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检索条件"主题词=software algorithms"

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COTuner: Joint Optimization of Resource Configuration and software Parameters for Recurring Streaming Jobs on the Cloud

COTuner: Joint Optimization of Resource Configuration and So...

引用

IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)

作者： Hui Dou Shanshan Zhu Yuxuan Zhou Yiwen Zhang Jicheng Mei Yang Wu Jiaqing Dai Anhui University Hefei China

ISBN: (数字)9798350395662

ISBN: (纸本)9798350395679

Considering the operational efficiency and cost-effectiveness, big data pipelines are increasingly deployed on the cloud. Since streaming jobs often recur at specific intervals, selecting appropriate resource configuration and software parameters for these recurring jobs can significantly reduce resource costs. However, the high-dimensional configuration space and the time and cost-consuming configuration evaluation together makes this joint optimization problem quite difficult if not impossible. To address this challenging problem, this paper introduces a framework called COTuner which is able jointly auto-tune the resource configuration and software parameters for recurring streaming jobs deployed on the cloud. Specifically, COTuner first introduces a pseudo-point mechanism into the BO_dropout algorithm to address the formulated high-dimensional black-box optimization problem while improving the convergence rate. Besides, COTuner is also able to be quick adaptive to different scenarios via the ability to adaptively adjusting its hyperparameters. We evaluated the effectiveness and efficiency of COTuner with three different stream processing jobs from Hibench under a local streaming pipeline consisting of Kafka and Flink. Experimental results show that COTuner can achieve better resource costs than all the other four baseline methods under the same performance constraint. In addition, we also leverage ablation experiments to analyze and illustrate the function of each proposed techniques in COTuner.

关键词： Cloud computing Costs Pipelines software algorithms Closed box Big Data Benchmark testing Sparks Optimization Convergence

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Research on Open Source software Vulnerability Mining Based on Improved Fuzz-SOA

Research on Open Source Software Vulnerability Mining Based ...

引用

Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC), International Conference on

作者： Jing Zhou Junhan Guo Qiaojuan Jia Ming Liu Tianqi Peng Xiaoyu Jin Dawei Ma Weitao Lu Shi Peng Zhanxiang Ma State Grid ECommerce Technology Co. Ltd. Tianjin China Communication University of China Beijing China

ISBN: (数字)9798331530280

ISBN: (纸本)9798331530297

With the introduction of a large number of malicious vulnerabilities in open source software, traditional vulnerability mining methods have a large number of invalid and lack of targeted test cases, resulting in low accuracy of vulnerability mining and high false alarm rate. In view of the above problems, this paper proposes an open source software vulnerability mining model based on improved fuzzy test combined with seeker optimization algorithm (Fuzz-SOA). Firstly, the vulnerability POC file is executed in the target open source software, and the effective fragment of the taint data propagation is obtained by the dynamic taint analysis method as the effective seed, and then the effective seed is screened. Then, the comprehensive seed evaluation function in the SOA intelligent algorithm is improved from the five evaluation types of code coverage, number of crashes, execution time, seed size, and number of hash values of the seed execution path, and the global optimal seed is obtained. In order to increase the randomness and diversity of the optimal seed, the seed mutation is carried out by combining the random mutation method, and the mutated seed is used as the input use case of the fuzzy test of the target open source software. The results of the comparison model show that the model has better open source software vulnerability mining capabilities and solves the problems existing in traditional methods.

关键词： Analytical models Heuristic algorithms Computational modeling software algorithms Diversity reception Fuzzing Computer crashes Data mining Open source software Optimization

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Design of a Hybrid Encryption Scheme Based on software and Hardware Collaboratin

Design of a Hybrid Encryption Scheme Based on Software and H...

引用

IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Xuankai Liu Bing Li School of Integrated Circuit Southeast University China School of Cyber Science and Engineering Southeast University China

ISBN: (数字)9798350350920

ISBN: (纸本)9798350350937

With the rapid development of electronic information technology, data security issues are becoming increasingly serious. Traditional single cryptographic algorithms cannot meet the increasing demands of security and computational speed. In order to solve the problem of fast and secure transmission of large amounts of data by embedded devices, this paper proposes an improved hybrid encryption algorithm based on national encryption algorithms such as SM2 and SM4. In the implementation methods of algorithms in embedded devices, software hardware collaborative design balances software flexibility and hardware parallelism, which also improves system security and reduces development and maintenance costs. Therefore, this article uses software hardware collaborative design methods to implement hybrid encryption algorithms. In addition, this article also optimizes the hardware of SM2 point multiplication, which can be used in devices with limited hardware resources. The experimental results show that under a 16MHz clock and using the elliptic curve recommended by SM2 on GF (2 257 ), the encryption speed is 4.04ms/time, the decryption speed is 2.96ms/time, and the number of point multiplication is 1685 times per second on Xilinx DDR200T FPGA.

关键词： Image processing software algorithms Collaboration Parallel processing Hardware software Encryption

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Experimental Validation of User Experience-Focused Dynamic Onboard Service Orchestration for software Defined Vehicles

Experimental Validation of User Experience-Focused Dynamic O...

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International Conference on Intelligent Transportation

作者： Pierre Laclau Stéphane Bonnet Bertrrand Ducourthial Trista Lin Xiaoting Li Heudiasyc CNRS Université de Technologie de Compiègne France Stellantis Poissy France

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

In response to the growing need for dynamic software features in automobiles, software Defined Vehicles (SDVs) have emerged as a promising solution. They integrate dynamic onboard service management to handle the large variety of user-requested services during vehicle operation. Allocating onboard resources efficiently in this setting is a challenging task, as it requires a balance between maximizing user experience and guaranteeing mixed-criticality Quality-of-Service (QoS) network requirements. Our previous research introduced a dynamic resource-based onboard service or-chestration algorithm. This algorithm considers real-time in-vehicle and V2X network health, along with onboard resource constraints, to globally select degraded modes for onboard applications. It maximizes the overall user experience at all times while being embeddable onboard for on-the-fly decision-making. A key enabler of this approach is the introduction of the Automotive eXperience Integrity Level (AXIL), a metric expressing runtime priority for non-safety-critical applications. While initial simulation results demonstrated the algorithm's effectiveness, a comprehensive performance assessment would greatly contribute in validating its industrial feasibility. In this current work, we present experimental results obtained from a dedicated test bench. These results illustrate, validate, and assess the practicality of our proposed solution, providing a solid foundation for the continued advancement of dynamic onboard service orchestration in SDVs.

关键词： Runtime Heuristic algorithms software algorithms Quality of service Dynamic scheduling Approximation algorithms User experience software Vehicle dynamics Vehicle-to-everything

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Real-Time Capable Control Room Laboratory for Communication and Integration Analysis of Various Power Grid software Components

Real-Time Capable Control Room Laboratory for Communication ...

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International Conference on Smart Energy Systems and Technologies (SEST)

作者： Gourab Banerjee Benjamin Requardt Sebastian Wende-von Berg Frank Marten Martin Braun Jürgen Hubert Ralf Scharnow Thorsten Arfmann Division of Grid Planning and Operation Fraunhofer IEE Kassel Germany Department of Energy Management and Power System Operation University of Kassel Germany Solution Area Smart Grid KISTERS AG Oldenburg Germany

ISBN: (数字)9798350386493

ISBN: (纸本)9798350386509

Utilizing the appropriate tools to monitor and control power grids is crucial for all control rooms. Many specialized solutions available in the market today (e.g., software for forecasting services or wind turbine control) can greatly help integrate renewable energies into a power grid. It is paramount that the hardware and software of individual components in control rooms communicate and operate with each other effectively and reliably. To address this need, Fraunhofer IEE has developed an independent control room laboratory for research on topics such as control algorithms and grid data models. This paper presents the technical setup and preliminary performance test results. Initial findings indicate quicker communication between the laboratory components led to greater overall system stability.

关键词： Renewable energy sources software algorithms Power system stability software Power grids Stability analysis Real-time systems Wind turbines software reliability Monitoring

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software Design of Remote RF Link Control System

Software Design of Remote RF Link Control System

引用

Electronic Information Engineering and Computer Science (EIECS), 2021 International Conference on

作者： Renlong Li Qian Fang Yujie Ren Yuyu Zhang Rui Gu Chen Gong China Satellite Maritime Tracking and Control Department Jiangyin China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

To meet the needs of remote control of radio frequency links, to design a remote control system. In response to the requirements of unclear control goals and data encryption, the system functional requirements are achieved through software optimization. For data encryption requirements, bit-by-bit partitioning is adopted, each partition contains an upper and lower levels. To achieve data encryption by selecting a key instead of the real value represented by the levels. The encryption method is rigorous and unique, and it realizes floating point number conversion. The binary is shortened and the short-term transmission effect is excellent. To design the specific data frame structure, and the control targets are distinguished by function codes, then achieve the accurate control of multiple targets through sub-function codes, it has the characteristics of clear structure and practical functions. By designing an automatic software configuration method, it adapts to the setting of different signal source control modes, and has the characteristics of simple on-site debugging. Through a series of original designs, the software of this remote control system has the characteristics of simple design and complete functions while ensuring system functions. It plays a major role in practical work. Its design method is also of reference value to similar projects.

关键词： Radio frequency software design Codes software algorithms Reliability engineering Control systems software Encryption software reliability Remote control

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Binary Water Wheel Plant Algorithm with Soft Gated Recurrent Unit for software Defect Prediction

Binary Water Wheel Plant Algorithm with Soft Gated Recurrent...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International Conference on

作者： Mustafa Eisa Misri Independent Research Tampa FL USA

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

This Advancements in technology have led to the development of a wide array of software applications aimed at identifying software defects, which play a crucial role in the advancement of science and technological innovations. While existing algorithms have attempted to predict the appropriate system for software defect detection, they often fall short of the expected results due to challenges such as the lack of dimensionality handling capabilities and the issue of overfitting, which hinders accurate defect prediction. To address these challenges, the Binary Water Wheel Plant Algorithm with Soft Gated Recurrent Unit (BWWPA-SGRU) model is proposed as an advanced solution for predicting software defects. This model leverages several data pre-processing techniques including z-score normalization and Synthetic Minority Oversampling Technique (SMOTE). The z-score normalization effectively rescales the data range, while SMOTE generates synthetic minority samples, thereby balancing the dataset. The Binary Water Wheel Plant Algorithm (BWWPA) is employed to select the most substantial features from the defect data, which minimizes the dimensionality and enhances the model's focus on key factors. The Soft Gated Recurrent Unit (SGRU) then processes the selected features, improving the model's capacity to interpret and learn from the data, resulting in enhanced performance for software defect prediction. The proposed BWWPA-SGRU model demonstrates superior performance with an accuracy of 0.942, precision of 0.935, recall of 0.947, and f1-score of 0.940 for PROMISE dataset, surpassing the results of the existing Heterogeneous cross-project defect prediction (HCPDP) method.

关键词： Accuracy software algorithms Wheels Logic gates Predictive models Prediction algorithms Feature extraction software Data models Standards

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software fault localization based on eigenvector centrality in complex network theory

Software fault localization based on eigenvector centrality ...

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IEEE International Conference on software Quality, Reliability and Security Companion (QRS-C)

作者： Wentao Wu Shihai Wang Yuanxun Shao Wandong Xie School of Reliability and Systems Engineering Beihang University Beijing China Science and Technology on Reliability and Environmental Engineering Laboratory China State Key Laboratory of Software Development Environment China Aerospace Science and Engineering Network Information development CO. LTD Beijing China Information Center of China North Industries Group Corporation Beijing China

ISBN: (数字)9798350365658

ISBN: (纸本)9798350365665

software debugging plays a crucial role in fault localization tasks, and spectrum-based fault localization (SBFL) is a hot topic in software automation debugging research. However, existing SBFL technologies are generally limited by tie within ranks, where a large number of elements share the same suspiciousness, which in turn severely limits the performance of SBFL. To this end, we propose an SBFL model based on eigenvector centrality (FLEC). This algorithm first utilizes the statement coverage information in the program spectrum to construct a statement network, and adopts the correlation between statements as edge weights. Then, FLEC takes statement suspiciousness as node weight. On this basis, the algorithm utilizes the eigenvector centrality to calculate the weighted suspiciousness of each statement while considering both node importance and correlation between nodes. Finally, FLEC conducted experimental validation on 3 datasets of Defects4J, and the results showed an average improvement of 10.7% in ACC@N compared to the optimal baseline.

关键词： Location awareness Correlation software algorithms software quality Debugging Complex networks Reliability engineering software reliability Security software debugging

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Design and implementation of multi-channel universal software for satellite ground testing

Design and implementation of multi-channel universal softwar...

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IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

作者： Han Yao Xin Feng Liwei Zhang Daoyu Wu Chunxiao Wang Shanghai Aerospace Electronic Technology Institute Shanghai China

ISBN: (数字)9798350316537

ISBN: (纸本)9798350316544

The ground testing system is crucial for satellite telemetry and telecommand testing. Here we design and implement a multi-channel universal ground testing software based on RS-422 bus, which send and receive multiple telemetry and telecommand data simultaneously, and the communication of all channels are mutually independent. Using the design concept of modularization and multi-thread, the software can reduce code modifications and improve versatility for constantly changing requirements. In addition, real-time and offline data parsing algorithms are introduced in this paper, and the experimental results show that the decoding accuracy achieved 100% after testing with a certain satellite device. The test results have shown that the proposed ground testing software with high test efficiency, stable performance, and strong universality, not only can verify the satellite devices on the ground, but also acts as a collection device for satellite payloads.

关键词： Performance evaluation Satellites Accuracy software algorithms software Real-time systems software reliability

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software sensor to monitor a synthetic microbial community emulating the dietary fiber impact on the gut microbiota

Software sensor to monitor a synthetic microbial community e...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Bárbara Maya Yocanxóchitl Perfecto-Avalos Abel Gutiérrez-Vilchis Alejandro Garcia-Gonzalez School of Medicine and Health Sciences Tecnologico de Monterrey Zapopan Mexico School of Engineering and Sciences Tecnologico de Monterrey Zapopan Mexico

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Human health is related to the gut microbiota, a complex ecosystem integrated by microorganisms and host cells. In vivo study of microbiota implies sophisticated analytical techniques, making it hard to study its dynamic changes. In vitro studies have proved helpful in deciphering interactions using representative synthetic microbial communities. Its characterization still depends on multiple sensors and analytical and molecular techniques. This work presents a SynCom including three bacteria with inulin as a fiber source to synthesize acetic, propionic, and butyric acids. A software sensor based on the Differential Neural Networks was implemented to estimate the SynCom dynamic. Species growth and byproduct concentration were estimated from available information (pH and optical density). We assessed the approach based on reported datasets; less than 5% of the error was achieved in less than 0.5 h, and we proved that our algorithm is suitable in noisy environments. This approach could accelerate the dynamic description of gut microbiota and reduce cost and time investment.

关键词： Optical fibers Optical fiber sensors Soft sensors software algorithms Neural networks Optical computing Optical fiber networks Sensor phenomena and characterization Noise measurement Monitoring

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