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检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

共 34268 条记录，以下是1041-1050 订阅

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A Shapley value-based distributed AC OPF Approach for Redispatch Congestion Cost Allocation 23

A Shapley value-based Distributed AC OPF Approach for Redisp...

引用

14th ACM international conference on Future Energy Systems (e-Energy)

作者： Bauer, Rebecca Dai, Xinliang Hagenmeyer, Veit Karlsruhe Inst Technol Inst Automat & Appl Informat Karlsruhe Germany

ISBN: (纸本)9798400700323

The progressing energy transition induces a growing need for redispatch congestion management, and, thereby, a fair distribution of its respective costs among the different system operators. In this light, a very recent paper uses the Shapley value as such a fair allocation rule to assign redispatch congestion costs to system operators. However, this approach is based on DC optimal power flow (OPF) and requires the sharing of detailed grid models from all system operators. This is not preferred by them due to data privacy concerns. W.r.t. real-world implementation, the present paper extends the method by using AC OPF problem formulations for more realistic results, and solving them by using a distributed optimization algorithm, i.e., Augmented Lagrangian based Alternating Direction Inexact Newton method (aladin), for preserving data privacy. Simulation results of an illustrative example show great potential of the proposed distributed approach in the aspects of both solution accuracy and computing time. This makes the presented approach generically feasible for real applications in the energy transition.

关键词： Shapley value optimal power flow game theory ALADIN distributed optimization algorithm

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Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless computing 28

Maxwell's Demon in Tail-tolerant, Resource-efficient Serverl...

引用

IEEE 28th international conference on parallel and distributed Systems (IEEE ICPADS)

作者： Zhang, Huanyu Huang, Wenhao Zhao, Laiping Li, Keqiu Tianjin Univ Coll Intelligence & Comp Tianjin 300350 Peoples R China Tianjin Key Lab Adv Networking TANKLAB Tianjin 300350 Peoples R China

ISBN: (纸本)9781665473156

computing systems always face a "resource allocation dilemma" that shows the great difficulties in trading off resource efficiency for tail latency, due to the internal uncertainty of cluster status and execution behavior. Inspired by the imaginary "Maxwell's demon" in thermodynamics who can reduce the uncertainty through a per-gas molecule-level control policy, we consider the "one-to-one mapping" feature of serverless computing and build a novel resource allocator, named Maxwell, that can achieve low tail latency and high resource efficiency in serverless simultaneously. Like the "Maxwell's demon", Maxwell is able to optimize the resource allocation for every request. It observes the state of each request and makes decisions about the minimum resource allocation through a reinforcement learning predictor. As the per-request-grained control incurs significant overhead, we further design a pipeline for avoiding the accumulated effect on a workflow. Experimental results show that Maxwell not only saves up to 31% CPU resources but also reduces the standard deviation of latency by 1.9x. Its time overhead is negligible and the resource overhead is also limited when the query per second <= 500.

关键词： Resource allocation

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Aspect-Oriented Programming based building block platform to construct Domain-Specific Language for HPC application 36

Aspect-Oriented Programming based building block platform to...

引用

36th IEEE international parallel and distributed Processing Symposium (IEEE IPDPS)

作者： Ishimura, Osamu Yoshimoto, Yoshihide Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan

ISBN: (纸本)9781665497473

The world of HPC systems is changing to a more complicated system because the performance improvement of processors has been slowed down. One of the promising approaches is Domain-Specific Language (DSL), which provides a productive environment to create a high-efficient program without pain. However, existing DSL platforms themselves often lack portability and cost DSL developers great effort. To solve this issue, we propose an Aspect-Oriented Programming (AOP) based DSL constructing platform, enabling developers to build a DSL platform by combining Aspect modules. Aspect modules manage abstracted application flow, data structure, and memory access on our platform. Therefore, developers can create any DSL platform whose target application has the attributes which HPC applications usually have, the abstraction assumes. This study implemented a prototype platform that can handle MPI and OpenMP layers. The prototype supports three types of applications (Structured-grid, Unstructured-grid, and Particle Simulation). Then, we evaluated the overheads caused by achieving flexibility and productivity of the platform.

关键词： Domain-Specific Language Aspect-Oriented Programming High-Performance computing

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Novel Service Broker and Load Balancing Policies for CloudSim-Based Visual Modeller 7

Novel Service Broker and Load Balancing Policies for CloudSi...

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7th international conference on parallel, distributed and grid computing, PDGC 2022

作者： Panda, Sanjaya K. Ramesh, K. Indraneel, Karanam Ramu, Manam Damayanthi, N. Navya National Institute of Technology Warangal Department of Computer Science and Engineering Telangana Warangal506004 India

ISBN: (纸本)9781665454018

Cloud computing enables numerous possibilities to deploy and host applications for application developers without any concern for service demand, installation, and maintenance. The developers can obtain the desired services from the cloud service providers (CSPs) and can pay on a usage basis. However, each CSP offers different pricing schemes, locates in different regions, and provides a different set of services. Therefore, it is challenging for the developers to select the CSPs. As a solution, the Cloud Analyst tool was developed to support large-scale applications for developers. It provides three service broker policies, namely closest data center (CDC), optimize response time (ORT) and reconfigure dynamically with load (RDL), and three load balancing policies, namely round robin (RR), equally spread current execution load (ESCEL) and throttled (TH). These policies map the user bases (UBs) to the data centers (DCs) and further map to the virtual machines (VMs) of the DCs, respectively. The performance of these policies is assessed in terms of four measures, namely load assignment, overall response time, DC request servicing time, and total cost. In this paper, we propose one service broker policy, one VM provisioning policy, and one load balancing policy and compare their performance with existing service broker policies and existing load balancing policies, respectively. Moreover, the proposed policies are incorporated with the existing policies to improve their performance in terms of four performance measures and validated using Cloud Analyst. © 2022 IEEE.

关键词： Cloud computing

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Knowledge Graph Model for computing Continuum Over Smart grid 15

Knowledge Graph Model for Computing Continuum Over Smart Gri...

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15th international conference on Information, Intelligence, Systems and Applications, IISA 2024

作者： Martin, Ioana Ramona Cioara, Tudor Arcas, Gabriel Ioan Anghel, Ionut Bertoncini, Massimo Bosch Engineering Center Cluj-Napoca Romania Technical University of Cluj-Napoca Computer Science Department Cluj-Napoca Romania Engineering Ingegneria Informatica Rome Italy

ISBN: (纸本)9798350368833

The evolution of the smart grid has been driven by the emergence of Internet of Things devices, coupled with advancements in powerful Information and Communications Technology and the integration of distributed energy sources at the edge. However, as the amount of collected data grows, there's a strong need to shift the computational load of energy management services as close as possible to the data generation source to be able to meet the time and latency constraints. To support the offloading and orchestration of computation workload in a smart grid, we propose a knowledge graph model designed to semantically represent relevant information and knowledge about the types of resources available from edge devices to cloud servers that can be further utilized for processing tasks. Each model layer comprises specialized nodes interlinked through a hierarchical structure and provides context-rich information on the components of the electrical grid infrastructure, such as substations, renewable energy sources, and consumers at the intersection of the data with energy networks. For evaluation, we have defined rules covering a broad spectrum of energy applications, showing that the model serves as a foundation for enhancing the management of smart grid systems by also considering edge computation requirements. © 2024 IEEE.

关键词： Knowledge graph

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Comparison of DQ Method with I cosφ Controller in Solar Power System Connected to grid with EV Load

Comparison of DQ Method with I cosφ Controller in Solar Pow...

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2022 IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Harish, Basaralu Nagasiddalingaiah Surendra, Usha Department of Electrical and Electronics Engineering Bangalore India

ISBN: (纸本)9781665483162

Electric Vehicles and Photovoltaic power generation integrated to grid introduces power quality issues. Power quality issues during power integration needs improvement. Control of grid interfaced converters improves grid side power quality in integrated solutions. Power injection to the grid is controlled to get rid of power quality issues. Control techniques that can improve the power injection to the grid needs to be analyzed. This paper compares DQ and I cos φ controller while PV and EVs with non-linear loads are also connected in the power grid. Performance evaluation of both controllers are analyzed by comparing power injection to the grid. © 2022 IEEE.

关键词： Power quality

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Construction of integrated sensing and control system for intelligent power distribution room based on multi-sensors 7

Construction of integrated sensing and control system for in...

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7th international conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Zhu, Jianyang Xin, Mingyong Feng, Qihui Xu, Zhenheng Tan, Zejie Electric Power Research Institute of Guizhou Power Grid Co. Ltd Guiyang Guizhou550002 China China Southern Power Grid Digital Grid Research Institute Co. Ltd Guangzhou Guangdong511365 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

In order to improve the environmental monitoring and operation management level of the power distribution room, this paper launches the construction of an integrated sensing and control system for intelligent power distribution room based on multi-sensors. In this paper, a scheme of integrated sensing and control system for intelligent power distribution room is proposed, and a multi-sensor structure is designed. Each sensor module converts the information related to gas, temperature and humidity into electrical signals or digital signals, and then the microprocessor processes and stores the data at the same time. When the detected parameters have exceeded the threshold set by the system, the upper computer displays the abnormal operation of the power distribution room. Aiming at three data fusion structures of multi-sensor parallel distributed detection fusion system, a soft threshold decision wavelet domain filtering algorithm is adopted, and this algorithm is effectively introduced into the multi-sensor parallel distributed detection data fusion structure. The results show that in the process of temperature and humidity measurement, the maximum relative error between the temperature measured value and the reference value is 2.6%, and the maximum relative error between the humidity measured value and the reference value is 0.3%, both of which are much larger than the relative error of the gas module measurement, but all meet the requirements. It is proved that the sensor meets the field application requirements of sensor equipment. © 2023 SPIE. All rights reserved.

关键词： Control systems

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Deep Reinforcement Learning offloading for Computation Cost Minimization of Wireless Powered Mobile Edge computing 24

Deep Reinforcement Learning offloading for Computation Cost ...

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2024 international Academic conference on Edge computing, parallel and distributed computing, ECPDC 2024

作者： Yu, Hang Yang, Jun School of Information Engineering Ningxia University Ningxia Yingchuan750021 China

ISBN: (纸本)9798400718168

The development of the Internet of Things has increased the demand for real-time communication and computing in user equipments (UEs), which is a challenge for the limited battery capacity and computing power of UEs. Mobile edge computing (MEC) is a solution for UEs to achieve low delay and low energy consumption by offloading compution-intensive tasks to edge servers. The combination of wireless power transfer (WPT) and MEC further extends the battery lifetime of UEs. Conventional offloading methods are inadequate in adapting to environmental variations and achieving the long-term performance of the wireless powered MEC system with random task requirements and wireless channel states of the UEs. We introduce a deep reinforcement learning framework that takes into account the wireless powered MEC system's long-term average computing cost. We utilize the deep deterministic policy gradient approach to effectively acquire knowledge on optimal task schedule and runtime of the edge server. Additionally, we optimize energy transmission power, offloading time, offloading ratio, and local computation time simultaneously to assess the performance of actions. To enhance exploration of actions, we introduce the differential evolution algorithm which expands and variegate the action generated by the policy network while also accelerating convergence. The simulation outcomes indicate that our proposed scheme outperforms four benchmark strategies in terms of reduced computing costs and accelerated convergence rate. © 2024 ACM.

关键词： Computation offloading

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PASCI : A Scalable Framework for Heterogeneous parallel Calculation of Dynamical Electron Correlation 24

PASCI : A Scalable Framework for Heterogeneous Parallel Calc...

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53rd international conference on parallel Processing (ICPP)

作者： Jin, Runfeng Liang, Wenhao Zhang, Haoyuan Song, Yinxuan Luo, Zhen Ma, Haibo Ma, Yingjin Jin, Zhong Chinese Acad Sci Univ Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China Nanjing Univ Nanjing Peoples R China Shandong Univ Sch Chem & Chem Engn Qingdao Inst Theoret & Computat Sci Qingdao Peoples R China Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China

ISBN: (纸本)9798400717932

Accurately calculating the electronic structure of strongly correlated chemical systems necessitates a detailed description of both static and dynamical electron correlations, posing a significant challenge in ab initio quantum chemistry. Although the high memory and computational demands generally limit these calculations to relatively modest systems, the advanced computational capabilities of modern GPUs provide new avenues to expand these limits. However, complex control flows inherent to computation notably impair performance on GPUs. Furthermore, the significant disparity in computational load across different branches leads to load imbalance, challenging the large-scale simulations. In this work, we introduce PASCI, a heterogeneous parallel computing framework designed to quickly and efficiently parallelize the computation of dynamical correlation energy based on determinants. The features of the PASCI framework include (1) a divergence-avoiding GPU algorithm, (2) a three-level load-mapping strategy to ensure load balance across processors, GPU warps, and GPU threads, (3) performance models for memory footprint and computation, and (4) seamless integration with existing quantum chemistry software. Experimental results using an NVIDIA A100 GPU demonstrate that our new GPU algorithm achieves an average 6.6x (up to 13.8x) peak performance increase and 2-4 orders of magnitude speedup in practical usage compared to its original GPU implementation. Moreover, PASCI exhibits excellent scalability, highlighting its potential as a powerful high-performance computing tool in complex quantum chemistry research.

关键词： Quantum Chemistry Computation Load Balancing distributed Heterogeneous Systems GPU Warp Divergence

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EOCSim: A CloudSim-Based Simulator for Earth Observation Data Processing in Clouds 14th

EOCSim: A CloudSim-Based Simulator for Earth Observation Dat...

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14th international conference on Large-Scale Scientific Computations (LSSC)

作者： Lalayan, Arthur Astsatryan, Hrachya Giuliani, Gregory Natl Acad Sci Armenia Inst Informat & Automat Problems 1 Paruyr Sevak Yerevan 0014 Armenia Natl Polytech Univ Armenia 105 Teryan Yerevan 0009 Armenia Univ Geneva Inst Environm Sci GRID Geneva Bd Carl Vogt 66 CH-1211 Geneva Switzerland

ISBN: (纸本)9783031562075;9783031562082

Advanced computing resources are necessary to efficiently and accurately process Earth Observation data for environmental monitoring. However, selecting the optimal infrastructure for distributed data processing can be costly and time-consuming due to the required historical simulation dataset. The article proposes the Earth Observation Cloud Simulator (EOCSim) model to address the challenge of utilizing the CloudSim environment to optimize performance and reduce resource usage costs. The model's accuracy is demonstrated by its ability to emulate the actual experiments' behavior, achieving a high level of accuracy in the weekly NDVI for the territory of Armenia.

关键词： Earth observation CloudSim distributed computing performance-cost optimization Dask Kubernetes

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