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检索条件"主题词=distributed databases"

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A novel design for Data Processing Framework of Park-level Power System with Data Mesh concept

A novel design for Data Processing Framework of Park-level P...

引用

IEEE International Conference on Energy Internet (ICEI)

作者： Jin Li Shixia Cai Lei Wang Mingyang Li Jiamao Li Hui Tu Alibaba Cloud Intelligence Beijing China Alibaba Cloud Intelligence Shenzhen China

Building a new-type power system with renewable energy is the key to achieving the target of carbon peak and carbon neutrality, which has been the consensus of the clean, low-carbon, and safe energy transition. The construction of a new-type power system at the industrial park level is the first demonstration of the coordinated optimization and intelligent control of power sources, grid, load, and energy storage to make overall planning to achieve diversified development. To sustain the ‘balance, security, diversity, and low cost’ construction goals of the new-type power system at the park level, the power grid dispatching and control system is transformed to the direction of intelligence and automation, which is reflected in the rapid emergence and construction of complex systems such as digital twin, simulation, reinforcement learning, model training and prediction, and intelligent decision-making of the EMS (Energy Manage System). This brings more complex data sharing, interaction, construction, and other technical requirements than ever before. At the same time, along with the simultaneous construction of new power systems such as micro-grids, virtual power plants, and distributed photovoltaic systems, it has exacerbated the problems of data divergence from business, low data utilization, and centralized architecture brought by the data lakes and data warehouses under the previous monolithic architecture, leading to the data model hard to deploy to meet the demand for efficient collection, interaction, and sharing of scattered and heterogeneous data under the new generation energy structure and greatly increases the work pressure of the data team, making the data team a bottleneck for business applications. Therefore, this paper proposes a novel design scheme of data processing framework with the data mesh concept, supports the federal computing and analysis engine by building a distributed metadata center, changes the previous centralized data modeling method t

关键词： Automation Buildings distributed databases Computer architecture Predictive models Metadata Data processing

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Study on the Information Database and Retrieval System of Aircraft Development Based on CALS

Study on the Information Database and Retrieval System of Ai...

引用

International Conference on Network Computing and Information Security (NCIS)

作者： Dongmei Ni Li Wang Guoping Xia School of Economics and Management BeiHang University China

On the basis of the analysis of the major elements and the keystone of the CALS, this paper proposed the information database and retrieval system of aircraft development based on CALS, which is divided into four part... 详细信息

关键词： Aircraft Database systems distributed databases Servers Browsers Data warehouses

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How does Oracle Database In-Memory scale out?

How does Oracle Database In-Memory scale out?

引用

International Joint Conference on Software Technologies (ICSOFT)

作者： Niloy Mukherjee Kartik Kulkarni Hui Jin Jesse Kamp Tirthankar Lahiri Oracle Corporation Redwood Shores U.S.A.

ISBN: (纸本)9781467385312

The Oracle RDBMS In-memory Option (DBIM), introduced in 2014, is an industry-first distributed dual format in-memory RDBMS that allows a database object to be stored in columnar format purely in-memory, simultaneously maintaining transactional consistency with the corresponding row-major format persisted in storage and accessed through in-memory database buffer cache. The in-memory columnar format is highly optimized to break performance barriers in analytic query workloads while the row format is most suitable for OLTP workloads. In this paper, we present the distributed architecture of the Oracle Database In-memory Option that enables the in-memory RDBMS to transparently scale out across a set of Oracle database server instances in an Oracle RAC cluster, both in terms of memory capacity and query processing throughput. The architecture allows complete application-transparent, extremely scalable and automated in-memory distribution of Oracle RDBMS objects across multiple instances in a cluster. It seamlessly provides distribution awareness to the Oracle SQL execution framework, ensuring completely local memory scans through affinitized fault-tolerant parallel execution within and across servers without explicit optimizer plan changes or query rewrites.

关键词： Sociology Statistics distributed databases Indexes Engines Buffer storage

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Does MOOC really work effectively

Does MOOC really work effectively

引用

IEEE International Conference in MOOC Innovation and Technology in Education (MITE)

作者： Di Chen Yunping Feng Zihao Zhao Jianwei Jiang Jianbo Yu School of Software MOOCs Institute MOOCs Promotion Office Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781479968770

Online education has gained great attention in recent years. MOOCs allow people to take courses with no limits on time and geographic locations. But with the rapid development of online education, few people put emphasis on the quality of online education. More people concentrate on the spreading and expansion. There is still much to study and talk about. The paper builds a distributed data warehouse and analyzes the course data from Coursera. It measures the real quality and effects of online education in country distribution, homework completion, grading policy and peer assessments. The paper introduces a new grading policy for peer assessment and talks about the current problems and the future development of MOOCs.

关键词： Educational institutions History Data warehouses Standards Servers distributed databases

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Pattern recognition by distributed coding: test and analysis of the power space similarity method

Pattern recognition by distributed coding: test and analysis...

引用

International Workshop on Frontiers in Handwriting Recognition

作者： T. Kobayashi M. Nakagawa Graduate School of Technology Tokyo University of Agriculture슠and슠Technology Koganei Tokyo Japan

This paper considers pattern recognition methods using distributed coding. These methods permit rapid learning from a large number of training samples; their recognition speed is high regardless of the size of the learning samples. This paper presents both basic algorithm and extended algorithms. Experiments with a large database of off-line handwritten numeric patterns are then described using the power space similarity method, being a type of distributed coding. Finally the effectiveness of the technique is considered.

关键词： Pattern recognition Testing Pattern analysis Space technology Spatial databases Learning systems Neural networks Handwriting recognition Agriculture distributed databases

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Generative Adversarial Networks for Synthetic Jamming Attacks on UAVs

Generative Adversarial Networks for Synthetic Jamming Attack...

引用

International Conference on Computer Science and Engineering (UBMK)

作者： Burcu Sönmez Sarikaya Şerif Bahtiyar Department of Computer Engineering Cyber Security and Privacy Research Lab. SPFLab Istanbul Technical University Istanbul Türkiye

ISBN: (数字)9798350365887

ISBN: (纸本)9798350365894

Intrusion Detection Systems (IDS) have been significant for Unmanned Aerial Vehicles (UAVs) since high connectivity is essential for such vehicles. Recently, machine learning-based defense mechanisms have contributed to detecting intrusions. Data are crucial to better results with machine learning algorithms. However, security data is not freely distributed so there is a lack of security-related data about UAVs that can be processed with machine learning. In this research, we create synthetic security data for UAVs using Generative Adversarial Networks (GANs) that can be utilized to develop machine learning-based IDS systems. We propose employing Conditional Tabular Generative Adversarial Networks (CTGANs), Gaussian copulas, and Variational AutoEncoders (VAEs) to generate syn-thetic jamming attacks from the widely-used UAV attack dataset. We experimentally evaluated the performance of each model by using many metrics, such as Kullback-Leibler decomposition. Experimental results show that the distribution of CTGAN synthetic data is similar to the distribution of real data. Finally, we created a machine learning-based IDS and applied it to each dataset to validate the success rate of intrusion detection with newly generated synthetic data. It was observed that CTGAN-generated data decreased the IDS accuracy by approximately 25%, while Gaussian copula-generated data resulted in a 20% decrease, and VAE-generated data led to a 1% reduction, all relative to the accuracy achieved with real data. These findings suggest that synthetic data generation holds significant potential for enhancing the security frameworks of UAVs. The experimental results demonstrate that the CTGAN model is particularly effective in producing synthetic data that challenges traditional intrusion detection mechanisms, thereby contributing to the development of more robust IDS capabilities.

关键词： Machine learning algorithms Intrusion detection distributed databases Machine learning Autonomous aerial vehicles Generative adversarial networks Vectors Security Jamming Synthetic data

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Supporting updates in heterogeneous distributed database systems

Supporting updates in heterogeneous distributed database sys...

引用

International Conference on Data Engineering

作者： A.K. Elmagarmid A.A. Helal Computer Engineering Program Pennsylvania State University University Park PA USA

The performance is studied of atomic updates across different database management systems (DBMSs). An optimistic concurrency-control algorithm is proposed that allows a subclass of global transactions to concurrently retrieve and update the multiple databases, while it places no restriction on the concurrency-control mechanisms used by each of the local DBMSs, thus maintaining local autonomy.< >

关键词： Database systems Transaction databases Concurrency control distributed databases LAN interconnection Data models System recovery Data engineering Management information systems Information retrieval

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Using data science for detecting outliers with k Nearest Neighbors graph

Using data science for detecting outliers with k Nearest Nei...

引用

International Conference on ICT For Smart Society (ICISS)

作者： Asniar Kridanto Surendro School of Applied Science Telkom University Bandung Indonesia Institut Teknologi Bandung Bandung Jawa Barat ID

Data science is a process for extracting knowledge from data using fundamental principles of analytical techniques such as statistics in order to achieve business goals. Detecting outliers is one case of data science which try to find extreme values or odd from a set of data based on the techniques and the principles of statistical calculations where data previously not utilized being to be utilized. It is intended to improve the quality of decision making in order to achieve business goal. This study tried to do the analysis and modeling of data science for detecting outliers by using k nearest neighbors graph. Finally, this study delivers the model of data science for detecting outliers by using k Nearest Neighbors (kNN) graph with k-distance calculation method.

关键词： Standards Data visualization Data models Analytical models Decision making distributed databases

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Consistency in a model for distributed learning with specialists

Consistency in a model for distributed learning with special...

引用

IEEE International Symposium on Information Theory

作者： J.B. Predd S.R. Kulkarni H.V. Poor Department Electrical Engineering Princeton University Engineering Princeton NJ USA

Motivated by sensor networks and traditional methods of statistical pattern recognition, a model for distributed learning is formulated. The model is in line with learning models considered in the context of Stone-type classifiers, but differs in the dependency structure of the sampling process; questions of universal consistency are addressed.

关键词： Context modeling Sampling methods Sensor arrays Monitoring Random variables Intelligent networks Pattern recognition Statistical distributions Training data distributed databases

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BESPOKV: Application Tailored Scale-Out Key-Value Stores 18

BESPOKV: Application Tailored Scale-Out Key-Value Stores

引用

ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

作者： Ali Anwar Yue Cheng Hai Huang Jingoo Han Hyogi Sim Dongyoon Lee Fred Douglis Ali R. Butt IBM Research-Almaden George Mason University IBM Research-T.J. Watson Virginia Tech Oak Ridge National Laboratory Perspecta Labs

ISBN: (纸本)9781538683859

Enterprise KV stores are not well suited for HPC applications, and entail customization and cumbersome end-to-end KV design to extract the HPC application needs. To this end, in this paper we present BESPOKV, an adaptive, extensible, and scale-out KV store framework. BESPOKV decouples the KV store design into the control plane for distributed management and the data plane for local data store. BESPOKV takes as input a single-server KV store, called a datalet, and transparently enables a scalable and fault-tolerant distributed KV store service. The resulting distributed stores are also adaptive to consistency or topology requirement changes and can be easily extended for new types of services. Experiments show that BESPOKV-enabled distributed KV stores scale horizontally to a large number of nodes, and performs comparably and sometimes better than the state-of-the-art systems.

关键词： Topology distributed databases Nonvolatile memory Network topology Metadata Libraries distributed management distributed databases KILOVOLT shopping mall Nonvolatile memory distributed management Network topology Metadata topology Libraries control surfaces

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