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Proceedings - 2023 IEEE international Conference on Parallel and distributed Processing with applications, Big Data and Cloud computing, Sustainable computing and Communications, Social computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023

Proceedings - 2023 IEEE International Conference on Parallel...

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21st IEEE international symposium on Parallel and distributed Processing with applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

ISBN: (纸本)9798350329223

The proceedings contain 153 papers. The topics discussed include: transaction data management optimization based on multi-partitioning in blockchain systems;semi-asynchronous federated learning optimized for NON-IID data communication based on tensor decomposition;HKTGNN: hierarchical knowledge transferable graph neural network-based supply chain risk assessment;DQR-TTS: semi-supervised text-to-speech synthesis with dynamic quantized representation;deep reinforcement learning-based network moving target defense in DPDK;iNUMAlloc: towards intelligent memory allocation for AI accelerators with NUMA;and predictive queue-based low latency congestion detection in data center networks.

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PERMAVOST '22: Workshop on Performance engineering, Modelling, Analysis, and Visualization Strategy 22

PERMAVOST '22: Workshop on Performance Engineering, Modellin...

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31st international symposium on High-Performance Parallel and distributed computing (HPDC)

作者： Liem, Radita Solorzano, Ana Veroneze Scully-Allison, Connor Rhein Westfal TH Aachen Aachen Germany Northeastern Univ Boston MA USA Univ Arizona Tucson AZ USA

ISBN: (纸本)9781450391993

Modern software engineering is getting increasingly complicated. Especially in the HPC field, we are dealing with cutting edge infrastructure and a novel problem with unprecedented scale. The ability to monitor and analyze the performance of such applications and infrastructure is imperative for the future of improvement, design, and maintenance. In the current era, the writing and maintenance of these applications have ceased to be the job solely of computer scientists and has grown to encompass a wide variety of experts in mathematics, science, and other engineering disciplines. The fact that many developers from these disciplines have not received a formal education in computer science and rely increasingly on the tools created by computer scientists to analyze and optimize their code shows that there's a need for a forum to work together.

关键词： Performance analysis and methodology performance engineering

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Deploying scientific applications to the PRAGMA grid testbed: Strategies and lessons 06

Deploying scientific applications to the PRAGMA grid testbed...

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6th IEEE international symposium on Cluster computing and the Grid (CCGRID 2006)

作者： Abramson, David Lynch, Amanda Takemiya, Hiroshi Tanimura, Yusuke Date, Susumu Nakamura, Haruki Jeong, Karpjoo Hwang, Suntae Zhu, Ji Lu, Zhong-hua Amoreira, Celine Baldridge, Kim Lee, Hurng-Chun Wang, Chi-Wei Shih, Homg-Liang Molina, Tomas Li, Wilfred W. Arzberger, Peter W. Monash Univ Wellington Rd Clayton Vic 3800 Australia AIST Tokyo Japan Osaka Univ CMC Suita Osaka 565 Japan Osaka Univ Inst Protein Res Suita Osaka 565 Japan Korea Univ Seoul South Korea Chinese Acad Sci CNIC Beijing Peoples R China Univ Zurich CH-8006 Zurich Switzerland Acad Sinica Grid Computing Taipei Taiwan Univ Calif San Diego La Jolla CA 92093 USA

ISBN: (纸本)0769525857

Recent advances in grid infrastructure and middleware development have enabled various types of applications in science and engineering to be deployed on the grid. The characteristics of these applications and the diverse infrastructure and middleware solutions developed, utilized or adapted by PRAGMA member institutes are summarized. The applications include those for climate modeling, computational chemistry, bioinformatics and computational genomics, remote control of instruments, and distributed databases. Many of the applications are deployed to the PRAGMA grid testbed in routine basis experiments. Strategies for deploying applications without modifications, and those taking advantage of new programming models on the grid are explored and valuable lessons learned are reported. Comprehensive end to end solutions from PRAGMA member institutes that provide important grid middleware components and generalized models of integrating applications and instruments on the grid are also described.

关键词： PRAGMA grid applications deployment strategies lessons

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Research on business Processes with Semantic Web Technologies

Research on Business Processes with Semantic Web Technologie...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Qiumei Pu Xiuqin Pan Yue Zhao Xiaona Xu Institute of Information Engineering Minzu University of China Beijing China

Open environment of dynamic interoperable electronic business processes is a key demand for the increasing business applications. business processes are at the core of dynamic electronic business. In this paper, we propose a model for business processes that provides an intelligent model for supporting distribute electronic business environment. This study brings up the business process on the semantic web and we define an agent's ontology for this interaction framework. This mechanism can help agents understand the knowledge dynamically and cooperation with other agents in business process.

关键词： business Ontologies Semantics OWL Cognition Multiagent systems

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Investigation of Conscious Visual Perception via Visual Stimulus Propagation through a 3D-SNN Brain Model 18

Investigation of Conscious Visual Perception via Visual Stim...

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18th international Conference on Innovations in Intelligent Systems and applications (INISTA)

作者： Koprinkova-Hristova, Petia Nedelcheva, Simona Bocheva, Nadejda Bulgarian Acad Sci Inst Informat & Commun Technol Sofia Bulgaria Bulgarian Acad Sci Inst Neurobiol Sofia Bulgaria

ISBN: (纸本)9798350368130

In this study, we investigate the propagation of information about visual stimuli through the brain. In our previous work, we designed a three-dimensional spiking neural network (3D-SNN) structure based on an available brain atlas for this aim. It was trained via reverse engineering, i.e., by feeding EEG recordings from a human subject during preparation for the performance of a visual task into the positions of the electrodes on the skull and letting the synapses adapt via spiketiming dependent plasticity rule. In the current work, a visual stimulus consisting of a sequence of images of dots with varying positions was processed by spatiotemporal filters mimicking retinal ganglion cells and was fed as generating currents to the neurons in the brain sensory relay - the thalamus. The study aims to observe the propagation of the visual stimulus information and stages of its conscious perception.

关键词： Reverse engineering

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Semi-asynchronous Federated Learning Optimized for NON-IID Data Communication based on Tensor Decomposition 21

Semi-asynchronous Federated Learning Optimized for NON-IID D...

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作者： Wu, Qidong Fu, Xuemei Yang, Xiangli Zhao, Ruonan Wu, Chengqian Zhang, Tinghua Hainan University School of Computer Science and Technology Haikou China Hainan University School of Information and Communication Engineering Haikou China

ISBN: (纸本)9798350329223

Federated Learning (FL) is a new distributed machine learning framework that enables reliable collaborative training without collecting users' private data, it can successfully address the issue of data silos. However, FL has had trouble scaling to statistically varied data and large-scale models because of its frequent communication and average aggregation procedures. In this paper, we propose a Semi-asynchronous Stochastic Controlled Averaging based on Tensor Decomposition for Federated Learning (SATD-SCAFFOLD), in which we perform tensor decomposition on the client model to reduce communication costs. In addition, we design a semi-asynchronous aggregation approach for the server, which can prevent server from wasting too much time waiting for data from late clients in the case of an unstable network, and the overall model still has excellent performance. Thorough experiments demonstrate that our proposed SATDSCAFFOLD algorithm can reduce both the communication cost and convergence time while maintaining good performance. © 2023 IEEE.

关键词： Stochastic systems

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Advances in Computational science and engineering 2009

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丛书名： Communications in Computer and Information science

2009年

作者： Laurence Tianruo Yang Jong Hyuk Park Thanos Vasilakos Yan Zhang Damien Sauveron Xingang Wang Young-Sik Jeong

ISBN: (数字)9783642102387

ISBN: (纸本)9783642102370

This volume constitutes the selected and extended papers of workshops and symposia of the international Conference, on Advances in Computational science and engineering, FGCN2008, held in Sanya, Hainan Island, China in December 2008. The volume contains the workshops on peer-to-peer computing for information search (P2PSearch 2008), on wireless ad hoc, mesh and sensor networks (WAMSNet-08), on sensor networks and applications (SNA 2008), on wireless communications for intelligent transportation systems (WITS-08), on network assurance (NA 2008) , on communication & network technology management 2008 (CNM 2008), on forensics for future generation communication environments (F2GC-08), as well as on silver technology for aging society (STAS2008), together with the symposia on the 3rd international symposium on smart home (SH'08), on database theory and application (DTA-08), on u- and e- service, science and technology (UNESST-08), on control and automation (CA-08) , on grid and distributed computing (GDC-08), as well as on signal processing, image processing and pattern recognition (SIP 2008).

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Hierarchical Task Scheduling for Heterogeneous UAVs based on Hybrid Genetic Algorithm 21

Hierarchical Task Scheduling for Heterogeneous UAVs based on...

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作者： Zeng, Ziming Dong, Chao Zhu, Xiaojun Zhang, Lei Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing China Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing China

ISBN: (纸本)9798350329223

The unmanned aerial vehicle (UAV) swarm is becoming an important part of the future battlefield. In highly adversarial battlefield environments, when the UAV swarm is damaged, the remaining UAVs cannot complete tasks due to the lack of payload resources. To address the problem, a hierarchical task-UAV scheduling model is proposed based on a heterogeneous UAV resource pool. Surviving UAVs can access the resource pool;once the payloads of UAVs are sufficient, reconstruction of the UAV swarm will be undertaken for the specific target tasks. In addition, potential channel usage conflicts between UAV swarms are considered, and a mechanism is introduced to adjust channel usage time. To obtain the task assignment scheme, a hybrid genetic algorithm with the Boltzmann survival mechanism and a tabu search method is proposed. The simulation results show that the proposed algorithm outperforms other algorithms in task assignment scenarios. © 2023 IEEE.

关键词： Genetic algorithms

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Editorial

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Recent Patents on Computer science 2014年第1期7卷 1-2页

作者： McHeick, Hamid Computer Science Department University of Quebec at Chicoutimi ChicoutimiQC Canada

Hamid Mcheick is currently an associate professor in computer science department at the University of Quebec At Chicoutimi (UQAC), Quebec, Canada. He holds a PhD degree in software engineering and distributed system from Montreal University, Canada. He holds a master degree from the University of Quebec at Montreal, Canada in information retrieval system. Professor Mcheick is interested in distributed software architecture, mobiles applications and pervasive computing, as well as in separation of concerns (component, services, aspect, etc.). He works also in ubiquitous computing, service composition of business process. He has given many talks in congresses and conferences as a keynote or invited speaker. He is a chief in editor and guest editor of several international journals. His research is supported by many research grants he has received from the Canadian government, University of Montreal, CRIM (Centre de Recherche informatique de Montreal), University of UQAM, and University of Quebec At Chicoutimi, Canada. The missions of Bentham Journal volume aim to bring, for both academics as well as for industrial practitioners, a set of articles discussing and answering the recent patents on core topics of software computing and intelligence and improving the state-of-the-art of worldwide research in the areas of computer science issues by publishing high-quality articles in this area, and by exposing the readers to various methodologies, tools, technologies, algorithms, results, and types of articles. It is our pleasure to highlight in June 2014, the 7th volume of the Journal Recent Patents on Computer science (CSENG) that includes a selected and reviewed research papers. This issue includes papers of Software Defined Networks for Data Center Optimization, Intelligent techniques and systems in credit risk analysis and forecasting, Cultivating Software Solutions Development in the Scientific Academia, Information Security and Threats in Mobile Appli

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Briareus: Accelerating python applications with cloud

Briareus: Accelerating python applications with cloud

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2013 IEEE 37th Annual Computer Software and applications Conference, COMPSAC 2013

作者： Zhu, Zhaomeng Zhang, Gongxuan Zhang, Yongping Guo, Jian Xiong, Naixue School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu 210094 China School of Computer Science Colorado Technical University Colorado Spring CO 80907 United States

ISBN: (纸本)9780769549798

Briareus provides convenient tools to make use of computing resources provided by cloud to accelerate Python applications. In this paper, three techniques are presented. First, some of the functions in a Python program can be migrated to cloud and be evaluated using the hardware and software provided by that cloud platform, while the other parts still running locally. Second, Briareus can automatically parallelize specified loops in a program to accelerate it. And third, specified functions can be called asynchronously after being patched, so that two or more functions can be evaluated simultaneously. By combining these three methods, a Python application can make part of itself to run in a remote cloud platform in parallel. To use Briareus, developers do not need to modify the existing source much, but only need to insert some descriptive comments and invoke a patching function at the beginning. Experiments show that Briareus can significantly speed up the running of programs written by Python, especially for those for scientific and engineering computing. The early beta version of Briareus has been developed for testing and all sources are accessible to public via GitHub and installable via PyPI. © 2013 IEEE.

关键词： Python

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