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检索条件"主题词=distributed databases"

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distributed optimal scheduling of integrated energy system based on ADMM algorithm

Distributed optimal scheduling of integrated energy system b...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Yi Wu Liangzhong Yao Siyang Liao Beilin Mao Institute of Electrical and Automation Wuhan University Wuhan China

ISBN: (纸本)9781665414401

With the change of energy consumption structure, the integrated energy system coupled with multiple energy flows such as electricity, natural gas and heat is developing rapidly. At present, the decision-making center of the integrated energy park is the park dispatching control center. The dispatching process involves in the collection of distributed resource data, the joint centralized scheduling of multiple data, and the allocation and distribution of dispatching tasks. However, with the expansion of the scale of the integrated energy system, the centralized control center needs to collect and process a large amount of data, this depends on the strong computing power of the park control center and the reliable communication ability with distributed resources. For the future large-scale comprehensive energy park, centralized computing has many deficiencies. In this paper, the distributed computing method is used to decompose the joint scheduling problem into electric-gas subproblems, and the strong coupling relationship between electricity, natural gas and heat is considered; In the longitudinal consideration of source and reservoir interaction, a day ahead scheduling model considering economic cost and fluctuation cost of tie line is established. Finally, an example is given to analyze the feasibility of the distributed optimization model.

关键词： Costs Processor scheduling Computational modeling distributed databases Optimal scheduling Dispatching distributed algorithms

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Design and Verification of Logic Block Circuit in an SOI-Based FPGA

Design and Verification of Logic Block Circuit in an SOI-Bas...

引用

2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology(第十届固态和集成电路技术国际会议 ICSICT-2010)

作者： Xiaowei Han Stanley L. Chen Lihua Wu Yan Zhao Yan Li Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 P.R. China

A novel logic block circuit consisting of two multimode logic cells is proposed for the design of a tile-based FPGA fabricated with a 0.5um SOI-CMOS logic process. Each logic cell contains two 3-LUTs. The proposed 3-LUT based logic cell circuit increases logic density by about 12％ compared with a traditional 4-LLJT implementation. The logic block can be used in two functional modes: LUT mode and distributed RAM mode, the latter of which can be configured in two modes: Single-Port RAM and DualPort RAM. Comparing with the published data on the CLB in Xilinx Spartan FPGA, the maximum LUT logic propagation delay has about 20％ improvement and the distributed RAM average access time has about 21％ improvement.

关键词： Random access memory Field programmable gate arrays Table lookup Routing distributed databases Logic gates

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Big Spatial Data Systems - A review

Big Spatial Data Systems - A review

引用

International Conference on Engineering Technology and their Applications (IICETA)

作者： Noor Alsaedi Ali Sadeq Abdulhadi Jalal Information and Communication Engineering Dept. Collage of Information Engineering Al-Nahrain University Baghdad Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

With the accelerated growth of big spatial data volume produced by various devices, a plethora of development research to handle big spatial data has been done in the past decade. This research reviews the fundamental components and characteristics included in analytic systems for effectively managing big spatial data. After that, an overview of recent researches on big spatial data is discussed using four main components: source, storage, processing, and visualization. The components are then described in detail, including examples of how they are used in existing work. Afterward, some researchers’ work on systems of big spatial data is discussed showing how they support these four components. Furthermore, a comparison between these works is given in terms of the important performance metrics. Finally, this paper addresses the future research directions.

关键词： Soft sensors Query processing Data visualization distributed databases Throughput Reliability engineering Spatial databases

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distributed Dimension Reduction for distributed Massive MIMO C-RAN with Finite Fronthaul Capacity

Distributed Dimension Reduction for Distributed Massive MIMO...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Fred Wiffen Woon Hau Chin Angela Doufexi University of Bristol U.K. Bristol Research & Innovation Laboratory Toshiba Europe Limited U.K. Viavi Solutions Stevenage U.K.

The use of a large excess of service antennas brings a variety of performance benefits to distributed MIMO C-RAN, but the corresponding high fronthaul data loads can be problematic in practical systems with limited fronthaul capacity. In this work we propose the use of lossy dimension reduction, applied locally at each remote radio head (RRH), to reduce this fronthaul traffic. We first consider the uplink, and the case where each RRH applies a linear dimension reduction filter to its multiantenna received signal vector. It is shown that under a joint mutual information criteria, the optimal dimension reduction filters are given by a variant of the conditional Karhunen-Loeve transform, with a stationary point found using block co-ordinate ascent. These filters are then modified such that each RRH can calculate its own dimension reduction filter in a decentralised manner, using knowledge only of its own instantaneous channel and network slow fading coefficients. We then show that in TDD systems these dimension reduction filters can be re-used as part of a two-stage reduced dimension downlink precoding scheme. Analysis and numerical results demonstrate that the proposed approach can significantly reduce both uplink and downlink fronthaul traffic whilst incurring very little loss in MIMO performance.

关键词： Dimensionality reduction Precoding distributed databases Massive MIMO Information filters Downlink Throughput

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Set reconciliation in multi-node environment

Set reconciliation in multi-node environment

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International Conference on Computing and Networking Technology (ICCNT)

作者： Aravind Selvan CA Technologies India Technology Center Hyderabad India

ISBN: (纸本)9781479939275

Set reconciliation between nodes without prior context is an interesting problem that has numerous applications. Finding the set difference between two sets forms the basis of set reconciliation and de-duplication problems. As the number of devices spread across diverse networks required to be kept in sync is increasing, the cost of communication is increasingly proportionately. In this paper, I propose an effective scheme in terms of communication cost to reconcile the distributed data on all the nodes that don't have any prior context of the other nodes.

关键词： Peer-to-peer computing Synchronization Context distributed databases Software Computers Indexes

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Large Scale Machine Translation Language Model Training System Based on Spark

Large Scale Machine Translation Language Model Training Syst...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International Conference on

作者： Yan Hu Department of English Education Shandong Vocational College of Light Industry Zibo Shandong China

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

When faced with large language datasets, machine translation language models are difficult to process, resulting in low accuracy and efficiency of translation. Therefore, this study constructs a framework based on Firstly, by installing Apache Spark and configuring its integration with Hadoop distributed File System (HDFS), a distributed computing environment capable of parallel data processing is established to support rapid processing of large-scale data. Then, the distributed storage system HDFS is adopted to optimize data access efficiency and reduce IO (Input/Output) bottlenecks. Finally, a new iterative training strategy is implemented to gradually improve the translation accuracy of the model through incremental learning. Under the optimal configuration, the combination of a learning rate of 0.1 and batch processing of 2048 achieves a BLEU score of up to 30.8%, with training lasting only 4 hours. This study demonstrates the effectiveness of a large-scale machine translation language model training system based on Spark in improving translation efficiency and accuracy.

关键词： Training Translation Accuracy Computational modeling distributed databases Cluster computing Parallel processing Data models Machine translation Sparks

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Fingerprinting Network Device Based on Traffic Analysis in High-Speed Network Environment

Fingerprinting Network Device Based on Traffic Analysis in H...

引用

International Conference on Advanced Cloud and Big Data (CBD)

作者： Yiting Zhang Ming Yang Xiaodan Gu Peilong Pan Zhen Ling School of Computer Science and Engineering Southeast University Nanjing China

The identification of network device is of vital importance to strengthen network identity management and maintain cyberspace security. However, traditional device identification technologies based on the MAC address, IP address or other explicit identifiers can be deactivated if the identifier is hidden or tampered. Meanwhile, the existing device fingerprinting technology is also restricted by its limited performance and excessive time lapse. In order to realize device identification in high-speed network environment, PFQ kernel module and Storm are used for high-speed packet capture and online traffic analysis, respectively. On this basis, a novel device fingerprinting technology based on runtime environment analysis is proposed, which employs logistic regression to implement online identification with a sliding window mechanism, reaching a recognition accuracy of 77.03% over a 60-minute period. Moreover, performance test results show that the proposed technology can support over 10Gbps traffic capture and online analysis, and the system architecture is justified in practice because of its practicability and extensibility.

关键词： Object recognition Protocols Fingerprint recognition Storms distributed databases High-speed networks Data communication

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Enabling central access to marine data: Data portal German marine research

Enabling central access to marine data: Data portal German m...

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OCEANS - Europe

作者： Roland Koppe Angela Schäfer Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Bremerhaven Germany

Timely access to quality data and linkage of data beyond disciplinary boundaries is essential for the marine research community. Therefore the national “Marine Network for Integrated Data Access” is establishing the “Data Portal German Marine Research” to facilitate seamless access to marine data and services and to promote the exchange and dissemination of marine data interlinked with corresponding scientific publications. In that course the data portal was conceptualized and developed to provide a “one-stop-shop” approach to marine research data from various data providers in terms of coherent discovery, view, download and dissemination of scientific data and publications. The data portal is based on a central harvesting and interfacing approach by connecting distributed data sources. To achieve interoperability the data portal makes use of internationally endorsed standards (e.g., ISO, OGC, OAI-PMH). In this paper we provide information on details of content, functionality, services, architecture, interfaces and standards of the data portal and the network of contributing data providers.

关键词： Portals Metadata XML distributed databases ISO Standards Feature extraction

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Resource Allocation for distributed Streaming Applications

Resource Allocation for Distributed Streaming Applications

引用

International Conference on Parallel Processing (ICPP)

作者： Qian Zhu Gagan Agrawal Department of Computer Science and Engineering Ohio State Uinversity Columbus OH USA

ISBN: (纸本)9781424432134

We consider resource allocation for distributed streaming applications running in a grid environment, where continuously streaming data needs to be aggregated and processed to produce output streams. Because such an application comprises a pipeline of processing stages, both communication and computational requirements need to be taken into account while performing resource allocation. In this paper, we give a rigorous formulation of this resource allocation problem, based on the DAG representation of the application as well as the environment. We have shown how we can use the notion of subgraph isomorphism and developed an effective resource allocation algorithm. The main observations from the experiments we conducted to evaluate our algorithms were as follows: the overhead caused by our algorithm is comparable to an existing algorithm, Streamline, which is based onheuristics. At the same time, the application performance was improved by 30% on average. When compared to the allocation performed by the optimal algorithm, which enumerates all mappings, the application performance with our algorithm was within 4%. At the same time, unlike the optimal algorithm, our algorithm scaled well to large graphs.

关键词： Resource management Heuristic algorithms distributed databases Data models Streaming media Real time systems Book reviews

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Integrity Audit Scheme Based on Collaborative Cache in Industrial Internet of Things Environment

Integrity Audit Scheme Based on Collaborative Cache in Indus...

引用

International Symposium on Parallel and distributed Processing with Applications, ISPA

作者： Ruizhong Du Ziyuan Wang Yiwei Wang Jiawei Shen Hebei University China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

Edge caching can provide a limited delay guarantee for delay-sensitive industrial applications. However, in a highly distributed edge environment, cached data is prone to be damaged, and its integrity must be ensured. In this paper, we propose an integrity audit scheme based on collaborative caching in the Industrial Internet of Things (IIoT) environment. This scheme shifts the data storage function from the cloud core network to the edge network, allowing cooperation to fulfill user requests. Firstly, an end-edge-cloud collaborative caching mechanism is designed, partitioning cache space and achieving hierarchical placement through edge collaboration. Secondly, a cache value function combining content recommendation and cost is proposed; cache hit rate and value serve as constraints for replacement and update to dynamically adjust cache data in the edge network. Finally, the analysis proves the correctness and reliability of the scheme. Experimental results show that this scheme can quickly and effectively audit cached data, reduce waiting delay of industrial tasks, and address resource waste from invalid audits.

关键词： Cloud computing distributed processing Collaboration distributed databases Memory User experience Delays Reliability Low latency communication Industrial Internet of Things

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