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Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environment

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2020年第2期23卷 1419-1438页

作者： Masood, Anum Ahmad, Saima Gulzar Khan, Hikmat Ullah Munir, Ehsan Ullah COMSATS Univ Islamabad Wah Campus Islamabad Pakistan

distributed environments are widely used for computing complex applications modeled as task graphs. The computer network becomes more complex when the compute nodes are heterogeneous, however by choosing the appropriate network communication links for communication between a pair of compute tasks can enhance the computing efficiency(called network reconfiguration). One of the steps in heterogeneous network reconfiguration problem is mapping the application task graph edges on the network links. High Performance Computing (HPC) systems are usually heterogeneous, therefore mapping task graph edges on the communication links should consider the two factors: communication cost of task graph edges and the communication capability of network links. The system performance enhances if tasks are mapped on the compute nodes based on the computational costs of the tasks and the processing capability of compute nodes in addition to the edge scheduling on network links. In our earlier algorithm, Heterogeneous Edge and Task Scheduling (HETS) both edge and task mapping simultaneously improve the execution performance of task graphs. The proposed Network Reconfiguration Algorithm (NRA) minimizes the communication overhead and optimizes the schedule length with contention-aware model. NRA reduces an attribute Kirchhoff Index (KI) for optimal network reconfiguration providing minimum execution time. Both synthesized and task graphs of real applications are used for evaluation. The simulation results prove the efficiency of NRA in terms of average schedule length, schedule length ratio, speedup and system throughput. Comparisons with the baseline algorithms show that NRA provides 36% improved results specially for communication-intensive applications.

关键词： Heterogeneous parallel systems Network reconfiguration Edge scheduling Kirchhoff Index

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Global Reproducibility through Local Control for distributed Active Objects 23rd

Global Reproducibility through Local Control for Distributed...

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23rd International Conference on Fundamental Approaches to Software Engineering (FASE) held as part of the Joint European Conferences on Theory and Practice of Software (ETAPS)

作者： Tveito, Lars Johnsen, Einar Broch Schlatte, Rudolf Univ Oslo Dept Informat Oslo Norway

ISBN: (纸本)9783030452346;9783030452339

Non-determinism in a concurrent or distributed setting may lead to many different runs or executions of a program. This paper presents a method to reproduce a specific run for non-deterministic actor or active object systems. The method is based on recording traces of events reflecting local transitions at so-called stable states during execution;i.e., states in which local execution depends on interaction with the environment. The paper formalizes trace recording and replay for a basic active object language, to show that such local traces suffice to obtain global reproducibility of runs;during replay different objects may operate fairly independently of each other and in parallel, yet a program under replay has guaranteed deterministic outcome. We then show that the method extends to the other forms of non-determinism as found in richer active object languages. Following the proposed method, we have implemented a tool to record and replay runs, and to visualize the communication and scheduling decisions of a recorded run, for real-time ABS, a formally defined, rich active object language for modeling timed, resource-aware behavior in distributed systems.

关键词： Modeling languages

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Exploiting distributed discrete-event simulation techniques for parallel execution of cellular automata 1

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14th International workshop on Artificial Life and Evolutionary Computation, WIVACE 2019

作者： Giordano, Andrea D’Ambrosio, Donato De Rango, Alessio Portaro, Alessio Spataro, William Rongo, Rocco ICAR-CNR RendeCosenza Italy Department of Mathematics and Computer Science University of Calabria Rende Italy Department of Environmental Engineering University of Calabria Rende Italy

ISBN: (数字)9783030450168

ISBN: (纸本)9783030450151

The Cellular Automata (CA) paradigm is well-suited to model complex systems based on local rules of evolution such as those related to fluid-dynamics, crowd simulation, fire propagation and many more. In addition, CA can be profitably exploited as a support for different kinds of numerical approaches, such as finite element and finite volume methods. As the size of the problem increases, a cellular automaton can be easily parallelized through domain partitioning in order to scale up its execution. However, the performance and scalability of cellular automata executed on parallel/distributed machines are limited by the necessity of synchronizing all the nodes at each time step, i.e., a node can execute a new step only after all the other nodes have executed the previous one. This paper presents a preliminary study on how techniques taken from the Discrete-Event Simulation field can be adopted for the parallelization of CA on distributed memory architectures with the goal of reducing the synchronization burden. In particular, we combine the active/inactive cells technique, which is well-known in the CA context, with the concept of lookahead which, instead, is adopted in the field of distributed discrete-event simulation research. © Springer Nature Switzerland AG 2020.

关键词： Cellular automata

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Exploiting IoT Data Crossings for Gradual Pattern Mining Through parallel Processing 24th

Exploiting IoT Data Crossings for Gradual Pattern Mining Thr...

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24th East-European Conference on Advances in Databases and Information systems/24th International Conference on Theory and Practice of Digital Libraries/16th workshop on Business Intelligence and Big Data (ADBIS/TPDL/EDA)

作者： Owuor, Dickson Odhiambo Laurent, Anne Orero, Joseph Onderi Univ Montpellier CNRS LIRMM Montpellier France Strathmore Univ Fac IT Nairobi Kenya

ISBN: (纸本)9783030558130;9783030558147

Today, with the proliferation of Internet of Things (IoT) applications in almost every area of our society comes the trouble of deducing relevant information from real-time time-series data (from different sources) for decision making. In this paper, we propose a fuzzy temporal approach for crossing such data sets with the ultimate goal of exploiting them for temporal gradual pattern mining. A temporal gradual pattern may take the form: "the higher the humidity, the lower the temperature, almost 15 min later". In addition, we apply parallel processing on our implementation and measure its computational performance.

关键词： Data streams Fuzzy logic Gradual patterns time-series

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A model predictive Goertzel algorithm based active islanding detection for grid integrated photovoltaic systems

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MICROPROCESSORS AND MICROsystems 2022年 95卷

作者： Kumari, J. Surya Lenine, D. Satish, A. Kumar, T. Suresh Kalaivani, C. Kumar, M. Dilip Swamy, G. Kumara Suresh, Y. Vijaya Reddy, J. Nagarjuna Kumar, J. Kanna Rao, Y. Mallikarjuna RGM Coll Engn & Technol Dept EEE Nandyal Andhra Pradesh India RGM Coll Engn & Technol Dept ECE Nandyal Andhra Pradesh India Gokaraju Rangaraju Inst Engn & Technol EEE Dept Hyderabad India Sri Manakular Vinayagar Engn Coll Dept EEE Pondicherry India St Peters Engn Coll Dept EEE Hyderabad Telangana India Dr KV Subba Reddy Inst Technol Dept ME Kurnool Andhra Pradesh India Santhiram Engn Coll Dept ECE Nandyal Andhra Pradesh India

A microgrid is a cluster of several energy sources and interconnected loads which are synchronized to operate either in grid connected or islanded mode. To attain higher efficiency and improved power control the microgrid is integrated with power electronic devices. But various problems arise related to protection among which the major issue to be focused on is islanding detection. Whenever an islanding condition arises the balance between load and generation in the islanded circuit can be violated, thereby leading to abnormal frequencies and volt-ages. This hazardous state observed in the system can be prevented by early detection of occurrence. In this paper, an active islanding detection with integrated PV system for grid based on Predictive Goertzel algorithm is proposed. The proposed single-phase single stage photovoltaic system injects a small harmonic component of the output of the grid and checks point of common coupling (PCC). The Predictive Goertzel algorithm is a discrete Fourier transform that resolve Non detection Zone (NDZ) and detection time. The highlight of this work is to demonstrate the performance of proposed islanding detection method, a single-stage single-phase grid integrated PV system embraces of 1-phi full bridge inverter, LCL filter and local load (RLC parallel load) is considered. This algorithm is implemented in MATLAB Simulink environment. From the results obtained, the detection time for real time environment has reduced by 200ms compared to existing algorithm.

关键词： distributed Generator (DG) Islanding Photovoltaic system Harmonic current injection Predictive Goertzel Algorithm Non-detection zone (NDZ)

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Cyber Physical Implementation of Improved distributed Secondary Control of DC Microgrid

Cyber Physical Implementation of Improved Distributed Second...

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Power Electronics and Energy (ICPEE), International Conference on

作者： Nataraj Pragallapati Satish J Ranade Olga Lavrova New Mexico State University Las Cruces USA

ISBN: (数字)9781728187747

ISBN: (纸本)9781728187754

This paper presents a cyber physical system implementation of an improved distributed secondary control (IDSC) scheme of islanded dc microgrid (DCMG). The IDSC scheme mitigates the hidden issues of primary control with included droop technique for the distributed generation unit (DGU) in a DCMG by providing the adjustable voltage compensation, improves voltage regulation and enhances the current sharing of all DGUs. The voltage compensation of IDSC is the resultant of two voltage components, i.e., average distributed integral voltage controller and average current controller. The dynamic consensus algorithm is used to obtain the global average values in the for distributed secondary controlusing relatively low bandwidth communication. The impact of communication time delay on the stability in IDSC based DCMG with two DGUs is presented. The performance of IDSC scheme is validated on a microgrid scenario, which includes parallel connection of four DGUs and common load. The real-time cyber physical system of DCMG is implemented on OP AL-RT test platform that combines the device layer on FPGA, control and cyber layers on CPU of OP5700 by using eFPGASim and RT-LAB.

关键词： Heuristic algorithms Microgrids Consensus algorithm Bandwidth real-time systems Voltage control System implementation

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Simulating heterogeneous models on multi-core platforms using Julia's computing language parallel potential 20

Simulating heterogeneous models on multi-core platforms usin...

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Proceedings of the IEEE/ACM 24th International Symposium on distributed Simulation and real time Applications

作者： Sergey Suslov Michael Schiek Markus Robens Christian Grewing Stefan van Waasen ZEA-2 - Electronic Systems Germany

This paper addresses the questions of high-level system modelling using heterogeneous multi-tool modelling environment on parallel multi-core processing systems for simulation acceleration. The modelling technique has been applied for high-level validation of a high-precision Indoor Positioning System for Motion Analysis (IPS-MA) developed in the Central Institute Electronic systems (ZEA-2) of the Research Center Juelich GmbH. The heterogeneous modelling environment has been built using an implementation-level model designed in Matlab Simulink, a verification model for describing the system environment using Modelica language, and Julia language for automatic generation of binding modelling environment and parallelizing the simulation of the overall model. The approach showed a good flexibility in system description and verification in the multi-instrument modelling environment and a good performance gain due to simulation parallelism.

关键词： modelica Julia computing language high level system modelling parallelized simulation distributed simulation functional verification

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A novel frequency estimator for protection applications in active distribution networks 21

A novel frequency estimator for protection applications in a...

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21st National Power systems Conference, NPSC 2020

作者： Bansal, Yashasvi Sodhi, Ranjana Department of Electrical Engineering Indian Institute of Technology Ropar Punjab140001 India

ISBN: (纸本)9781728185521

Frequency is a useful parameter for ensuring the proper functioning of the power system operation, control, and protection. In this paper, a fast and accurate frequency estimator is developed using a Zero-crossing and a Peak, occurring in the buffered data instead of two Zero crossings, which is commonly used to measure the frequency. Prior to this, the signal is preprocessed using the Sliding Goertzel Filter (SGF) that mitigates the impact of undesirable features such as harmonics, noise, etc. from the signal. The two frequency estimators, with and without SGF, then work in parallel to form the hybrid estimator and named as ZCPk − HFE. The estimated frequency is chosen based on the minimum error computed from the two parallel estimators. The performance of the estimator is, then, validated using the simulated signals polluted with harmonics, noise, transients etc. Moreover, the evaluation results with the IEEE-13 Active Distribution Network (ADN) incorporated with Photovoltaic DG using and dSPACE1104 and real time Digital Simulator (RTDS), show its capability to estimate real-time frequency with satisfactory output. © 2020 IEEE

关键词： distributed power generation

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Message from the workshop Chairs for ODRE 2020: ISORC 2020

Message from the Workshop Chairs for ODRE 2020: ISORC 2020

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International Symposium on Object-Oriented real-time distributed Computing

ISBN: (数字)9781728169583

ISBN: (纸本)9781728169590

Welcome to the International workshop on Open distributed real-time Embedded systems in IEEE ISORC 2020. The ODRE 2020 workshop is indented to be a forum for the exchange of novel and innovative ideas related to Open distributed real-time Embedded (ODRE) systems. ODRE systems have gained importance, especially in recent years by evolving embedded systems towards novel application areas that combine stringent real-time constraints, reliability requirements, and the need for the open-world assumption. Examples are Ambient-Assisted Living (AAL) systems for elderly care, networked medical devices, and health management systems, applications for mechatronic systems as well as Cyber-Physical systems (CPS). In many application fields, ODRE systems must also perform tasks in the areas of artificial intelligence, machine learning, and big data.

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HGraph: parallel and distributed Tool for Large-Scale Graph Processing

HGraph: Parallel and Distributed Tool for Large-Scale Graph ...

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Artificial Intelligence and Data Analytics (CAIDA), International Conference on

作者： Wilfried Yves Hamilton Adoni Nahhal Tarik Moez Krichen Abdeltif El Byed Hassan II University of Casablanca International University of Casablanca Casablanca Morocco Faculty of Science Hassan II University of Casablanca Casablanca Morocco Faculty of CSIT Albaha University KSA ReDCAD Laboratory University of Sfax Sfax Tunisia

ISBN: (纸本)9781665430418

Graph are ubiquitous because the fields of application are varied. Well-known examples are social networks, biological networks and path-finding in road networks. real-world graphs processing is very challenging because of 4V characteristics related to big data. They are huge to process them on single-node and the time complexity is exponential. Unfortunately, due to the lack of research, only a few systems are able to ensure the storage and quick processing of large-scale graphs. In this paper, we propose HGraph, a parallel and distributed tool which handles large-scale graphs. HGraph is build on top of Hadoop and Spark frameworks. The proposed tool provides high scalability and is adapted to easily implement algorithms for various graph problems. Experimental tests performed on real-world graphs showed that HGraph is reliable and achieves significant gain time over the state of the art of graph processing systems.

关键词： Java Social networking (online) Scalability Roads Random access memory Prototypes Tools

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