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Performance improvement for applications on parallel computers 15

Performance improvement for applications on parallel compute...

引用

15th international Parallel and distributed Processing symposium, IPDPS 2001

作者： Qiao, Xiangzhen Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China

ISBN: (纸本)0769509908

The performance of applications on parallel computer systems is analyzed, and a general timing formula is proposed in the paper. The analyses are based on the "double-stream" (computation and data access) idea. According to these analyses, some techniques for improving the performance of applications on parallel systems are given. The cache thrashing phenomena on symmetric multiprocessors (SMP) are analyzed, and the "fix point" iteration method is used to deal with some cache thrashing phenomena. The timing balance problem of heterogeneous clusters is discussed, and the non-uniform partition strategy is studied. Some optimization techniques (horizontal-vertical decomposition, non-uniform partition, and overlapping of communication with computation) are used to improve the performance of a class of parallel applications on clusters of multiprocessors. Compared with previous results, our experiences show distinct performance improvements. © 2001 IEEE.

关键词： Iterative methods

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A Multi-attention Based CNN-BiLSTM Intrusion Detection Model for In-vehicle Networks 21

A Multi-attention Based CNN-BiLSTM Intrusion Detection Model...

引用

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

作者： Gao, Kai Huang, Hao Liu, Linhong Du, Ronghua Zhang, Jinlai Changsha University of Science & Technology College of Automotive and Mechanical Engineering Changsha410114 China

ISBN: (纸本)9798350329223

The development of vehicular networking technology continuously enhances the internet connectivity of modern vehicles. However, for in-vehicle networks, constant communication with the outside world dramatically increases vehicle security risks, posing serious security threats to automotive systems and occupants. This paper proposes a CNN-BiLSTM vehicular network intrusion detection model based on multi-head attention by analyzing the information security vulnerabilities in the Controller Area Network (CAN) bus. By extracting only the communication features of CAN messages, including CAN ID and Data field, this paper conducted a multiclass classification study on the real-time traffic dataset CarHacking. The model achieved a detection accuracy of 99.992%. The reduction of features effectively simplifies the model and improves its computation efficiency. © 2023 IEEE.

关键词： Anomaly detection

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engineering Web Service Markets for Federated business applications

引用

10th international Work-Conference on Artificial Neural Networks (IWANN 2009)

作者： Brehm, Nico Golinska, Paulina RepuGraph Com BIC Alte Leipziger Str 50 D-99734 Nordhausen Germany Poznan Univ Tech PL-60965 Poznan Poland

ISBN: (纸本)9783642024801

In this paper we discuss the idea of Web Service market places as an extended point of view towards the SOA paradigm. As existing business applications include software functionality which can be reused in new applications the idea of a shared management among allied (federated) network nodes as participants of a superordinated union of software providers and software consumers arises. Having a look at the example of a Federated ERP system we show the advantages and challenges coming along with this idea. As one of the most important issues to be considered in this context we discuss a decentralized approach for the establishment of trust relationships in federated networks. In this approach Web Service consumers rate Web Service providers, that support the competitive behavior between Web Service providers in a market-oriented system.

关键词： Web services

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Energy Efficient Speed Planning of Electric Vehicles for Vehicle-Following Scenarios Using Data-driven Koopman Model 21

Energy Efficient Speed Planning of Electric Vehicles for Veh...

引用

作者： Chen, Bin Wang, Miaoben Zhou, Feng Yan, Haoyang Du, Ronghua Changsha University of Science and Technology College of Automotive and Mechanical Engineering Changsha China Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350329223

In the context of urban road following scenarios, ensuring the precise speed prediction and control of electric vehicle while rigorously maintaining the safe driving conditions has persistently presented a formidable challenge. To address such issues, a novel data-driven approach for the energy efficient speed planning of electric vehicles in vehicle-following scenarios is proposed. Incorporating Koopman operator theory, the developed control-oriented vehicle dynamics prediction model leverages real-world vehicle-following data in various vehicle-following scenarios. Subsequently, a data-driven Koopman model predictive control (MPC) method is developed based on the established prediction model, which focuses on reducing the energy consumption through speed planning while ensuring safe following distances. The comparative simulation results ultimately demonstrate the effectiveness of the proposed method under various driving scenarios. © 2023 IEEE.

关键词： Model predictive control

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Study for performance benchmark of bank intermediary business on high-performance fault-tolerant computers

Study for performance benchmark of bank intermediary busines...

引用

IEEE international symposium on Parallel and distributed Processing With applications

作者： Li, Bo Zhou, Haiying Zuo, Decheng Zhang, Zhan School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9780769541907

The dominant position of High-Performance Fault-Tolerant (HPFT) computers in security and economics has advanced the studies on the performance benchmarks on the HPFT computers in the specific field, such as bank finance and telecommunication etc. Although TPC (Transaction Processing Council) has proposed some benchmarks models for different OLTP (On-Line Transaction Processing) complex business, such as TPC-C and TPC-E, there is still a lack of the performance benchmark model dedicated to the bank intermediary business on HPFT computers. This paper proposes a Bank Intermediary business performance benchmark (BIBbench), and gives a solution to test and evaluate this benchmark on HPFT computers for bank intermediary business. In this paper, we present the architecture of BIBbench, defining the structures and attributes of the business model, the database model and the transaction/frame model, and illuminating the workload generation mechanism of the intermediary business system as well. The BIBbench testing environment architecture is also discussed in the paper, as well as the testing solutions and tools. Currently, this BIBbench has been partly implemented on the Oracle 10g database system, and some performance testing experiences based on the BIBbench for HPFT computers have been made. © 2010 IEEE.

关键词： Systems engineering

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Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection 2015

Aggregating Opinions to Optimize Multi-objective Urban Tacti...

引用

19th IEEE/ACM international symposium on distributed Simulation and Real Time applications (DS-RT)

作者： Xu, Kai Sun, Lin Yin, Quanjun Natl Univ Def Technol Sch Informat Syst & Management Changsha Hunan Peoples R China

ISBN: (纸本)9781467378222

In this research-in-progress paper we present a new real-world domain for studying the aggregation of different opinions: optimal urban tactical position selection (TPS). This is an important and foreseeable real world application, not only because cities have been viewed as centers of gravity by military planners throughout history, but also because the military significance of cities has increased proportionally as the global urbanization does. We first present a mapping between the domain of engineering research and that of the agent models present in the literature and use genetic multi-objective optimization method to generate Pareto TPS plans. Further we study the importance of forming diverse teams when aggregating opinions of different problem solvers for tactical position selection, and also the relationships of the number of problem solvers with time ratio and the solution efficiency. We show that a diverse team of problem solvers is able to provide better force deployment plans for early-stage decision makers to choose from. We also find that opinion aggregation methods, like approval voting, help to allocate a difficult problem solving among several computing resources, and at the same time ensuring the efficiency of solutions. Finally, we present next steps for a deeper exploration of our questions.

关键词： problem solver opinion city Solvers Center of gravity engineering research transaction processing system optimization method Problem solving

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Resource-Limited Localized Adaptive Adversarial Training for Machine Learning Model 21

Resource-Limited Localized Adaptive Adversarial Training for...

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作者： Rajhi, Mohammed Pissinou, Niki Florida International University School of Computing and Information Sciences MiamiFL United States Jazan University Faculty of Computer Science & Information Technology Jazan Saudi Arabia

ISBN: (纸本)9798350329223

Balancing robustness and computational efficiency in machine learning models is challenging, especially in settings with limited resources like mobile and IoT devices. This study introduces Adaptive and Localized Adversarial Training (ALAT), an optimization approach that balances these competing needs. ALAT combines generalized models with localized adversarial perturbations and adaptive data augmentation. As a result, the model strengthens its weak points without needing to explore all possible adversarial threats, saving computational effort Our data shows that ALAT-trained models perform robustly with less computational cost compared to traditional adversarial training methods. This adaptability makes ALAT suitable for various machine learning architectures and particularly valuable in resource-constrained settings requiring resilience to adversarial threats. © 2023 IEEE.

关键词： Computational efficiency

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The Empirical study and analysis of the Blockchain Technology 3

The Empirical study and analysis of the Blockchain Technolog...

引用

3rd international Conference on Inventive Research in computing applications, ICIRCA 2021

作者： Bharti, Vishal Anand, Darpan Chandigarh University Department of Computer Science and Engineering Punjab Gharuan Mohali140413 India

ISBN: (纸本)9780738146270

Blockchain is the emerging technological field for the current era due to its advantages such as distributed computing, transparency, cryptography enabled secure communication and message as well as source integrity. This technology is the innovation which can prompt critical changes the existing business climate and will have unexpected outcome. Blockchain can change the existing system and processes in which the organizations and business works, and able to modify our economy and financial system. It is distributed, decentralized and disseminated record novelty that expects to guarantee truthfulness. Since it can't be transformed or counterfeit most of the current focus in the research area as of cryptocurrency like BITCOIN. Blockchain Technology is something beyond digital currency, and it can have a few applications in government, money and banking industry, bookkeeping and business Process Management. Hence, this examination endeavors to research and investigate its chances and difficulties for the momentum or future uses of Blockchain Technology. In this way, an enormous number of distributed investigations were painstakingly checked on and broke down dependent on their commitments to the Blockchain's assortment of information. © 2021 IEEE.

关键词： Blockchain

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BOLAS+: Scalable lightweight locality-aware scheduling for Hadoop 15

BOLAS+: Scalable lightweight locality-aware scheduling for H...

引用

Joint 15th IEEE international Conference on Trust, Security and Privacy in computing and Communications, 10th IEEE international Conference on Big Data science and engineering and 14th IEEE international symposium on Parallel and distributed Processing with applications, IEEE TrustCom/BigDataSE/ISPA 2016

作者： Gao, Shengli Xue, Ruini School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781509032051

Locality-aware task scheduling for MapReduce can reduce job execution time by avoiding data transferring. However, many existing scheduling algorithms suffer from either heavy storage overhead, reduced task parallelism, significant response time, or poor scalability. To address these issues, this paper presents BOLAS+, a scalable lightweight locality-aware scheduling algorithm for Hadoop. BOLAS+ takes such global information as block distribution and node performance divergence into consideration for optimal scheduling. BOLAS+ associates each node and each block replica with a value, node importance, and replica priority, respectively. As the only factors for scheduling decision-making, these two values are updated dynamically upon a scheduling request, and are designed in a way that they can be calculated very efficiently. Only simple comparisons within these values of local blocks are involved during scheduling, which guarantees the scalability of BOLAS+. Experimental results show that BOLAS+ can completely eliminate off-switch scheduling, and ensure more than 95% node-local scheduling with a very low complexity O(n/m), which in turn can reduce the total job execution time by up to 15.1%. © 2016 IEEE.

关键词： MapReduce

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A chronological history-based execution time estimation model for embarrassingly parallel applications on grids

A chronological history-based execution time estimation mode...

引用

3rd international symposium on Parallel and distributed Processing and applications, ISPA 2005

作者： Yang, Chao-Tung Shih, Po-Chi Lin, Cheng-Fang Hsu, Ching-Hsien Li, Kuan-Ching High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan

ISBN: (纸本)3540297693

In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this paper, it is described a Chronological history-based execution time estimation model to predict current execution time, according to the previous execution results. We built a heterogeneous computational Grid environment using Globus Toolkit, and our research is focused in Grid computing environments and to execute parallel jobs on multiple resources by measuring its accuracy. The experimental results shown that our model can accurately predict the execution time of embarrassingly parallel applications. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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