Journal articles: 'Hierarchical storage management'

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Lugar, J. "Hierarchical storage management: leveraging new capabilities." IT Professional 3, no. 2 (2001): 53–55. http://dx.doi.org/10.1109/6294.918223.

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Chun, Yan, Sheng Xi Li, and Ya Zhou Li. "Research on Data Storage Structure and Management Model in Hierarchical Storage." Advanced Materials Research 121-122 (June 2010): 198–203. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.198.

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As hierarchical storage is one of the highlights in researching and realizing of mass data storage, this paper mainly describes a study on data storage structure, evaluation of data importance and data management model of hierarchical storage.

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Mookerjee, Vijay S. "Policies for data archival in hierarchical storage management." European Journal of Operational Research 138, no. 2 (April 2002): 413–35. http://dx.doi.org/10.1016/s0377-2217(01)00125-4.

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Brubeck, D. W., and L. A. Rowe. "Hierarchical storage management in a distributed VOD system." IEEE Multimedia 3, no. 3 (1996): 37–47. http://dx.doi.org/10.1109/93.556538.

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Sovetov, Boris, Tatiana Tatarnikova, and Ekaterina Poymanova. "Storage scaling management model." Information and Control Systems, no. 5 (October 20, 2020): 43–49. http://dx.doi.org/10.31799/1684-8853-2020-5-43-49.

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Introduction: The implementation of data storage process requires timely scaling of the infrastructure to accommodate the data received for storage. Given the rapid accumulation of data, new models of storage capacity management are needed, which should take into account the hierarchical structure of the data storage, various requirements for file storage and restrictions on the storage media size. Purpose: To propose a model for timely scaling of the storage infrastructure based on predictive estimates of the moment when the data storage media is fully filled. Results: A model of storage capacity management is presented, based on the analysis of storage system state patterns. A pattern is a matrix each cell of which reflects the filling state of the storage medium at an appropriate level in the hierarchical structure of the storage system. A matrix cell is characterized by the real, limit, and maximum values of its carrier capacity. To solve the scaling problem for a data storage system means to predict the moments when the limit capacity and maximum capacity of the data carrier are reached. The difference between the predictive estimatesis the time which the administrator has to connect extra media. It is proposed to calculate the values of the predictive estimates programmatically, using machine learning methods. It is shown that when making a short-term prediction, machine learning methods have lower accuracy than ARIMA, an integrated model of autoregression and moving average. However, when making a long-term forecast, machine learning methods provide results commensurate with those from ARIMA. Practical relevance: The proposed model is necessary for timely allocation of storage capacity for incoming data. The implementation of this model at the storage input allows you to automate the process of connecting media, which helps prevent the loss of data entering the system.

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QIU, Jian-Ping, Guang-Yan ZHANG, and Ji-Wu SHU. "DMStone: A Tool for Evaluating Hierarchical Storage Management Systems." Journal of Software 23, no. 4 (August 3, 2012): 987–95. http://dx.doi.org/10.3724/sp.j.1001.2012.04046.

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Fan, Songli, Qian Ai, and Longjian Piao. "Hierarchical Energy Management of Microgrids including Storage and Demand Response." Energies 11, no. 5 (May 1, 2018): 1111. http://dx.doi.org/10.3390/en11051111.

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Moinzadeh, Kamran, and Emre Berk. "An archiving model for a hierarchical information storage environment." European Journal of Operational Research 123, no. 1 (May 2000): 206–25. http://dx.doi.org/10.1016/s0377-2217(99)00079-x.

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Ding, Wei, Yuanrui Zhang, Mahmut Kandemir, and Seung Woo Son. "Compiler-Directed File Layout Optimization for Hierarchical Storage Systems." Scientific Programming 21, no. 3-4 (2013): 65–78. http://dx.doi.org/10.1155/2013/167581.

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File layout of array data is a critical factor that effects the behavior of storage caches, and has so far taken not much attention in the context of hierarchical storage systems. The main contribution of this paper is a compiler-driven file layout optimization scheme for hierarchical storage caches. This approach, fully automated within an optimizing compiler, analyzes a multi-threaded application code and determines a file layout for each disk-resident array referenced by the code, such that the performance of the target storage cache hierarchy is maximized. We tested our approach using 16 I/O intensive application programs and compared its performance against two previously proposed approaches under different cache space management schemes. Our experimental results show that the proposed approach improves the execution time of these parallel applications by 23.7% on average.

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Ye, Chang, Shihong Miao, Qi Lei, and Yaowang Li. "Dynamic Energy Management of Hybrid Energy Storage Systems with a Hierarchical Structure." Energies 9, no. 6 (May 24, 2016): 395. http://dx.doi.org/10.3390/en9060395.

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Zhao, Nan Nan, and Jian Bo Yao. "Hybrid Key Management Scheme for WSN." Applied Mechanics and Materials 513-517 (February 2014): 424–30. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.424.

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Wireless sensor networks are widely applied in various applications. But due to the resource-constrained sensor nodes and the malicious attacks, the traditional key management schemes are not suitable for the network. Contraposing the particularities, many relevant key management schemes are developed for WSNs the network. Based on the framework of WSNs, existing schemes can be classified into two categories: flat distributed architecture and hierarchical architecture. In this paper, a hybrid key management scheme for wireless sensor network is proposed by combining the distributed architecture and the hierarchical architecture. Based on the modified version of Dus matrix construction, this scheme can apply in WSNs with the network topology changes. Compared with existing key management schemes, this scheme can provide sufficient security, nicer key connectivity and low key storage overhead.

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Du, M., J. Wang, C. Jing, J. Jiang, and Q. Chen. "HIERARCHICAL DATA MODEL FOR STORAGE AND INDEXING OF MASSIVE STREET VIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1295–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1295-2019.

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<p><strong>Abstract.</strong> Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has not been fully explored. For the massive image, data model for storage and indexing is an important research issue. Considering multiple cameras and GPS device in the image capturing platform, a hierarchical data model named 3D-Grid is proposed. Massive street view images were stored according to grid ID, GPS time and camera ID. An efficient time indexing algorithm is brought forth to replace the spatial indexing. Real test experiments are conducted in a project, and the validation and feasibility of 3D-Grid including time indexing algorithm were validated.</p>

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Zhong, Haifeng, and Jianying Xiong. "The Management Strategy of Metadata in Large-scale Network Storage System." MATEC Web of Conferences 228 (2018): 01011. http://dx.doi.org/10.1051/matecconf/201822801011.

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The wan Internet storage system based on Distributed Hash Table uses fully distributed data and metadata management, and constructs an extensible and efficient mass storage system for the application based on Internet. However, such systems work in highly dynamic environments, and the frequent entry and exit of nodes will lead to huge communication costs. Therefore, this paper proposes a new hierarchical metadata routing management mechanism based on DHT, which makes full use of the node stabilization point to reduce the maintenance overhead of the overlay. Analysis shows that the algorithm can effectively improve efficiency and enhance stability.

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Shen, Yong Luo, Jun Zhang, Di Wei Yang, and Lin Bo Luo. "A Bezier Curve Based Key Management Scheme for Hierarchical Wireless Sensor Networks." Applied Mechanics and Materials 263-266 (December 2012): 2979–85. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2979.

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In this paper, we propose a novel key management scheme based on Bezier curves for hierarchical wireless sensor networks (WSNs). The design of our scheme is motivated by the idea that a Bezier curve can be subdivided into arbitrarily continuous pieces of sub Bezier curves. The subdivided sub Bezier curves are easily organized to a hierarchical architecture that is similar to hierarchical WSNs. The subdivided Bezier curves are unique and independent from each other so that it is suitable to assign each node in the WSN with a sub Bezier curve. Since a piece of Bezier curve can be presented by its control points, in the proposed key management scheme, the secret keys for each node are selected from the corresponding Bezier curve’s control points. Comparing with existing key management schemes, the proposed scheme is more suitable for distributing secret keys for hierarchical WSNs and more efficient in terms of computational and storage cost.

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Cavalli, A., L. dell'Agnello, A. Ghiselli, D. Gregori, L. Magnoni, B. Martelli, M. Mazzucato, et al. "StoRM-GPFS-TSM: A new approach to hierarchical storage management for the LHC experiments." Journal of Physics: Conference Series 219, no. 7 (April 1, 2010): 072030. http://dx.doi.org/10.1088/1742-6596/219/7/072030.

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Pu, Yuchen, Qi Li, Weirong Chen, and Hong Liu. "Hierarchical energy management control for islanding DC microgrid with electric-hydrogen hybrid storage system." International Journal of Hydrogen Energy 44, no. 11 (February 2019): 5153–61. http://dx.doi.org/10.1016/j.ijhydene.2018.10.043.

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Hou, Jun, and Ziyou Song. "A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity." Applied Energy 257 (January 2020): 113900. http://dx.doi.org/10.1016/j.apenergy.2019.113900.

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Jin, Xiaolong, Yunfei Mu, Hongjie Jia, Jianzhong Wu, Xiandong Xu, Xiaodan Yu, and Fengyu Qi. "Hierarchical Management for Building Microgrid Considering Virtual Storage System and Plug-in Electric Vehicles." Energy Procedia 103 (December 2016): 219–24. http://dx.doi.org/10.1016/j.egypro.2016.11.276.

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Cheng, Wen, Chunyan Li, Lingfang Zeng, Yingjin Qian, Xi Li, and André Brinkmann. "NVMM-Oriented Hierarchical Persistent Client Caching for Lustre." ACM Transactions on Storage 17, no. 1 (February 2, 2021): 1–22. http://dx.doi.org/10.1145/3404190.

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In high-performance computing (HPC), data and metadata are stored on special server nodes and client applications access the servers’ data and metadata through a network, which induces network latencies and resource contention. These server nodes are typically equipped with (slow) magnetic disks, while the client nodes store temporary data on fast SSDs or even on non-volatile main memory (NVMM). Therefore, the full potential of parallel file systems can only be reached if fast client side storage devices are included into the overall storage architecture. In this article, we propose an NVMM-based hierarchical persistent client cache for the Lustre file system (NVMM-LPCC for short). NVMM-LPCC implements two caching modes: a read and write mode (RW-NVMM-LPCC for short) and a read only mode (RO-NVMM-LPCC for short). NVMM-LPCC integrates with the Lustre Hierarchical Storage Management (HSM) solution and the Lustre layout lock mechanism to provide consistent persistent caching services for I/O applications running on client nodes, meanwhile maintaining a global unified namespace of the entire Lustre file system. The evaluation results presented in this article show that NVMM-LPCC can increase the average read throughput by up to 35.80 times and the average write throughput by up to 9.83 times compared with the native Lustre system, while providing excellent scalability.

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Jia, Lin, Gui Ling Zhang, and Zhen Kai Wan. "Design and Implement a Smart Data Gateway for Energy Management System." Advanced Materials Research 791-793 (September 2013): 1743–47. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1743.

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Data gateway, completing data collection, storage, forwarding, protocol conversion and other functions, plays an important role in energy management system. Using hierarchical and modular design method, we design and implement a smart data gateway for energy management in this paper. However, it can be flexibly applied to other IoT applications by adding the hardware module and the corresponding driver because we design the smart data gateway, aiming at IoT application.

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Wu, Zhen, Yining Liu, and Xingxing Jia. "A Novel Hierarchical Secret Image Sharing Scheme with Multi-Group Joint Management." Mathematics 8, no. 3 (March 19, 2020): 448. http://dx.doi.org/10.3390/math8030448.

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With the spread of the Internet, the speed of data spread is getting faster and faster. It benefits us a lot but also brings us many potential security problems, especially the problem of privacy leakage. For example, more and more people choose to store their private images in the cloud. Secret image sharing as a significant method has been widely applied in protecting images in the cloud, which reduces the risks of data leakage and data loss. Generally, the secret image sharing scheme would encrypt the secret image into a series of shares and then stored these shares in a cloud. However, when this cloud has been attacked, the secret may meet a risk of leakage. A solution to solve the problem is that the generated shares are distributed storage in multiple clouds. Each cloud is independent and all clouds can have a collaboration to manage the secret image. To address this issue, a novel hierarchical secret image sharing scheme with multi-group joint management is proposed in this paper, which is suitable for protecting the security of the secret image by distributed storage over multiple clouds. In the proposed scheme, the secret image would be shared among multiple groups with different thresholds. The number of each group’s shareholders is determined by a sequence of thresholds. Therefore, the proposed scheme is a hierarchical secret image sharing scheme in which the secret image can be reconstructed if and only if the number of shares has met all threshold conditions. In addition, the generated shares have the same weight, which is more suitable for universal applicability. Both the system analysis and the simulation results prove that the proposed scheme is efficient and practical.

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Deatrich, D. C., S. X. Liu, and R. Tafirout. "A high performance hierarchical storage management system for the Canadian tier-1 centre at TRIUMF." Journal of Physics: Conference Series 219, no. 5 (April 1, 2010): 052008. http://dx.doi.org/10.1088/1742-6596/219/5/052008.

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Fang, Sidun, Bin Gou, Yu Wang, Yan Xu, Ce Shang, and Hongdong Wang. "Optimal Hierarchical Management of Shipboard Multibattery Energy Storage System Using a Data-Driven Degradation Model." IEEE Transactions on Transportation Electrification 5, no. 4 (December 2019): 1306–18. http://dx.doi.org/10.1109/tte.2019.2956639.

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Avrin, DE, KP Andriole, L. Yin, RG Gould, and RL Arenson. "A hierarchical storage management (HSM) scheme for cost-effective on-line archival using lossy compression." Journal of Digital Imaging 14, no. 1 (March 2001): 18–23. http://dx.doi.org/10.1007/s10278-001-0020-1.

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Vakali, Athena. "Data block prefetching and caching in a hierarchical storage model." Information Sciences 128, no. 1-2 (September 2000): 19–41. http://dx.doi.org/10.1016/s0020-0255(00)00045-1.

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Wang, Weiliang, Dan Wang, Liu Liu, Hongjie Jia, Yunqiang Zhi, Zhengji Meng, and Wei Du. "Research on Modeling and Hierarchical Scheduling of a Generalized Multi-Source Energy Storage System in an Integrated Energy Distribution System." Energies 12, no. 2 (January 15, 2019): 246. http://dx.doi.org/10.3390/en12020246.

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Energy storage systems play a crucial role in ensuring stable operation. However, the development of system-level energy storage is hindered due to the restrictions of economy, geography, and other factors. Transitions of traditional power systems into integrated energy distribution systems (IEDS) have provided new solutions to the problems mentioned above. Through intelligent control management methods, the utilization of multi-energy-type resources both on the supply and demand sides shows the potential for equivalent storage characteristics. Inspired by the aggregation principles, this paper aims at proposing a novel model named generalized multi-source energy storage (GMSES), including the modeling and cooperation of three kinds of available resources: conventional energy storage (CES), multi-energy flow resources (MFR), and demand response resources (DRR). Compared with the conventional means of storage, GMSES can be regarded as a more cost-effective and flexible participant in the proposed hierarchical energy scheduling framework that can realize system-level storage services in IEDS. On this basis, a multi-timescale energy scheduling strategy is proposed to reshape the regulation of IEDS operations and deal with the fluctuations caused by renewable energy and loads, where the general parameter serialization (GPS)-based control strategy is utilized to select and control the responsive loads in DRR. Furthermore, a hierarchical scheduling algorithm is developed to generate the optimal set-points of GMSES. Case studies are analyzed in an electricity-gas coupled IEDS. The simulation results show that the coupled co-optimization GMSES model is conducive to achieving the goal of self-management and economical operation, while the influence of the underlying IEDS on the upper energy system is reduced, as the tie-line power fluctuations are smoothed out.

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Li, Bing-dong, Xin-hua Zhang, Chong-Yu Xu, Hao Zhang, and Jin-xi Song. "Water balance between surface water and groundwater in the withdrawal process: a case study of the Osceola watershed." Hydrology Research 46, no. 6 (January 27, 2015): 943–53. http://dx.doi.org/10.2166/nh.2015.137.

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A generalized hierarchical approach with a water balance function is introduced to simulate stream-flow depletion in a complex groundwater system in Osceola County. The groundwater flow system at the site, because of the complex interaction between ambient streams, exhibits a unique multi-scale pattern that proves to be difficult to simulate using standard modelling tools. The hierarchical modelling system was first calibrated to water level measurements collected from monitoring wells. Afterwards, systematic hierarchical simulations and integrated water budget analyses were performed to evaluate the adverse resource impact of the ongoing water withdrawal. The multi-scale process-based results from this generic hierarchical modelling system provided critical storage and flux information that can be used to comprehensively assess the pros and cons of water resource development and management, such as artificial water withdrawal.

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Sienknecht, Tracy F., Richard J. Friedrich, Joseph J. Martinka, and Peter M. Friedenbach. "The implications of distributed data in a commercial environment on the design of hierarchical storage management." Performance Evaluation 20, no. 1-3 (May 1994): 3–25. http://dx.doi.org/10.1016/0166-5316(94)90003-5.

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Abburu, Sunitha, and Nitant Dube. "Ontology Concept-Based Management and Semantic Retrieval of Satellite Data." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 197–213. http://dx.doi.org/10.1515/jisys-2015-0082.

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AbstractSeveral satellite data receiving and distributing centers across the world support data storage, processing, and retrieval based on satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based satellite data management and retrieval methodology. This enhances the performance of the satellite data retrieval system and supports semantic queries. The performance of the retrieval system depends upon the strategy followed to maintain domain ontologies and satellite data instances. Three ontology-based satellite data management strategies are discussed, and their performance was evaluated by taking real and benchmark metrics. A semantic query set of 25 queries was chosen covering various concepts, subconcepts, and concept hierarchical-related queries that involve various SPARQL query constructs. The test bed is taken from real-time satellite data received from Kalpana-1 of various sizes of triple stores.

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Chen, Chin-Ling, Yu-Ting Tsai, Aniello Castiglione, and Francesco Palmieri. "Using bivariate polynomial to design a dynamic key management scheme for wireless sensor networks." Computer Science and Information Systems 10, no. 2 (2013): 589–609. http://dx.doi.org/10.2298/csis120907025c.

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Wireless sensor networks (WSN) have become increasingly popular in monitoring environments such as: disaster relief operations, seismic data collection, monitoring wildlife and military intelligence. The sensor typically consists of small, inexpensive, battery-powered sensing devices fitted with wireless transmitters, which can be spatially scattered to form an ad hoc hierarchically structured network. Recently, the global positioning system (GPS) facilities were embedded into the sensor node architecture to identify its location within the operating environment. This mechanism may be exploited to extend the WSN?s applications. To face with the security requirements and challenges in hierarchical WSNs, we propose a dynamic location-aware key management scheme based on the bivariate polynomial key predistribution, where the aggregation cluster nodes can easily find their best routing path to the base station, by containing the energy consumption, storage and computation demands in both the cluster nodes and the sensor nodes. This scheme is robust from the security point of view and able to work efficiently, despite the highly constrained nature of sensor nodes.

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Cheng, Eric Y., and Yen Lin Liu. "Adoption of Knowledge Management Technologies and Organisational Culture: An Exploratory Study." Journal of Information & Knowledge Management 07, no. 01 (March 2008): 15–29. http://dx.doi.org/10.1142/s0219649208001944.

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Organisational culture is increasingly recognised as a major facilitator or barrier to leverage intellectual assets. Early works have shown that there are various technologies that support knowledge management (KM). This research presents an empirical study designed to explore and investigate the sophisticated relationships between organisational culture and the adoption of KM technologies. According to empirical studies, organisational culture could be decomposed into five dimensions: rational, group, development, hierarchical and ethical culture. On the other hand, the application of KM technologies can be categorised into five major categories: creation, storage/retrieval, transfer, application and platform technology. A random sample of 1000 largest companies in Taiwan was chosen as target organisations for this study. Among them, 121 completed survey responses were received, which yielding an effective response rate of 12.1%. The result of the correlation analysis indicates that storage/retrieval and platform technologies have positive relationships with all the cultures, while creation technologies are positively correlated with ethical, group and development cultures; and application technologies with development and hierarchical cultures. However, in general, organisational culture and KM technologies are weakly correlated. Moreover, though the majority of corporations started to recognise the value and importance of KM, there are only a few technologies such as database, email, intranet and Internet that were highly adopted and frequently used in KM activities. There exists a huge gap between recognising the importance of KM and enthusiastically adopting KM technologies. This study contributes to the understanding of how organisational culture affects and interacts with KM technologies and in what ways. It also demonstrates the current status of KM technology adoption in Taiwan's large corporations.

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Palizban, Omid, Kimmo Kauhaniemi, and Josep M. Guerrero. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation." Renewable and Sustainable Energy Reviews 36 (August 2014): 428–39. http://dx.doi.org/10.1016/j.rser.2014.01.016.

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He, Junqiang, Changli Shi, Tongzhen Wei, Xianghua Peng, and Yajuan Guan. "Hierarchical optimal energy management strategy of hybrid energy storage considering uncertainty for a 100% clean energy town." Journal of Energy Storage 41 (September 2021): 102917. http://dx.doi.org/10.1016/j.est.2021.102917.

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Tso, William W., C. Doga Demirhan, Clara F. Heuberger, Joseph B. Powell, and Efstratios N. Pistikopoulos. "A hierarchical clustering decomposition algorithm for optimizing renewable power systems with storage." Applied Energy 270 (July 2020): 115190. http://dx.doi.org/10.1016/j.apenergy.2020.115190.

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Eren, Emre, and Umut Rıfat Tuzkaya. "Occupational health and safety-oriented medical waste management: A case study of Istanbul." Waste Management & Research 37, no. 9 (July 3, 2019): 876–84. http://dx.doi.org/10.1177/0734242x19857802.

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The outstanding pace of technological development around the world coupled with increasing population and rapid urbanization have brought along an ever-increasing demand for healthcare services. This trend results in an increasing amount and variety of medical wastes. Accordingly, the issue of effective collection, transportation and disposal of medical wastes, specifically in large cities, has become a critical concern from the viewpoint of urban logistics and holds great importance in terms of safety. This study aims to determine the safety of hospitals in their medical waste management function. The study involves the determination of medical waste management steps, establishment of a hierarchical structure, and weighting of the criteria within the established hierarchical structure by means of the analytic hierarchy process method. Afterwards, the extent to which these criteria are adopted in hospitals was evaluated by the medical waste management officers of those hospitals, and safety scores were obtained for each hospital by associating the results with the weighted values obtained by the analytic hierarchy process method. The model proposed for medical waste management problems encountered by healthcare institutions in Istanbul was implemented for a specific region of Istanbul province, and the obtained results were analyzed. Evaluation of the opinions of the healthcare officials for determination of the medical waste management safety scores showed that the “collection” criterion has significantly higher importance than the “temporary storage” and “transportation” criteria. “The effect on hospital personnel” sub-criterion of the “collection” criterion had the highest score. This revealed the importance of the collection process that takes place between storage and transportation, for evaluating the human waste-based risks.

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FITCH, DANIEL, and HAIPING XU. "A RAID-BASED SECURE AND FAULT-TOLERANT MODEL FOR CLOUD INFORMATION STORAGE." International Journal of Software Engineering and Knowledge Engineering 23, no. 05 (June 2013): 627–54. http://dx.doi.org/10.1142/s0218194013400111.

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Cloud computing allows for access to ubiquitous data storage and powerful computing resources through the use of web services. There are major concerns, however, with data security, reliability, and availability in the cloud. In this paper, we address these concerns by introducing a novel security mechanism for secure and fault-tolerant cloud information storage. The information storage model follows the RAID (Redundant Array of Independent Disks) concept by considering cloud service providers as independent virtual disk drives. As such, the model utilizes multiple cloud service providers as a cloud cluster for information storage, and a service directory for management of the cloud clusters including service query, key management, and cluster restoration. Our approach not only supports maintaining the confidentiality of the stored data, but also ensures that the failure or compromise of an individual cloud provider in a cloud cluster will not result in a compromise of the overall data set. To ensure a correct design, we present a formal model of the security mechanism using hierarchical colored Petri nets (HCPN), and verify some key properties of the model using model checking techniques.

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Jamal Ali, Bayad, and Govand Anwar. "A study of knowledge management alignment with production management: A study of carpet manufacture in Kurdistan region of Iraq." Vol-6, Issue-2, March - April 2021 6, no. 2 (2021): 346–60. http://dx.doi.org/10.22161/ijels.62.51.

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The manufacturing sector has been profoundly impacted by advances in project management knowledge. As a result, it is critical to optimize service development processes in every project. The aim of this research was to increase cement manufacturing production by applying knowledge management concepts and Knowledge management as a mediator. The study was conducted at various cement manufacturing facilities in Iraq's Kurdistan province. To quantify production improvement in cement companies, the researchers examined four facets of knowledge management: Knowledge creation, Knowledge storage management, knowledge sharing, and Knowledge application, with Knowledge management serving as a mediator. To conduct the current analysis, the researchers used a quantitative research approach in the form of a survey. The questionnaire was randomly distributed to 140 administrative employees of various cement manufacturing companies in the Kurdistan region. The researchers did, however, collect 128completed questionnaires. To assess developed research hypotheses, the study used hierarchical multiple regression analysis and the Sobel test. The findings indicated that all knowledge management elements (Knowledge creation, Knowledge storage development, knowledge sharing, and Knowledge application) had a clear and important positive relationship with increased production at carpet manufacturers in Iraq's Kurdistan region. Additionally, the findings indicated that all knowledge management concepts with a mediator (project management development program) had an indirect positive and important relationship with increased production at cement manufacturing facilities in Iraq's Kurdistan region.

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Rajasekhara Reddy, Gutturu, Nadavala Siva Kumar, Borelli Deva Prasad Raju, Gnanendra Shanmugam, Ebrahim H. Al-Ghurabi, and Mohammad Asif. "Enhanced Supercapacitive Performance of Higher-Ordered 3D-Hierarchical Structures of Hydrothermally Obtained ZnCo2O4 for Energy Storage Devices." Nanomaterials 10, no. 6 (June 19, 2020): 1206. http://dx.doi.org/10.3390/nano10061206.

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The demand for eco-friendly renewable energy resources as energy storage and management devices is increased due to their high-power density and fast charge/discharge capacity. Recently, supercapacitors have fascinated due to their fast charge–discharge capability and high-power density along with safety. Herein, the authors present the synthesis of 3D-hierarchical peony-like ZnCo2O4 structures with 2D-nanoflakes by a hydrothermal method using polyvinylpyrrolidone. The reaction time was modified to obtain two samples (ZCO-6h and ZCO-12h) and the rest of the synthesis conditions were the same. The synthesized structures were systematically studied through various techniques: their crystalline characteristics were studied through XRD analysis, their morphologies were inspected through SEM and TEM, and the elemental distribution and oxidation states were studied by X-ray photoelectron spectroscopy (XPS). ZCO-12h sample has a larger surface area (55.40 m2·g−1) and pore size (24.69 nm) than ZCO-6h, enabling high-speed transport of ions and electrons. The ZCO-12h electrode showed a high-specific capacitance of 421.05 F·g−1 (31.52 C·g−1) at 1 A·g−1 and excellent cycle performance as measured by electrochemical analysis. Moreover, the morphologic characteristics of the prepared hierarchical materials contributed significantly to the improvement of specific capacitance. The excellent capacitive outcomes recommend the 3D-ZnCo2O4 hierarchical peony-like structures composed of 2D-nanoflakes as promising materials for supercapacitors with high-performance.

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Polimeni, Simone, Alfredo Nespoli, Sonia Leva, Gianluca Valenti, and Giampaolo Manzolini. "Implementation of Different PV Forecast Approaches in a MultiGood MicroGrid: Modeling and Experimental Results." Processes 9, no. 2 (February 9, 2021): 323. http://dx.doi.org/10.3390/pr9020323.

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Microgrids represent a flexible way to integrate renewable energy sources with programmable generators and storage systems. In this regard, a synergic integration of those sources is crucial to minimize the operating cost of the microgrid by efficient storage management and generation scheduling. The forecasts of renewable generation can be used to attain optimal management of the controllable units by predictive optimization algorithms. This paper introduces the implementation of a two-layer hierarchical energy management system for islanded photovoltaic microgrids. The first layer evaluates the optimal unit commitment, according to the photovoltaic forecasts, while the second layer deals with the power-sharing in real time, following as close as possible the daily schedule provided by the upper layer while balancing the forecast errors. The energy management system is experimentally tested at the Multi-Good MicroGrid Laboratory under three different photovoltaic forecast models: (i) day-ahead model, (ii) intraday corrections and (iii) nowcasting technique. The experimental study demonstrates the capability of the proposed management system to operate an islanded microgrid in safe conditions, even with inaccurate day-ahead photovoltaic forecasts.

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Cavalli, Alessandro, Daniele Cesini, Enrico Fattibene, Andrea Prosperini, and Vladimir Sapunenko. "HSM and backup services at INFN-CNAF." EPJ Web of Conferences 214 (2019): 04009. http://dx.doi.org/10.1051/epjconf/201921404009.

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IBM Spectrum Protect (ISP) software, one of the leader solutions in data protection, contributes to the data management infrastructure operated at CNAF, the central computing and storage facility of INFN (Istituto Nazionale di Fisica Nucleare – Italian National Institute for Nuclear Physics). It is used to manage about 55 Petabytes of scientific data produced by LHC (Large Hadron Collider at CERN) and other experiments in which INFN is involved, stored on tape resources as the highest latency storage tier within HSM (Hierarchical Space Management) environment. To accomplish this task, ISP works together with IBM Spectrum Scale (formerly GPFS - General Parallel File System) and GEMSS (Grid Enabled Mass Storage System), an in-house developed software layer that manages migration and recall queues. Moreover, we perform backup/archive operation of main IT services running at CNAF, such as mail servers, configurations, repositories, documents, logs, etc. In this paper we present the current configuration of the HSM infrastructure and the backup and recovery service, with particular attention to issues related to the increasing amount of scientific data to manage, expected for the next years.

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Hu, Jianqiang, Songhao Jia, and Keshou Wu. "Semantic-Based Requirements Content Management for Cloud Software." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/474157.

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Cloud Software is a software complex system whose topology and behavior can evolve dynamically in Cloud-computing environments. Given the unpredictable, dynamic, elasticity, and on-demand nature of the Cloud, it would be unrealistic to assume that traditional software engineering can “cleanly” satisfy the behavioral requirements of Cloud Software. In particular, the majority of traditional requirements managements take document-centric approaches, which have low degree of automation, coarse-grained management, and limited support for requirements modeling activities. Facing the challenges, based on metamodeling frame called RGPS (Role-Goal-Process-Service) international standard, this paper firstly presents a hierarchical framework of semantic-based requirements content management for Cloud Software. And then, it focuses on some of the important management techniques in this framework, such as the native storage scheme, an ordered index with keywords, requirements instances classification based linear conditional random fields (CRFs), and breadth-first search algorithm for associated instances. Finally, a prototype tool called RGPS-RM for semantic-based requirements content management is implemented to provide supporting services for open requirements process of Cloud Software. The proposed framework applied to the Cloud Software development is demonstrated to show the validity and applicability. RGPS-RM also displays effect of fine-grained retrieval and breadth-first search algorithm for associated instance in visualization.

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Li, Li, Xiao Guang Li, Chang Hai Qin, and Xiu Tai Zhang. "Analysis and Research of AHP-Based Method Base." Applied Mechanics and Materials 121-126 (October 2011): 4382–85. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4382.

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This paper introduces that the representation and storage of hierarchical model via a database table, achieves the dynamic generation and management of model. It main achieves model base based on AHP. That addresses a number of unstructured or semi-structured problems such as assessment and prediction in the modeling. Focusing on the creation of their corresponding AHP-based method base is to solve practical problems. Experiments show that this method base can be well integrated with model base. So it will be applied in common AHP cases.

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Wang, Jinyan, Guoqing Cai, Chen Liu, Jingli Wu, and Xianxian Li. "A Multi-Level Privacy-Preserving Approach to Hierarchical Data Based on Fuzzy Set Theory." Symmetry 10, no. 8 (August 10, 2018): 333. http://dx.doi.org/10.3390/sym10080333.

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Nowadays, more and more applications are dependent on storage and management of semi-structured information. For scientific research and knowledge-based decision-making, such data often needs to be published, e.g., medical data is released to implement a computer-assisted clinical decision support system. Since this data contains individuals’ privacy, they must be appropriately anonymized before to be released. However, the existing anonymization method based on l-diversity for hierarchical data may cause a serious similarity attack, and cannot protect data privacy very well. In this paper, we utilize fuzzy sets to divide levels for sensitive numerical and categorical attribute values uniformly (a categorical attribute value can be converted into a numerical attribute value according to its frequency of occurrences), and then transform the value levels to sensitivity levels. The privacy model ( α l e v h , k)-anonymity for hierarchical data with multi-level sensitivity is proposed. Furthermore, we design a privacy-preserving approach to achieve this privacy model. Experiment results demonstrate that our approach is obviously superior to existing anonymous approach in hierarchical data in terms of utility and security.

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MAO, RUI, WEIJIA XU, NEHA SINGH, and DANIEL P. MIRANKER. "AN ASSESSMENT OF A METRIC SPACE DATABASE INDEX TO SUPPORT SEQUENCE HOMOLOGY." International Journal on Artificial Intelligence Tools 14, no. 05 (October 2005): 867–85. http://dx.doi.org/10.1142/s0218213005002430.

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Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can be leveraged as a basis for scalable database index structures capable of managing the hyper-exponential growth of sequence data. M-tree is one such data structure specialized for the management of large data sets on disk. We explore the application of M-trees to the storage and retrieval of peptide sequence data. Exploiting a technique first suggested by Myers, we organize the database as records of fixed length substrings. Empirical results are promising. However, metric-space indexes are subject to "the curse of dimensionality" and the ultimate performance of an index is sensitive to the quality of the initial construction of the index. We introduce new hierarchical bulk-load algorithm that alternates between top-down and bottom-up clustering to initialize the index. Using the Yeast Proteomes, the bi-directional bulk load produces a more effective index than the existing M-tree initialization algorithms.

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Faruqi, M. Humam Zaim, and Faisal Zia Siddiqui. "A mini review of construction and demolition waste management in India." Waste Management & Research: The Journal for a Sustainable Circular Economy 38, no. 7 (April 29, 2020): 708–16. http://dx.doi.org/10.1177/0734242x20916828.

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The growth of the Indian construction sector is expected to result in a significant demand–supply gap with respect to construction materials such as sand, limestone, and aggregates. Additionally, the vast quantity of unprocessed Construction and Demolition (C&D) waste pose serious problems in some places, particularly in residential, institutional, industrial or commercial construction hotspots. While several waste quantification methodologies have been proposed in the literature, the quantification of waste generation in India is inadequate. This inadequacy can be attributed to the lack of appropriate hierarchical control mechanism, absence of a common C&D waste estimation method, and the lack of C&D waste processing knowledge among generators, collectors, operators, regulators, and the general public. The C&D Waste Management Rules 2016 were introduced to ensure organized collection, storage, transportation, treatment/processing, and disposal of C&D waste in India and fix responsibilities of all stakeholders for management of C&D waste. This comprehensive research attempts to analyze the existing legislation and challenges, and proposes an information framework for organized collection, storage, treatment/processing, and disposal of C&D waste. The C&D waste processing mechanism, potential application of recycled C&D waste products, its limitations, and the best practices of C&D waste management in India are important constituents of the proposed framework.

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Humaida, Nida, Krisdianto Krisdianto, and Setia Budi Peran. "ESTIMATION OF CARBON STORAGE IN WATER LETTUCE (Pistia stratiotes) AT FRESHWATER SWAMPS." TROPICAL WETLAND JOURNAL 2, no. 2 (July 13, 2016): 38–46. http://dx.doi.org/10.20527/twj.v2i2.30.

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This study was conducted in Banjar Regency, in the areas of Keraton, Keramat Baru, Tungkaran, Akar Baru and Sungai Tabuk villages, South Kalimantan, from April-July 2009. The purpose of the study was to estimate the amount of carbon storage in water lettuce (Pistia stratiotes) at freshwater swamps. The information obtained through this study is expected to provide benefits for the swampland management. The swamplands observed were the ones with water lettuce growing in the swamps. The sampling was carried out using purposive sampling technique with the consideration of grouping water lettuce’s distribution. The carbon storage measurement was performed by measuring biomass, organic carbon percentage in water lettuce, and total carbon storage in m2. The organic carbon was analyzed using Walkey & Black's Method. There were also analyses of crude fiber and ash in water lettuce. Data were then analyzed using descriptive statistics and hierarchical clusters. The carbon storage in water lettuce at freshwater swamps in Banjar Regency ranged between 64.07 – 237.75 g/m2. The average crude fiber ranged between 19.89 - 24.94 % and ash between 20.91 - 28.69%.

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Chang, Jae-Won, Gyu-Sub Lee, Hyeon-Jin Moon, Mark B. Glick, and Seung-Il Moon. "Coordinated Frequency and State-of-Charge Control with Multi-Battery Energy Storage Systems and Diesel Generators in an Isolated Microgrid." Energies 12, no. 9 (April 28, 2019): 1614. http://dx.doi.org/10.3390/en12091614.

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Recently, isolated microgrids have been operated using renewable energy sources (RESs), diesel generators, and battery energy storage systems (BESSs) for an economical and reliable power supply to loads. The concept of the complementary control, in which power imbalances are managed by diesel generators in the long time scale and BESSs in the short time scale, is widely adopted in isolated microgrids for efficient and stable operation. This paper proposes a new complementary control strategy for regulating the frequency and state of charge (SOC) when the system has multiple diesel generators and BESSs. In contrast to conventional complementary control, the proposed control strategy enables the parallel operation of diesel generators and BESSs, as well as SOC management. Furthermore, diesel generators regulate the equivalent SOC of BESSs with hierarchical control. Additionally, BESSs regulate the frequency of the system with hierarchical control and manage their individual SOCs. We conducted a case study by using Simulink/MATLAB to verify the effectiveness of the proposed control strategy in comparison with conventional complementary control.

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Lee, Sangyoon, and Dae-Hyun Choi. "Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach." Sensors 20, no. 7 (April 10, 2020): 2157. http://dx.doi.org/10.3390/s20072157.

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This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed energy resources (DERs) including an energy storage system (ESS) and an electric vehicle (EV). Compared to Q-learning algorithms based on a discrete action space, the novelty of the proposed approach is that the energy consumptions of home appliances and DERs are scheduled in a continuous action space using an actor–critic-based DRL method. To this end, a two-level DRL framework is proposed where home appliances are scheduled at the first level according to the consumer’s preferred appliance scheduling and comfort level, while the charging and discharging schedules of ESS and EV are calculated at the second level using the optimal solution from the first level along with the consumer environmental characteristics. A simulation study is performed in a single home with an air conditioner, a washing machine, a rooftop solar photovoltaic system, an ESS, and an EV under a time-of-use pricing. Numerical examples under different weather conditions, weekday/weekend, and driving patterns of the EV confirm the effectiveness of the proposed approach in terms of total cost of electricity, state of energy of the ESS and EV, and consumer preference.

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Liu, Xiaoguang, Yanliang Wen, Xuecheng Chen, Tao Tang, and Ewa Mijowska. "Co-etching effect to convert waste polyethylene terephthalate into hierarchical porous carbon toward excellent capacitive energy storage." Science of The Total Environment 723 (June 2020): 138055. http://dx.doi.org/10.1016/j.scitotenv.2020.138055.

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Chen, Yuan, and Qing Ye. "Security Authentication Scheme Research for Wireless Sensor Networks." Applied Mechanics and Materials 687-691 (November 2014): 1802–5. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1802.

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Existing security authentication schemes are mostly concentrated on the key management and cryptographic algorithms. However, there are few authentication schemes designed according to the application needs. To solve this problem, considering the limited resource of wireless sensor networks and the practical application, a partially distributed authentication scheme is proposed. We use hierarchical network structure. Centralized authentication is used between the base station and cluster head nodes, while cluster head node and ordinary nodes use a distributed authentication. Analysis shows that this method has some advantages in the overhead of the storage, computing and communication, while network security can be guaranteed.

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Journal articles on the topic 'Hierarchical storage management'

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