109/gridedge61154.2025.10887436.

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Ypsilantis, Pantelis, Theodoros Toliopoulos, and Anastasios Gounaris. "Storage fabric for autonomous collaborative edge devices." In 2024 IEEE International Conference on Cloud Engineering (IC2E). IEEE, 2024. http://dx.doi.org/10.1109/ic2e61754.2024.00036.

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Kolosov, Oleg, Tom Herman, Ido Zohar, and Gala Yadgar. "WoW-IO: a Gaming-Based Storage Trace Generator for Edge Computing." In 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC). IEEE, 2024. http://dx.doi.org/10.1109/icfec61590.2024.00020.

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He, Xingqiu, Chaoqun You, and Tony Q. S. Quek. "Exploiting Storage for Computing: Computation Reuse in Collaborative Edge Computing." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, 2024. http://dx.doi.org/10.1109/infocom52122.2024.10621100.

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Kishani, Mostafa, and Zdenek Becvar. "Reducing Computation, Communication, and Storage Latency in Vehicular Edge Computing." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683495.

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Thillo, Ibe Van, Zeeshan Hameed, and Claus Pahl. "Multi-Factor Trust Management in Distributed Storage Networks based on Capacity and Behavior." In 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, 2024. http://dx.doi.org/10.1109/fmec62297.2024.10710228.

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Peng, Chubing, M. Mansuripur, Kenichi Nagata, and Takeo Ohta. "Edge detection readout signal and cross-talk in phase-change optical data storage." In Optical Data Storage. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/ods.1998.tub.3.

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Conventionally, readout signal is obtained by differential detection in magneto-optical storage or by direct integration of the reflected light in phase-change optical storage. Mark edges are usually determined by slicing the level detection signal at the standard level, suffering from intersymbol interference when reading densely recorded short marks. Edge detection is a direct optical detection for mark edges. The readout signal is the difference signal from a split detector. Theoretically, edge detection has advantages over conventional level detection, such as high contrast and ability to identify edges of densely spaced marks. These features need to be confirmed experimentally. In magneto-optical storage [1], edge-shift of short marks using edge detection was found to be lower than that using differential level detection [2]. But in other aspects, such as signal and noise levels, edge detection was inferior to differential level detection [2, 3]. In phase-change optical storage [4], theoretical analysis indicates that edge detection has a potential superiority over conventional detection (hereafter referred to as sum detection). Experimentally, edge detection noise level has been confirmed to be lower than sum detection, especially at low and high spatial frequencies. In this work we present results for edge detection readout signal, carrier-to-noise ratio (CNR), and cross-talk characteristics in the scheme of land-groove as well as comparison with sum detection for phase-change optical storage.
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Reports on the topic "Edge storage"

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Leathers, Emily, Clayton Thurmer, and Kendall Niles. Encryption for edge computing applications. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48596.

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As smart sensors and the Internet of Things (IoT) exponentially expand, there is an increased need for effective processing solutions for sensor node data located in the operational arena where it can be leveraged for immediate decision support. Current developments reveal that edge computing, where processing and storage are performed close to data generation locations, can meet this need (Ahmed and Ahmed 2016). Edge computing imparts greater flexibility than that experienced in cloud computing architectures (Khan et al. 2019). Despite these benefits, the literature highlights open security issues in edge computing, particularly in the realm of encryption. A prominent limitation of edge devices is the hardware’s ability to support the computational complexity of traditional encryption methodologies (Alwarafy et al. 2020). Furthermore, encryption on the edge poses challenges in key management, the process by which cryptographic keys are transferred and stored among devices (Zeyu et al. 2020). Though edge computing provides reduced latency in data processing, encryption mechanism utilization reintroduces delay and can hinder achieving real-time results (Yu et al. 2018). The IoT is composed of a wide range of devices with a diverse set of computational capabilities, rendering a homogeneous solution for encryption impractical (Dar et al. 2019). Edge devices are often deployed in operational locations that are vulnerable to physical tampering and attacks. Sensitive data may be compromised if not sufficiently encrypted or if keys are not managed properly. Furthermore, the distributed nature and quantity of edge devices create a vast attack surface that can be compromised in other ways (Xiao et al. 2019). Understanding established mechanisms and exploring emerging methodologies for encryption reveals potential solutions for developing a robust solution for edge computing applications. The purpose of this document is to detail the current research for encryption methods in the edge computing space and highlight the major challenges associated with executing successful encryption on the edge.
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Hendrick, Stephen, Hilary Carter, and Jason Perlow. 2021 Data and Storage Trends. The Linux Foundation, 2021. https://doi.org/10.70828/gqyx2842.

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Enterprise storage trends are all about core IT functions and day-to-day business challenges. 2020, however, was not your typical business year. In the wake of the COVID-19 pandemic, it was clear that the demand for secure and affordable data and storage services was exacerbated, but more insight into the current landscape was needed, especially the role of open source in this equation. The SODA Foundation is an open source project under the Linux Foundation that fosters an ecosystem of open source data management and storage software for data autonomy. SODA offers a neutral forum for cross-project collaboration and integration and provides end-users quality end-to-end solutions. In April of 2021, the SODA Foundation, in partnership with the Linux Foundation, launched a survey to understand evolving data and storage trends that was conducted in English, Chinese, and Japanese-speaking markets — in particular, to identify the current challenges, gaps, and trends for data and storage in the era of Cloud Native, edge, AI, and 5G. The intention is to use this survey data to help guide the SODA Foundation and its surrounding ecosystem on important issues and help its members be better equipped to make decisions, improve their products, and the SODA Foundation to establish new technical directions.
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Kolski, Jeffrey S., David B. Barlow, Robert J. Macek, and Rodney C. McCrady. Ray Tracing through the Edge Focusing of Rectangular Benders and an Improved Model for the Los Alamos Proton Storage Ring. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1011078.

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Moran, Matthew. Decarbonizing Mobility with Liquid Hydrogen. SAE International, 2024. http://dx.doi.org/10.4271/epr2024015.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Liquid hydrogen (LH2) is playing a key role in decarbonization of the global energy landscape. Its large-scale continuous use in the space industry provides a foundation for transitioning state-of-the-art capabilities to other sectors. Key advancements in materials, cryogenics, and system optimization are being applied to reduce costs and increase performance for various mobile and stationary use cases. However, some unsettled topics remain to be addressed related to production, liquefaction, storage, distribution, safety, and economics. The optimal solutions to these unsettled topics will vary depending on the region, industry sector, and application.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Decarbonizing Mobility with Liquid Hydrogen&lt;/b&gt; provides a brief and balanced assessment of the relevant technologies, established practices, system operations, emerging trends, strategic considerations, and economic drivers. Addressing these unsettled topics is tied to the evolving economic strategies of governmental policies, public and private investment, competitive structures, regional approaches, and innovative business models.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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HOLDEN, N. E. A SHORT HISTORY CSISRS - AT THE CUTTING EDGE OF NUCLEAR DATA INFORMATION STORAGE AND RETRIEVAL SYSTEMS AND ITS RELATIONSHIP TO CINDA, EXFOR AND ENDF. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/862430.

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Adas, Camilo Abduch. Low-carbon Hydrogen Use Across Economic Sectors and Global Regions. SAE International, 2024. http://dx.doi.org/10.4271/epr2024026.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;There is great recognition regarding the importance of hydrogen as an energy route for the decarbonization of road vehicles. Several countries are making large investments to create products, services, and infrastructures that allow hydrogen to be used as a clean source for propulsion, but there are still many open questions.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;This complete hydrogen chain involves production, transformation, transport, storage, and use. Although many initiatives are seeking global production, the use of low-carbon hydrogen is not yet economically competitive. Therefore, for this industry to establish itself, and acknowledging the characteristics of each region, there needs to be more intense coordination of efforts between the different industrial and political segments.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Low-carbon Hydrogen Use Across Economic Sectors and Global Regions&lt;/b&gt; establishes premises for the hydrogen economy and its main environmental aspects. It also includes proposals and scenarios to establish a strategy that relates to production, transport, and application with a focus on global integration.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Phillips, Paul. The Application of Satellite-based Internet of Things for New Mobility. SAE International, 2024. http://dx.doi.org/10.4271/epr2024001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;With the increased use of devices requiring the Internet of Things (IoT) to enable “New Mobility,” the demand for satellite-enabled IoT is growing steadily, owing to the extensive coverage provided by satellites (over existing ground-based infrastructure). Satellite-based IoT provides precise and real-time vehicle location and tracking services, large-scale geographical vehicle and/or infrastructure monitoring, and increased coverage for remote locations where it may not be possible to install ground-based solutions.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;The Application of Satellite-based Internet of Things for New Mobility&lt;/b&gt; discusses satellite-based IoT topics that still need addressing, which can be broadly classifieds into two areas: (1) affordable technology and (2) network connectivity and data management. While recent innovations are driving down the cost of satellite-based IoT, it remains relatively expensive, and widespread adoption is still not as high as terrestrial, ground-based systems. Security concerns over data and privacy also create significant barriers to entry and need to be addressed along with issues such as intermittent connectivity, latency and bandwidth limitations, and data storage and processing restrictions.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Dinçer, İbrahim, and Fatih Sorgulu. New Energy Technologies Report. Turkish Academy of Sciences, 2025. https://doi.org/10.53478/tuba.978-625-6110-38-0.

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"This report provides an overview of the main ideas and applications discussed during the New Energy Technologies Summer School, which took place at Ahmet Yesevi University in Turkistan, Kazakhstan, from August 18-23, 2024. It involves the basic physics of energy, its historical development, and the laws and practices influencing its use. In addition to reviewing conventional and renewable energy sources like solar, wind, hydro, geothermal, and nuclear power, the report addresses fundamental thermodynamic concepts. It investigates cutting-edge technologies like fuel cells, energy storage devices, and hydrogen energy. The report also covers alternative fuels, district energy systems, energy conservation, and smart grids. Finally, it examines how energy is used in different areas and its effects on the economy, environment, and society. A fundamental understanding of the energy business and its many potential and problems is given by this thorough study."
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Land, Joshua. BE-SATED: Building Energy Storage At The Edges of Demand. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2440437.

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Ricci, Glenn, Sarah Gaines, and Amanda Babson. Integrated coastal climate change vulnerability assessment: George Washington Birthplace National Monument. National Park Service, 2024. http://dx.doi.org/10.36967/2304901.

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Through a series of workshops, a team of National Park Service, University of Rhode Island and related experts conducted a climate change vulnerability assessment to integrate issues across natural resources, cultural resources, and facilities for George Washington Birthplace National Monument (NM). This assessment used existing methods (Ricci et al. 2019a) and data, and expert knowledge to understand the general trends in current (2022) and future (2050, 2100) vulnerability and adaptive capacity. Climate stressors included sea level rise (SLR), storm surge, flooding, erosion rates, and precipitation and temperature changes. The results of the assessment are presented for each of the three workgroups: cultural resources, natural resources, and facilities, as well as for two key geographic focal areas ? the Shoreline and the Memorial Core. Cultural landscapes, historic features and archeological sites that comprise the core values of the park are already being impacted by ongoing erosion, sea level rise, and storms, all of which are accelerated by climate change. The Ice Pond Dam was identified as a critical feature, both as a cultural resource and a facility asset, which is vulnerable to flash flooding and serves as a weak link for critical systems of communications, electricity, and access. Bluff monitoring designed to identify paleontological resources can benefit archeological resources as well. As erosion rates increase, newly uncovered archeological resources may drive a push for excavation. However, undercutting of the bluff makes any excavation or information reconnaissance on the archeological sites more difficult or dangerous due to the possibility of bluff edge sloughing or collapse. There is a recognized need to strengthen tribal partnerships to understand the priority for management of these resources. Tribal consultations initiated by the park are now underway. Any archeological excavation will result in loss of context and require additional storage capacity. Evaluation of potential shoreline stabilization techniques would need to consider how they would impact the viewshed and cultural landscape. Recommendations also included conducting an updated cultural landscape plan for the Memorial Core to consider tree management, including tree replacement in consideration of wind damage potential and because of the likelihood that extended warm seasons will lead to a longer period of pest activity. The vulnerability assessment data and maps can be a valuable resource for jumpstarting the adaptation planning process and integrating into existing planning processes. They can be used to engage with partners and help them appreciate the underlying vulnerability issues and changes over time.
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