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

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The New UPC++ DepSpawn High Performance Library for Data-Flow computing with Hybrid parallelism 22nd

The New UPC++ DepSpawn High Performance Library for Data-Fl...

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22nd Annual international conference on Computational Science, ICCS 2022

作者： Fraguela, Basilio B. Andrade, Diego Universidade da Coruña CITIC Grupo de Arquitectura de Computadores. Facultade de Informática Campus de Elviña S/N. 15071 A Coruña Spain

ISBN: (纸本)9783031087509

Data-flow computing is a natural and convenient paradigm for expressing parallelism. This is particularly true for tools that automatically extract the data dependencies among the tasks while allowing to exploit both distributed and shared memory parallelism. This is the case of UPC++ DepSpawn, a new task-based library developed on UPC++ (Unified parallel C++), a library for parallel computing on a Partitioned Global Address Space (PGAS) environment, and the well-known Intel TBB (Threading Building Blocks) library for multithreading. In this paper we present and evaluate the evolution of this library after changing its engine for shared memory parallelism and adapting it to the newest version of UPC++, which differs very strongly from the original version on which UPC++ DepSpawn was developed. As we will see, while keeping the same high level of programmability, the new version is on average 9.3% faster than the old one, the maximum speedup being 66.3%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data transfer

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Review of Several Address Assignment Mechanisms for distributed Smart Meter Deployment in Smart grid 6th

Review of Several Address Assignment Mechanisms for Distribu...

引用

6th international conference on Advanced Intelligent Systems and Informatics, AISI 2020

作者： Sung, Tien-Wen Hu, Xiaohui Ou, Haiyan College of Information Science and Engineering Fujian University of Technology Fuzhou China

ISBN: (纸本)9783030586683

Deploying wireless objects or devices is a fundamental basis for many network-based applications. The objects could be smart meters in a smart gird, sensors or actuators in a WSN, or IoT things. After the physical deployment of those devices, a network address allocation becomes another essential procedure to enable network communications among the devices for device controls or message delivery purposes. This paper gives a review on several notable address assignment mechanisms by describing the key technique of each of these proposed approaches. The advantages as well as weaknesses are also introduced and a brief comparison is also given in this paper. The review provides a valuable reference in making further improvement of distributed address allocations and a meaningful reference for the relevant applications in the topics of smart grid, sensor networks, and Internet of things. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart meters

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High Performance computing Infrastructure in Technical University Research

High Performance Computing Infrastructure in Technical Unive...

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IEEE international conference on Intelligent Computer Communication and Processing (ICCP)

作者： Dorian Gorgan Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (纸本)9781665464383

A technical university needs high performance computing resources to support the research activity carried out by interdisciplinary teams, through heterogeneous, various and flexible configurations. The CloudUT infrastructure has been designed and developed to meet the requirements and performances necessary for research projects in the scientific and engineering fields specific to the Technical University of Cluj-Napoca such as big data, artificial intelligence, spatial data, satellite data, internet of things, complex simulation, and computer assisted design. This paper analysis and highlight the challenges and issues on finding efficient solutions for the distributed architecture, parallel computing, massive data, flexible architectures, virtualization, cloud applications and services for covering a large range of technical domains of engineering such as mechanics, automation and computers, civil and building services, electric, architecture and urban planning, electronics, robotics, and mechatronics.

关键词： Cloud computing Software packages Architecture High performance computing Urban planning Computer architecture Solids

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Coordination control and suitability evaluation of multiple ice-storage tanks in an air-conditioning system under unreliable communication

Coordination control and suitability evaluation of multiple ...

引用

2020 international Symposium on Automation, Information and computing, ISAIC 2020

作者： Yu, Meng Hu, Wenbo Huo, Weiqiang Cui, Cui Zhu, Liangliang Liu, Jiaji Wang, Yao Nari Group Corporation\State Grid Electric Power Research Institute Nanjing210000 China State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Company Limited Wuhan430074 China State Grid Hubei Electric Power Co. Ltd Wuhan430077 China State Gird Hubei Energy Comprehensive Service Co. Ltd. Wuhan430077 China

Electric energy is an important part of building energy consumption, and air-conditioning accounted for most of the consumption of electric energy. Ice storage air conditioning is widely concerned because of its strong adjustability. Due to the limited space, it is often necessary to use multiple ice storage devices simultaneously to meet the application requirements. In this paper, a distributed coordination method for multiple ice storage devices is presented, which can allocate storage tasks according to the capacity of the device. Each device only needs to communicate with its neighbouring cold storage device, and finally achieve the control goal through distributed iteration. The convergence of the proposed algorithm is analysed by rigorous mathematics. If the communication topology between devices is connected, the algorithm can converge to the expected point. Finally, the validity and suitability of the algorithm and the correctness of theoretical analysis are verified and evaluation by digital simulation. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Air conditioning

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A Marine Boundary Guard (Jellyfish-Scallop-Flying Fish) Robot Based on Cloud-Sea computing in 5G OGCE

A Marine Boundary Guard (Jellyfish-Scallop-Flying Fish) Robo...

引用

2021 IEEE international conference on Robotics, Automation and Artificial Intelligence, RAAI 2021

作者： Lv, Zhi Wang, Zhongfeng Lv, Yi Yuan, Mingzhe School of IT and Engineering Tianjin University of Technology and Education Tianjin China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665425322

Based on the fifth generation of mobile communication (5G), 5G open grid computing environment (5G OGCE), and cloud sea computing (CSC) in 5G OGCE, a marine boundary guard robot (MBGR) based on CSC are presented in this paper. A MBGR model is composed of models of Jellyfish (Cyanea Capillata), scallop and flying fish (Cypselurus). Its purpose is to carry out resources and energy exploitation under the support of 5G OGCE. It performs the tasks of rescue and maintenance in sea operation areas, and guard offshore oil fields and offshore wind turbine farm. It and the offshore flexible manufacturing systems constitute the underwater Intelligent Factory and/or Smart Factory. The MBGR can be distributed in different depths of sea. It can float on surface of sea to generate its own electricity, or it can dive to the bottom of sea. The tentacle cable robots (CRs) of MBGR are used to capture underwater unidentified AUVs, detect, search and rescue and salvage aircraft falling into the sea. The MBGR is capable of capturing small underwater vehicles, and wrapping and enlacing the propeller blades of large ships by its tentacle CRs and two-hand-type robots (BHT-AUVs) at the end of tentacle CRs. When it is needed to quickly pursue and search for ships at sea, the MBGR can leap out of sea and fly a period of time. The sea eight banners (SEBs) are formed by MBGRs. SEBs can be used to guard coast, and maritime space at different depths. ©2021 IEEE

关键词： Fish

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vSketchDLC: A Sketch on distributed Deep Learning Communication via Fine-grained Tracing Visualization 18th

vSketchDLC: A Sketch on Distributed Deep Learning Communica...

引用

18th IFIP WG 10.3 international conference on Network and parallel computing, NPC 2021

作者： Wang, Yanghai Ouyang, Shuo Dong, Dezun Yu, Enda Liao, Xiangke College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9783030935702

Intensive communication cost for gradients and parameters is becoming the bottleneck of distributed deep learning training. It is crucial for optimizing such communication bottleneck through measuring communication operations effectively. However, many existing communication measurement tools, such as MXNet profiler, still suffer from serious limitations. Specifically, they cannot satisfy two requirements simultaneously, that is, fine-grained collection of low-level communication operations and user-friendly analysis of comprehensive measurement results. In this paper, we make the first attempt to propose an open-sourced, fine-grained and user-friendly communication measurement tool on top of MXNet, called vSketchDLC. vSketchDLC can trace low-level communication events between framework and communication library interface, and capture end-to-end push and pull communications between workers and servers. It supports to generate communication records in standard format, enabling users to analyze the communication traces by merely using standard visualization tools such as Chrome Trace Viewer. Our design exploits in-memory buffers and asynchronous record writes to ensure measurement activities do not impact training performance. We conduct extensive experiments on a public-cloud GPU cluster to verify the effectiveness of vSketchDLC for MXNet. Experimental results show that vSketchDLC can empower users to analyze fine-grained communication records through friendly interactions, and identify potential training bottlenecks from multiple perspectives, including training timeline and iterations, DNN layers, workers or servers, etc. We can observe the relationship between different communications visually, i.e., to highlight a selected period of communication traces, to zoom in or zoom out, such that identifying the root causes of communication bottleneck and seeking to improve training performance. © 2022, IFIP international Federation for Information Processing.

关键词： Deep learning

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4th EAI international conference on Advanced Hybrid Information Processing, ADHIP 2020

4th EAI International Conference on Advanced Hybrid Informat...

引用

4th EAI international conference on Advanced Hybrid Information Processing, ADHIP 2020

ISBN: (纸本)9783030678708

The proceedings contain 43 papers. The special focus in this conference is on Advanced Hybrid Information Processing. The topics include: Network Dynamic Bad Information Security Filtering Algorithms Based on Large Data Analysis;analysis of Intelligent Monitoring Model of Network Security Situation Based on grid Power Flow;online Monitoring Method for Hazard Source of Power System Network Based on Mobile Internet;an Algorithm of Intelligent Classification For Rotating Mechanical Failure Based on Optimized Support Vector Machine;research on Anti-point Source Jamming Method of Airborne Radar Based on Artificial Intelligence;statistical Analysis of Catalytic Removal of Soot Particles Based on Big Data;research on Electric Drive Control Method Based on parallel computing;community Discovery Algorithm Based on parallel Recommendation in Cloud computing;Deployment Optimization of Perception Layer Nodes in the Internet of Things Based on NB-IoT Technology;research on Intelligent Investment Prediction Model of Building Based on Support Vector Machine;analysis of Energy Saving Method for Multiple Relay Nodes in Wireless Volume Domain Network;study on Probability Statistics of Unbalanced Cloud Load Scheduling;intelligent Authentication Method for Trusted Access of Mobile Nodes in Internet of Things Driven by Cloud Trust;Research on Dynamic Integration of Multi-objective Data in UI Color Interface;the Application of Visualization of Internet of Things in Online Teaching of Mobile Interactive Interface Optimization;Research on Feature Extraction Method of UAV Video Image Based on Target Tracking;automatic Recognition of Tea Bud Image Based on Support Vector Machine;automatic Color Image Segmentation Based on Visual Characteristics in Cloud computing.

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Resource Allocation Strategy for Virtualized Wireless Sensor Networks Based on Actor-Critic

Resource Allocation Strategy for Virtualized Wireless Sensor...

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IEEE international Symposium on parallel and distributed Processing with Applications and IEEE international conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Changjin Li Guangxu Zhou Yue Guo Junfeng Hou Hongjun Zhang Song Li Xuchang Branch of Henan Provincial Tobacco Company Xuchang Henan China

Aiming at the problem of effective utilization of virtualized WSN resources, a reinforcement learning-based resource allocation strategy for virtualized WSNs is proposed from the perspective of service requests of virtualized WSNs. A virtual sensor network request deployment utility maximization model is established based on the quality requirements of service sensing information and resource capacity constraints. Considering the randomness of service requests and the dynamic changes in the network environment, the resource optimization problem is transformed into MDP and solved using Actor-Critic reinforcement learning methods, and the best resource allocation strategy is obtained. Finally, a large number of simulation experiments are carried out to verify the effectiveness of the proposed method.

关键词： Wireless sensor networks Soft sensors Computational modeling Reinforcement learning Ubiquitous computing Dynamic scheduling Resource management

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Evaluation of Integrated Frameworks for Optimizing QoS in Serverless computing 21st

Evaluation of Integrated Frameworks for Optimizing QoS in Se...

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21st international conference on Computational Science and Its Applications (ICCSA)

作者： Kumari, Anisha Sahoo, Bibhudatta Behera, Ranjan Kumar Misra, Sanjay Sharma, Mayank Mohan Natl Inst Technol Dept CSE Rourkela India XIM Univ Sch Comp Sci & Engn Bhubaneswar India Covenant Univ Dept Elect & Informat Engn Ota 1023 Nigeria Zillow Inc San Francisco CA USA

ISBN: (纸本)9783030870072;9783030870065

Serverless computing is an emerging cloud deployment model where developers can concentrate on developing application logic without worrying about the underlying architecture. It is similar to the platform as a service (PaaS) but at the functional level. Applications are usually deployed in the form of a set of functions independently and each function may be executed at separate servers thus also named as function as a service (FaaS). Serverless at the edge can handle thousands of concurrent functions invocations to process various kinds of events generated from resources like database, system logs, and other storage units, etc. A number of serverless frameworks like Openfaas, Openwhisk, Microsoft Azure, Amazon AWS allow dynamic scaling to handle the parallel request of stateless functions from the client-side. A separate container manager may be provisioned to handle distributed load for data processing. In this paper, we have evaluated the performance of serverless frameworks for parallel loads in terms of response time and throughput. In this paper, we have shown that the serverless framework is suitable for handling dynamic applications that can be executed on a number of stateless functions. An extensive comparison of the performance of serverless frameworks in handling concurrent invocations in terms of response time and throughput is also presented. It has been observed that Openwhisk is found to be the better serverless framework in terms of elasticity and scalability.

关键词： Serverless computing Function-as-a-service Orchestration OpenWhisk Openfaas

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Efficient Load Balancing in distributed computing Environments with Enhanced User Priority Modeling 4th

Efficient Load Balancing in Distributed Computing Environmen...

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4th international conference on Smart computing and Informatics, SCI 2020

作者： Hijab, Maniza Damodaram, Avula Muffakham Jah College of Engineering & Technology Hyderabad India School of Information Technology JNTUH Hyderabad India

ISBN: (纸本)9789811608773

In the distributed computing environments, user-submitted job details such as the expected job completion time estimates are prone to inaccuracies. These inaccurate details force the system to under-perform due to ineffective allocation of processing resources. Addressing the concerns that crop-up due to the presence of these ill-defined user-provided parameters is an important task, which is very much required to get the jobs executed using optimal number of resources. At the same time, studying the ways of deriving accurate job runtimes benefits us in attaining improved load balancing results. The work proposed in the present study tries to apply an enhanced user priority model, taking into account the penalty and aging of job requests. It also combines least load variance method to improve the load balancing across grid resources. Simulation results obtained using realistic workloads bring forward the load balance efficiency of the studied scheme. This also confirms that to consider and infer of improved modeling of these user priority provides gains that outperform the methods void of it. The results attained are equated and contrasted with prevailing algorithms in terms of parameters like response time, wait time, tardiness, and average resource utilization in high-performance computing environments. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Resource allocation

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