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13th IEEE International Conference on Service-Oriented System Engineering (SOSE) / 10th International workshop on Joint Cloud Computing (JCC) / IEEE International workshop on Cloud Computing in Robotic systems (CCRS)

作者： Liu, Shuqi Geng, Mingyang Xu, Kele Northeastern Univ Natl Key Lab Big Data Management & Anal Shenyang Liaoning Peoples R China Natl Univ Def Technol Natl Key Lab Parallel & Distributed Proc Changsha Hunan Peoples R China

ISBN: (数字)9781728114422

ISBN: (纸本)9781728114422

Recent advances in multi-agent reinforcement learning show that agents can spontaneously learn when and what to communicate with each other to support effective cooperation. However, the existing approaches assume a fully-connected network with unlimited bandwidth, which is impractical in many real-world scenarios. For instance, in many multi-robot applications, robots are connected only through an unstable wireless network with limited bandwidth. Therefore, we must enable the agents to learn communication strategy that takes the consumption of network resources into account. This paper proposes a group division-based attentional communication model (GDAC), which can divide agents into groups according to their "attention" in the learned communication strategy. According to the novel "attention" mechanism, agents can be dynamically grouped according to their task relevance, and the communication only takes places inside the same group. As a result, it avoids a fully-connected communication architecture and can significantly reduce the bandwidth consumption at runtime. This model has been successfully applied to the environmental exploration task with a group of agents. The results show that GDAC could effectively reduce the total amount of communication message and yield improved performance over the existing fully-connected communication architecture.

关键词： multi-agent cooperation attention mechanism deep reinforcement learning

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Test-based diagnosis of distributed computer system using a time-varying model ⁎

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IFAC-PapersOnLine 2018年第24期51卷 1075-1082页

作者： Gruzlikov, A.M. Kolesov, N.V. Lukoyanov, E.V. Tolmacheva, M.V. Concern CSRI Elektropribor 30A Malaya Posadskay ul St.Petersburg Russia Concern CSRI Elektropribor Russia

Some problems of a real-time distributed computer system testing are considered. The authors approach suggests the introduction of redundancy into the system being diagnosed, which in essence is an event model of the DS. The model is a dynamical periodically time-varying system, linear in a binary field. Based on this model rational procedure for designing the testing of a distributed system is proposed. © 2018

关键词： distributed computer systems Computer testing Interactive computer systems real time systems time varying systems Binary fields distributed systems Event model parallel Computation Periodically time varying real time time varying models

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Automated time Delay Estimation for distributed Sensor systems of Electric Vehicles 10

Automated Time Delay Estimation for Distributed Sensor Syste...

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10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing systems - Technology and Applications (IDAACS)

作者： Pfeiffer, Jakob Wu, Xuyi BMW Grp Petuelring 130 D-80788 Munich Germany Tech Univ Munich Chair Data Proc Arcisstr 21 D-80333 Munich Germany

ISBN: (纸本)9781728140681

Deviations between electric current measurements and reality can cause severe problems in the power train of electric vehicles (EVs). Among others, these are unnecessary power limitations and inaccurate performance coordination during driving or charging. One reason for these deviations are time delays. In this paper, we present three different approaches for time delay estimation (TDE) and evaluate these with real data from power trains of EVs. Besides the accuracy of the TDE, the focus of our evaluation lies on the computational efficiency to enable an execution on automotive electronic control units (ECUs). The Linear Regression approach suffers even from small noise and offsets in the measurement data and is unsuited for our purpose. A better alternative is the Variance Minimization approach. It is not only more noise-resistant but also very efficient after the first execution. Another interesting approach are Adaptive Filters presented by Emadzadeh et al. Unfortunately, Adaptive Filters do not reach the accuracy and efficiency of Variance Minimization in our experiments. Thus, we recommend Variance Minimization for TDE of current signals in the power train of EVs.

关键词： automotive current electric power train electric vehicle embedded systems delay detection distributed systems measurements power train sensor signals time delay estimation

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Models and Languages for Description of parallel Processes

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JOURNAL OF COMPUTER AND systems SCIENCES INTERNATIONAL 2018年第3期57卷 471-481页

作者： Kutepov, V. P. Natl Res Univ Moscow Power Engn Inst MPEI Moscow 111250 Russia

This paper considers models and languages of parallel processes that make it possible to adequately describe the properties and relationships among real processes both at the level of events and in real time. The proposed models and languages are shown to provide more flexibility in the description of parallelism compared to similar well-known models and languages. We also discuss the practical application of models and languages for parallel processes to design high-level concurrent programming languages, as well as distributed computing and control systems.

关键词： distributed computer systems

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Highly Accurate and Efficient Two Phase - Intrusion Detection System (TP-IDS) using distributed Processing of HADOOP & Machine Learning Techniques

Research Square

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Research Square 2021年

作者： Jadhav, Abhijit Dnyaneshwar Pellakuri, Vidyullatha Department of Computer Science & Engineering Koneru Lakshmaiah Education Foundation A.P. Vaddeswaram India Department of Computer Engineering Dr. D. Y. Patil Institute of Technology Pune-18 Pimpri India Department of Computer Science & Engineering Koneru Lakshmaiah Education Foundation A.P. Vaddeswaram India

Network security and data security are the biggest concerns now a days. Every organization decides their future business process based on the past and day to day transactional data. This data may consist of consumers confidential data, which needs to be kept secure. Also, the network connections when established with the external communication devices or entities, a care should be taken to authenticate these and block the unwanted access. This consists of identification of the malicious connection nodes or identification of normal connection nodes. We expect, everytime whenever there is a connection request, it should be recognized as a type of normal node or malicious node connection request. For that, we use a continuous monitoring of the network input traffic to recognize the malicious connection request called as an intrusion and this type of monitoring system is called as Intrusion detection system(IDS). IDS helps us to protect our network and data from insecure and malicious network connections. Many such systems exists in the real time scenario, but they have critical issues of performance like accuracy and efficiency. These issues are addressed as a part of this research work of IDS using machine learning techniques. The TP-IDS is designed in two phases for increasing accuracy. In phase I of TP-IDS, Suppor Vector Machine (SVM) and k Nearest Neighbor (kNN) are used. In phase II of TP-IDS, Decision Tree (DT) and Naïve Bayes (NB) are used, where phase II is the validation phase of the system for increasing accuracy. Also, both the phases are having Hadoop distributed file system underlying data storage & processing architecture, which allows parallel processing to increase the speed of the system and hence achieve the efficiency in TP-IDS. © 2021, CC BY.

关键词： Intrusion detection

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19th International Conference on parallel and distributed Computing, Applications and Technologies, PDCAT 2018

19th International Conference on Parallel and Distributed Co...

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19th International Conference on parallel and distributed Computing, Applications and Technologies, PDCAT 2018

ISBN: (纸本)9789811359064

The proceedings contain 49 papers. The special focus in this conference is on parallel and distributed Computing, Applications and Technologies. The topics include: A real-time routing protocol in wireless sensor-actuator network;privacy preserving classification based on perturbation for network traffic;fault diagnosis of a wireless sensor network using a hybrid method;an optimization theory of home occupants’ access data for determining smart grid service;automatic classification of transformed protocols using deep learning;covert timing channel design for uniprocessor real-time systems;parallelization of the DIANA algorithm in openMP;Flash animation watermarking algorithm based on SWF tag attributes;efficient scheduling strategy for data collection in delay-tolerant wireless sensor networks with a mobile sink;analysis of massive e-learning processes: An approach based on big association rules mining;SGNet: Design of optimized DCNN for real-time face detection;A study on L1 data cache bypassing methods for high-performance GPUs;Memory contention aware power management for high performance GPUs;Dynamic selective warp scheduling for GPUs using L1 data Cache locality information;an efficient model and algorithm for privacy-preserving trajectory data publishing;what makes charitable crowdfunding projects successful: A research based on data mining and social capital theory;A SwarmESB based architecture for an european healthcare insurance system in compliance with GDPR;a study on deriving and simulating pre-risk on complex gas facilities for preventing accidents;body gesture modeling for psychology analysis in job interview based on deep spatio-temporal approach;green vs revenue: Data center profit maximization under green degree constraints;evaluation for two bloom filters’ configuration.

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Robust coordinated voltage control in low-voltage networks validated through an experimental study – collaboration of an on-load tap changer and a battery energy storage

Robust coordinated voltage control in low-voltage networks v...

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CIRED 2020 Berlin workshop (CIRED 2020)

作者： Sami Martinmäki Sami Repo Kalle Rauma Alfio Spina Christian Rehtanz Tampere University Unit of Electrical Engineering Tampere Finland Institute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany

This study proposes a robust and completely independent coordinated voltage control (CVC) method for low-voltage (LV) networks as a solution for the overvoltage problem created by distributed generation. The CVC coordinates an operation of an on-load tap changer transformer at a secondary substation and a redox flow battery energy storage at a customer supply point in an LV network based on real-time measurements of the LV grid. The novelty of this CVC is that control decisions are based on relatively simple deterministic logic, which is fast to execute, does not require a detailed grid model, and provides always a solution, has minimal need of information exchange between components of the control system, and it may operate independently without supervision of control centre or information exchange between CVC solution and IT systems of the control centre. This study presents the developed CVC method and explains the practical aspects of implementation for robust and independent solution. The CVC was developed, implemented and tested at the smart grid laboratory of the TU Dortmund University as a part of a master thesis. The most relevant outcome of this master thesis is presented in this study.

关键词： voltage control energy storage distributed power generation substations flow batteries power grids battery storage plants

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distributed image processing based on the same IP-cores in FPGA-architecture 5

Distributed image processing based on the same IP-cores in F...

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Data Science Session at the 5th International Conference on Information Technology and Nanotechnology, DS-ITNT 2019

作者： Zakharov, V.M. Shalagin, S.V. Eminov, B.F. Kazan National Research Technical University named after A.N. Tupolev Karl Marks 10 Kazan420111 Russia

The problem of processing images, i. e., two-dimensional data arrays, was solved through implementing two-dimensional fast Fourier transform (FFT) when using single-type hardware modules – IP-cores in the Virtex-6 FPGA architecture. We have shown the possibility of the parallel implementation of each stage in the two-dimensional FFT, based on four "butterfly"-type transforms (BTr) over four elements of the data array being processed. Estimations were obtained regarding time- and hardware complexity of the IP-core implementing BTrs and used in implementing the one-dimensional FFT. The results obtained can be used in estimating hardware and time consumption when performing a two-dimensional FFT over an array of the pre-defined dimensionality in using existing and forthcoming distributed programmable-architecture systems. © 2019 CEUR workshop Proceedings.

关键词： Intellectual property core

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Event-based Cooperation of Functional Networking Components in distributed Technological systems

Event-based Cooperation of Functional Networking Components ...

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Moscow workshop on Electronic and Networking Technologies (MWENT)

作者： Valery A. Kokovin Alexander A. Evsikov Saygid U. Uvaysov Svetlana S. Uvaysova Department of Automation of Technological Processes State University "Dubna" branch "Protvino" Protvino Moscow reg. Russia Department of Design and Production of Radio-Electronic Means MIREA – Russian Technological University Moscow Russia School of Computer Engineering Higher School of Economics Moscow Russia

ISBN: (数字)9781728125725

ISBN: (纸本)9781728125732

The paper defines a new class of network devices Functional Networking Components (FNC). FNC can receive and process information (the presence of a computer with network ports), the FNC has a physical nature (mechanics), and it is able to affect the physical environment. The FNC mechanisms that allow processing input information from sensors and generate events and messages are examined, as well as the requirements for them are determined. The paper analyzes the advantages of using FNC computers based on a traditional microcontroller (ARM as an example) with the addition of a hardware accelerator on FPGA for processing fast processes. A simplified block diagram of the event's generator, messages and synchronization is given.

关键词： Field programmable gate arrays Synchronization Protocols IEC Standards Generators real-time systems Software

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Using DCT-based Approximate Communication to Improve MPI Performance in parallel Clusters 38

Using DCT-based Approximate Communication to Improve MPI Per...

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IEEE 38th International Performance Computing and Communications Conference (IPCCC)

作者： Fan, Qianqian Lilja, David J. Sapatnekar, Sachin S. Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

ISBN: (纸本)9781728110257

Communication overheads in distributed systems constitute a large fraction of the total execution time, and limit the scalability of applications running on these systems. We propose a DCT-based approximate communication scheme that takes advantage of the error resiliency of several widely-used applications, and improves communication efficiency by substantially reducing message lengths. Our scheme is implemented into the Message Passing Interface (MPI) library. When evaluated on several representative MPI applications on a real cluster system, it is seen that the fraction of total execution time devoted to communication reduces from 59% to 23%, even accounting for the computational overhead required for DCT encoding. For many communication-intensive applications, it is shown that our approximate communication scheme effectively speeds up the total execution time without much loss in quality of the result.

关键词： Message passing

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