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作者： Gazzarri, Leonardo Herschel, Melanie Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

Entity resolution (ER) refers to the problem of finding which virtual representations in one or more data sources refer to the same real-world entity. A central question in ER is how to find matching entity representations (so called duplicates) efficiently and in a scalable way. One general technique to address these issues is to leverage parallelization. In particular, almost all work on parallel ER focus on data parallelism. This paper focuses on task parallelism for ER. This type of parallelism allows to support incremental ER that offers incremental computation of the solution by streaming results of intermediate stages of ER as soon as they are computed. This possibly allows to obtain results in a more timely fashion and can also serve in a service-oriented setting with limited time or monetary budget. In summary, this paper presents a framework for task-parallelization of ER, supporting in particular ER of large amounts of semi-structured and heterogeneous data. We also discuss a possible implementation of our framework. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Software engineering

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含分布式能源的配电网实时最优潮流分布式算法

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电力系统自动化 2020年第20期44卷 54-61页

作者：李克强韩学山电网智能化调度与控制教育部重点实验室(山东大学) 山东省济南市250061

提出一种含分布式能源的配电网实时最优潮流分布式算法。首先,该算法在获取电压状态量的实时数据后,利用原问题的二阶泰勒展开对状态量进行一次修正,并将修正结果用于控制量的计算和分布式能源的功率控制,给出了该方法在连续执行后的可... 详细信息

提出一种含分布式能源的配电网实时最优潮流分布式算法。首先,该算法在获取电压状态量的实时数据后,利用原问题的二阶泰勒展开对状态量进行一次修正,并将修正结果用于控制量的计算和分布式能源的功率控制,给出了该方法在连续执行后的可行性分析。然后,利用海森阵的稀疏特性,提出了海森阵元素的分解、并行计算方法和修正方程的分布式高斯消去法,从而实现算法的分布式求解。最后,通过算例分析验证了所提算法的可行性和有效性。

关键词：配电网分布式能源最优潮流高斯消去法分布式算法

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Interfacing energy management with supervisory control for hybrid power plants

Interfacing energy management with supervisory control for h...

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20th International workshop on Large-Scale Integration of Wind Power into Power systems as well as on Transmission Networks for Offshore Wind Power Plants (WIW 2021)

作者： Q. Long R. Zhu K. Das P. E. Sørensen DTU Wind Energy Technical University of Denmark Roskilde Denmark

Variability and uncertainties of wind and solar bring significant challenges into power system operation and control. Hybrid power plants (HPPs), which incorporates the complementary nature of wind and solar together with other technologies, such as energy storage, is a solution to cope with these challenges. To maximize the revenue and enable the operation of HPPs, the energy management system and the supervisory controller are both needed, namely the HPP EMS and the HPPC. The HPP EMS provides optimal dispatch strategies in order to maximize the revenue through market bids. Meanwhile, the HPPC executes dispatch plans from the HPP EMS in a real-time fashion. The paper highlights a new design of HPP EMS and HPPC with a focus on interface design between the two. The variables exchanged between the HPP EMS and the HPPC are presented, and practical issues such as time coordination and robustness over communication failure are discussed in detail.

关键词： distributed power generation energy management systems energy storage hybrid power systems optimisation power generation dispatch power generation economics power markets solar power stations

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On the Performance of Stream-based, Class-based time-aware Shaping and Frame Preemption in TSN 21

On the Performance of Stream-based, Class-based Time-aware S...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Hellmanns, David Falk, Jonathan Glavackij, Alexander Hummen, Rene Kehrer, Stephan Duerr, Frank Univ Stuttgart Inst Parallel & Distributed Syst D-70569 Stuttgart Germany Hirschmann Automat & Control GmbH CTO Off D-72654 Neckartenzlingen Germany

ISBN: (纸本)9781728157542

time-sensitive Networking (TSN) is an evolving group of IEEE standards for deterministic real-time communication making standard Ethernet technology applicable to safety-critical application domains such as manufacturing or auto-motive systems. TSN includes several mechanisms influencing the timely forwarding of traffic, in particular, a time-triggered scheduling mechanism called time-aware shaper (TAS) and frame preemption to reduce the blocking time of high-priority traffic by low-priority traffic. Although these mechanisms have been standardized and products implementing them begin to enter the market, it is still hard for practitioners to select and apply suitable mechanisms fitting the problem at hand. For instance, TAS schedules can be calculated for individual streams or classes of traffic, and frame preemption with strict priority scheduling (w/o TAS) might seem to be an option in networks with extremely high data rates. In this paper, we make a first step towards assisting practitioners in making an informed decision when choosing between stream-based TAS, class-based TAS, and frame preemption by comparing these mechanisms in selected scenarios using our TSN network simulation tool NeSTiNg. Moreover, to facilitate the application of class-based TAS, we derive a formula for calculating class-based TAS configuration.

关键词： real-time communication time-sensitive networking TSN scheduling frame preemption

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BEI-TAB: Enabling Secure and distributed Airport Baggage Tracking with Hybrid Blockchain-Edge System

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WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2021年第1期2021卷

作者： Si, Pengbo Wang, Fei Sun, Enchang Su, Yuzhao Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China

Global air transport carries about 4.3 billion pieces of baggage each year, and up to 56 percent of travellers prefer obtaining real-time baggage tracking information throughout their trip. However, the traditional baggage tracking scheme is generally based on optical scanning and centralized storage systems, which suffers from low efficiency and information leakage. In this paper, a blockchain and edge computing-based Internet of Things (IoT) system for tracking of airport baggage (BEI-TAB) is proposed. Through the combination of radio frequency identification technology (RFID) and blockchain, real-time baggage processing information is automatically stored in blockchain. In addition, we deploy Interplanetary File System (IPFS) at edge nodes with ciphertext policy attribute-based encryption (CP-ABE) to store basic baggage information. Only hash values returned by the IPFS network are kept in blockchain, enhancing the scalability of the system. Furthermore, a multichannel scheme is designed to realize the physical isolation of data and to rapidly process multiple types of data and business requirements in parallel. To the best of our knowledge, it is the first architecture that integrates RFID, IPFS, and CP-ABE with blockchain technologies to facilitate secure, decentralized, and real-time characteristics for storing and sharing data for baggage tracking. We have deployed a testbed with both software and hardware to evaluate the proposed system, considering the performances of transaction processing time and speed. In addition, based on the characteristics of consortium blockchain, we improved the practical Byzantine fault tolerance (PBFT) consensus protocol, which introduced the node credit score mechanism and cooperated with the simplified consistency protocol. Experimental results show that the credit score-based PBFT consensus (CSPBFT) can shorten transaction delay and improve the long-term running efficiency of the system.

关键词： Blockchain

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parallel Closed-Loop Connected Vehicle Simulator for Large-Scale Transportation Network Management: Challenges, Issues, and Solution Approaches

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IEEE INTELLIGENT TRANSPORTATION systems MAGAZINE 2019年第4期11卷 62-77页

作者： Hoque, Mohammad A. Hong, Xiaoyan Ahmed, Salman East Tennessee State Univ Vehicular Network Lab 2109 W Market StSuite 125 Johnson City TN 37604 USA Univ Alabama Dept Comp Sci Tuscaloosa AL 35487 USA Virginia Tech Comp Sci Blacksburg VA USA

The augmented scale and complexity of urban transportation networks have significantly increased the execution time and resource requirements of vehicular network simulations, exceeding the capabilities of sequential simulators. The need for a parallel and distributed simulation environment is inevitable from a smart city perspective, especially when the entire city-wide information system is expected to be integrated with numerous services and ITS applications. In this paper, we present a conceptual model of an Integrated distributed Connected Vehicle Simulator (IDCVS) that can emulate real-time traffic in a large metro area by incorporating hardware-in-the-loop simulation together with the closed-loop coupling of SUMO and OMNET++. We also discuss the challenges, issues, and solution approaches for implementing such a parallel closed-loop transportation network simulator by addressing transportation network partitioning problems, synchronization, and scalability issues. One unique feature of the envisioned integrated simulation tool is that it utilizes the vehicle traces collected through multiple roadway sensors-DSRC onboard unit, magnetometer, loop detector, and video detector. Another major feature of the proposed model is the incorporation of hybrid parallelism in both transportation and communication simulation platforms. We identify the challenges and issues involved in IDCVS to incorporate this multi-level parallelism. We also discuss the approaches for integrating hardware-in-the-loop simulation, addressing the steps involved in preprocessing sensor data, filtering, and extrapolating missing data, managing large real-time traffic data, and handling different data formats.

关键词： real-time systems Data models Protocols Wireless networks Computational modeling

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distributed Computation of a Robust Estimator Based on Cauchy Noises

Distributed Computation of a Robust Estimator Based on Cauch...

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IEEE Conference on Decision and Control

作者： Nathaniel Snyder Moshe Idan Jason L. Speyer UCLA Faculty of Aerospace Engineering Technion Haifa Israel

ISBN: (纸本)9781665436601

A real-time, recursive, multivariate estimation algorithm for time-invariant and time-varying linear systems with modelled Cauchy noises is developed. When previously compared to the Kalman Filter, the Multivariate Cauchy Estimator was shown to be robust against impulsive disturbances in the process or measurement functions, but proved computationally intractable for real-time estimation applications. Two significant insights allow for a reformulation of the Multivariate Cauchy Estimator to possess a streamlined recursive and computationally reduced characteristic function of the conditional probability density function of the system state-vector given the measurement sequence. This characteristic function is represented by a sum of terms, expanding with each measurement. First, we show that a cell-enumeration matrix can be computed for each hyperplane arrangement embedded within each term of the characteristic function of the Cauchy Estimator. We then show that functions used to formulate the terms of this characteristic function can be expressed as a vector of parameters operating on basis functions constructed from this enumeration matrix. This vector is obtained by solving an under-determined system of equations. We demonstrate that our reformulation allows all terms with equal hyperplane arrangements to be reduced into a unique set. Secondly, we take advantage of advances in parallel processing to exploit the inherent parallelism found in the characteristic function of the Cauchy Estimator. A three state time-invariant system example is used to illustrate the performance of the Cauchy Estimator against the Kalman Filter when subjected to Gaussian and Cauchy noises. We report computational savings of over 99% when compared to the previous formulation. Furthermore, we discuss the real-time architecture of the Cauchy Estimator and report the execution speeds for a three-state system implemented on a single NVIDIA GeForce GTX 1060 graphics processing unit (GPU).

关键词： Linear systems Graphics processing units Estimation Probability density function parallel processing real-time systems Mathematical models

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A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one

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FUTURE GENERATION COMPUTER systems-THE INTERNATIONAL JOURNAL OF ESCIENCE 2020年 113卷 281-297页

作者： Ramon-Cortes, Cristian Lordan, Francesc Ejarque, Jorge Badia, Rosa M. Barcelona Supercomp Ctr BSC Barcelona Spain

In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these simulations are combined with High-Performance Data Analytics (HPDA). To implement these workflows, developers are currently using different patterns;mainly task-based and dataflow. However, since these patterns are usually managed by separated frameworks, the implementation of these applications requires to combine them;considerably increasing the effort for learning, deploying, and integrating applications in the different frameworks. This paper tries to reduce this effort by proposing a way to extend task-based management systems to support continuous input and output data to enable the combination of task-based workflows and dataflows (Hybrid Workflows from now on) using a single programming model. Hence, developers can build complex Data Science workflows with different approaches depending on the requirements. To illustrate the capabilities of Hybrid Workflows, we have built a distributed Stream Library and a fully functional prototype extending COMPSs, a mature, general-purpose, task-based, parallel programming model. The library can be easily integrated with existing task-based frameworks to provide support for dataflows. Also, it provides a homogeneous, generic, and simple representation of object and file streams in both Java and Python;enabling complex workflows to handle any data type without dealing directly with the streaming back-end. During the evaluation, we introduce four use cases to illustrate the new capabilities of Hybrid Workflows;measuring the performance benefits when processing data continuously as it is generated, when removing synchronisation points, when processing external real-time data, and when combining task-based workflows and dataflows at different levels. The users identifying these patterns in their workflows may use the presented uses cases (and their performance improvements) as

关键词： Task-based Workflows Dataflows Streaming Convergence HPC - Big Data distributed Computing Programming Models

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parallel Mining of Partial Periodic Itemsets in Big Data 33rd

Parallel Mining of Partial Periodic Itemsets in Big Data

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33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent systems (IEA/AIE)

作者： Saideep, C. Kiran, R. Uday Zettsu, Koji Wu, Cheng-Wei Reddy, P. Krishna Toyoda, Masashi Kitsuregawa, Masaru Int Inst Informat Technol Hyderabad Hyderabad Telangana India Natl Inst Informat & Commun Technol Tokyo Japan Univ Tokyo Tokyo Japan Univ Aizu Aizu Wakamatsu Fukushima Japan Natl Ilan Univ Yilan Taiwan Natl Inst Informat Tokyo Japan

ISBN: (纸本)9783030557881;9783030557898

Partial Periodic itemsets are an important class of regularities that exist in a temporal database. A Partial Periodic itemset is something persistent and predictable that appears in the data. Past studies on Partial Periodic itemsets have been primarily focused on centralized databases and are not scalable for Big Data environments. One cannot ignore the advantage of scalability by using more resources. This is because we deal with large databases in a real-time environment and using more resources can increase the performance. To address the issue we have proposed a parallel algorithm by including the step of distributing transactional identifiers among the machines and mining the identical itemsets independently over the different machines. Experiments on Apache Spark's distributed environment show that the proposed approach speeds up with the increase in a number of machines.

关键词： Data mining Periodic pattern mining time series MapReduce Big data analytics Spark

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Power Distribution Strategy & real-time Simulation for VSG-controlled parallel PV/Battery Microgrid Using RT-LAB 10

Power Distribution Strategy & Real-time Simulation for VSG-c...

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IEEE 10th International Symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Mao, Meiqin Hu, Jian Chang, Liuchen Hefei Univ Technol Hefei 230009 Peoples R China

ISBN: (纸本)9781728124551

In current inverters of microgrids controlled by virtual synchronous generator (VSG) method, the characteristics of the DC sources are usually ignored which leads its lower utilization. In this paper, a power distribution strategy is proposed for an islanded microgrid consisting of parallel PV (photovoltaic)/Battery-VSG units to maximize the utilization of PV generation. The proposed control strategy is verified by building a real-time RT-LAB simulation model with second control for the microgrid with two parallel PV/Battery-VSG units. The simulation results show that this strategy can guarantee the maximize use of PV unit by dynamically adjusting inverter control parameters. In addition, the real-time simulation platform based on RT-LAB can improve hardware solution ability and provide faster method to verify the effectiveness of control algorithms for the complicated power electronic systems like microgrids than by using MATLAB.

关键词： VSG real-time simulation power distribution PV/Battery

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