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Scalable Performance Testing for distributed Big Data Frameworks 1

Scalable Performance Testing for Distributed Big Data Framew...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Ramdass, Karthikeyan Mulka, Arun Agarwal, Nitin Avvaru, Sugeetha Gupta, Gopal Kumar Chauhan, Sansar Singh Anna University Chennai India Kakatiya University Telangana Warangal India Galgotia's College of Engineering and Technology Uttar Pradesh Technical University Uttar Pradesh India Nagpur Campus Pune440008 India G.L. Bajaj Institute of Technology and Management Department of Computer Science and Engineering Greater Noida201306 India

ISBN: (纸本)9798331518578

The development of distributed Big Data frameworks relies heavily on performance testing because this part is what decides the robustness and scalability of systems. There is no scale performance testing methods that could support the enormous volume of data in the new era of Big Data frameworks. Thus, a scalable performance testing approach can monitor the system's performance and expose potential bottlenecks. The suggested solution is a Scalable Performance Testing framework to test big-scale available systems. The framework is built on a distributed architecture that models real-world scenarios and creates a high-volume workload for testing. Think of it as a driver-assist that uses one of the most advanced data generation techniques to generate data sets that look like real-world data sets, making it easier to measure performance. SPT is flexible, extensible, and will be out-of-the-box compatible with most of the Big Data frameworks and deployment scenarios. Such scalability guarantees that the framework is adapted for the volatility of Big Data environments. Also, it remains a reliable tool for performance measurements in the long run when the system scales. © 2025 ieee.

关键词： Development Framework Generation Performance Techniques

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A Survey of distributed Algorithms for Aggregate Games 1

A Survey of Distributed Algorithms for Aggregate Games

引用

1st international conference on Cyber-Energy systems and Intelligent Energy, ICCSIE 2022

作者： Yang, Kun Song, Ruizhuo University of Science and Technology Beijing School of Automation and Electrical Engineering Beijing China

ISBN: (纸本)9781665452151

Aggregation game is a kind of non-cooperative Nash game, in which the revenue of each player is determined by his behavior and the aggregate function of all players' behaviors. In recent years, it has been closely linked with large-scale network distributed algorithms, and gradually attracted people's attention. This paper systematically studies the current achievements of the main distributed algorithms of network aggregation game and prospects the future research. © 2023 ieee.

关键词： Aggregates

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Intelligent Frequency Regulation under a Deregulated Control System Using distributed Energy storage systems 1

Intelligent Frequency Regulation under a Deregulated Control...

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1st international conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Prajapati, Shweta Y. Patel, Dharmesh Prajapati, Yogesh Gujarat Technological University Gandhinagar India Bbit Vallabh Vidyanagar India Gvernment Engineering College Bharuch India Bvm Engineering College Vallabh Vidyanagar India

ISBN: (纸本)9798331520540

Now a day, electrical vehicles and their linked control framework are the key points for the power system and its framework. Even design and implementation for an electrical vehicle (EV) with programmed era control under a linked control framework. Both stated requirements are fulfilled here with a representation of result validations. This editorial presents two areas thermal-thermal non-reheat frameworks that are studied in a deregulated environment. Distinctive case studies of the first as a two-sided/bilateral contract and the second as a contract violation with EV behaviour have been produced and exhibited using the DISCO interest framework. The prevalence of lattice-associated Conveyed Vitality Capacity (EVs) has been demonstrated by a comparison of movements with and without EVs to dampen recurrence. Furthermore, the reasonable outcomes for the fuzzy-tuned PI controller & the simple PI controller were assessed. The advantages of minimizing fluctuation time and peak overshoots are discussed and demonstrated. © 2025 ieee.

关键词： Proportional control systems

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Energy-Efficient distributed Improved Greedy Clustering In WSN 1

Energy-Efficient Distributed Improved Greedy Clustering In W...

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1st ieee international conference on Emerging Research in Computational Science, ICERCS 2023

作者： Divyabharathi, S. Veni, S. Karpagam Academy of Higher Education Department of Computer Science Coimbatore India

ISBN: (纸本)9798350359756

Since they can independently gather data from their surroundings, Wireless sensor Networks (WSNs) have garnered a lot of interest in many different contexts. However, the sensor nodes' limited energy resources provide a significant obstacle, making energy economy a top priority in the design and operation of WSNs. By grouping sensor nodes into clusters and facilitating efficient data collection and transmission, clustering methods have emerged as useful solutions to extend the lifespan of the network. In this context, this research proposes an innovative approach called Energy-Efficient distributed Improved Greedy Clustering (EEDIGC) for WSNs. The EEDIGC algorithm integrates the principles of both Greedy clustering and distributed clustering algorithms to optimize energy consumption. Using a decentralized and centralized protocol, sensor nodes in the proposed technique cluster together depending on their remaining battery life and their distance from the cluster leaders. By using the Improved Greedy method, we may reduce the amount of power needed for cluster creation while still achieving optimum cluster size distributions and leader selection. Moreover, EEDIGC incorporates data aggregation and adaptive clustering techniques, enhancing the network's overall energy efficiency. In terms of energy economy, network longevity, and data transmission reliability, simulation findings show that EEDIGC is superior to other clustering methods. The algorithm's distributed nature reduces the overhead associated with centralized control, making it suitable for large-scale WSN deployments. Furthermore, EEDIGC adapts to dynamic network conditions, ensuring robust performance even in challenging environments. © 2023 ieee.

关键词： Energy efficiency

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VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in distributed IoT 25

VPFL: A Verifiable Property Federated Learning Framework Aga...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Wu, Yuanxiang Cheng, Hang Guan, Lin Liu, Peihao Chen, Fei Wang, Meiqing College of Computer Science and Big Data Fuzhou University Fuzhou China

ISBN: (纸本)9798350330014

The development of Federated Learning (FL) offers an efficient Machine Learning (ML) approach with privacy protection to solve the data island issue in distributed Internet of Things (IoT). However, existing FL frameworks still suffer from invisible attacks in IoT environments, such as free-rider attacks, backdoor attacks, and model theft. In this paper, we propose a Verifiable Property Federated Learning (VPFL) framework to overcome the above invisible attacks. We present a black-box watermarking task distribution mechanism to prevent free-rider attacks by verifying the property of local models. Our adversarial fine-tuning embedding technique can not only eliminate backdoors in global models, but also simultaneously embed white-box watermarks into model parameters to prevent model theft. Comprehensive experimental evaluations demonstrate that our framework outperforms state-of-the-art schemes in terms of security and feasibility against invisible attacks. © 2023 ieee.

关键词： Internet of things

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Energy-Efficient I-RAW: An Intelligent-Routing Solution for Wireless Body Area Networks 1

Energy-Efficient I-RAW: An Intelligent-Routing Solution for ...

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1st international conference on Software, systems and Information Technology, SSITCON 2024

作者： Bhuvaneswari, Govindappagari Gomathi, N. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Avadi Dept. of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350352931

Recent advancements in sensing technology and the integration of electronic devices have given rise to a promising innovation called Wireless Body Area Networks (WBANs). This technology holds great potential to revolutionize healthcare by enabling remote health monitoring for patients not close to healthcare facilities. However, the sensor nodes placed on or beneath the skin to capture various physiological signals are limited by their battery life. This paper introduces the Intelligent-Routing Algorithm for WBANs (I-RAW) to address this challenge, designed to prolong these sensor nodes' operational lifespan. The system uses two sinks on the patient's front and rear body to gather data from sensor nodes arranged into clusters and relay information through a cluster head (CH). The Tunicate Swarm Algorithm (TSA) facilitates the cluster head selection, considering residual energy, average network energy, node-to-sink distance, path loss, and energy consumption rate. Using dual sinks helps mitigate network hot-spot issues by reducing the need for multi-hop communication. According to simulation data, I-RAW outperforms the Dual Sink technique, employing the DSCB protocol regarding stability and overall network lifespan. Furthermore, I-RAW outperforms other contemporary protocols across various performance metrics. © 2024 ieee.

关键词： sensor nodes

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Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism 25

Efficient Large Models Fine-tuning on Commodity Servers via ...

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作者： Liu, Yujie Lai, Zhiquan Liu, Weijie Wang, Wei Li, Dongsheng College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China

ISBN: (纸本)9798350330014

Large models have achieved impressive performance in many downstream tasks. Using pipeline parallelism to fine-tune large models on commodity GPU servers is an important way to make the excellent performance of large models available to the general public. Previous solutions fail to achieve an efficient memory-balanced pipeline parallelism. In this poster, we introduce a memory load-balanced pipeline parallel solution. This solution balances memory consumption across stages on commodity GPU servers via NVLink bridges. It establishes a new pathway to offload data from GPU to CPU by using the PCIe link of adjacent GPUs connected by the NVLink bridge. Furthermore, our method orchestrates offload operations to minimize the offload latency during large model fine-tuning. Experiments demonstrate that our solution can balance the memory footprint among pipeline stages without sacrificing training performance. © 2023 ieee.

关键词： Program processors

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Fully distributed Consensus of Multi-Agent systems Based on Event-Driven Control Policy 1

Fully distributed Consensus of Multi-Agent Systems Based on ...

引用

1st international conference on Cyber-Energy systems and Intelligent Energy, ICCSIE 2022

作者： Cai, Yuliang Sun, Shaoxin Gao, Zhiyun Zhang, Juan Qiao, Wei He, Qiang Liaoning University School of Mathematics and Statistics Liaoning Shenyang110036 China Chongqing University College of Automation Chongqing400044 China Civil Aviation University of China School of Transportation Science and Engineering Tianjin300300 China Northeastern University School of Information Science and Engineering Liaoning Shenyang110004 China Northeastern University College of Medicine and Biological Information Engineering Liaoning Shenyang110169 China

ISBN: (纸本)9781665452151

This study focuses on the fully distributed consensus problem of heterogeneous linear multi-agent systems with asynchronous edge-based event-driven control scheme. First, a new-type of event-triggered control mechanism was designed, and under this triggering condition, a compensator of fully distributed event driven is present to observe the leader's state. Then, for the unmeasurable state variables, a state observer is designed. Finally, a distributed controller is put forward to handle the output consensus problem, and Zeno phenomenon on each edge is eliminated theoretically. At last, the availability of the main theoretical results is verified by a numerical example. © 2023 ieee.

关键词： Multi agent systems

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Driving Efficiency: A Literature Review of Energy-Efficient Data Collection strategies for Mobile Sink-Based Wireless sensor Network 1

Driving Efficiency: A Literature Review of Energy-Efficient ...

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1st international conference on computing, Sciences and Communications, ICCSC 2024

作者： Upadhyay, Priyanka Meena, Uma Rana, Kamlesh SRM Institute of Science and Technology Department of Computer Science and Engineering Uttar Pradesh Modinagar India Bharat Institute of Technology and Science Department of Computer Science and Engineering Uttar Pradesh Meerut India

ISBN: (纸本)9798350353648

Portable sinks assume a vital part in information assortment within wireless sensor networks (WSNs), offering dynamic and flexible solutions to address the limitations of static sink-based architectures. Unlike their static counterparts, mobile sinks have the capability to traverse the network, adapt their trajectories, furthermore, gather information straightforwardly from sensor hubs. This versatility empowers a few critical benefits in information assortment proficiency, energy streamlining, and network execution upgrade. This survey paper presents an extensive outline of the writing on energy-effective information assortment plans for portable sink- based remote sensor organizations (WSNs). With the expansion of Web of Things (IoT) applications, WSNs have become integral for collecting data from the environment in various domains. However, traditional static sink-based approaches suffer from energy imbalances and limited network lifespans. The integration of mobile sinks offers a promising solution to these challenges by enabling dynamic data collection and energy-efficient routing. © 2024 ieee.

关键词： Data collection

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Reconfigurable PM2.5 sensor Green Deployment Mechanism Based on Blockchain Technology 1st

Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based...

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1st international conference on Security and Information Technologies with AI, Internet computing, and Big data Applications (SITAIBA)

作者： Chen, Hsing-Chung Liang, Yao-Hsien Hsu, Pei-Yu Asia Univ Dept Comp Sci & Informat Engn Taichung 413 Taiwan China Med Univ China Med Univ Hosp Dept Med Res Taichung 404 Taiwan

ISBN: (纸本)9783031054914;9783031054907

This paper presents the design of reconfigurable green PM2.5 sensor module deployment scheme based on blockchain technology. The proposed scheme proposes classes with hierarchical layers implemented by name registry smart contract that could be reconfigured for solving the green deployment problem among PM2.5 sensor modules. This proposed scheme design three functions made by smart contracts including Registration smart contract, Hierarchical Class Mapping Based on Name Registry Smart Contract Function, and Reconfigurable Working Grouping Smart Contract Function. The results shown that the modules which are measured the similar data will be distributed into the candidate group instead of the current working group, where the total corresponding energy consumption will be reduced for the BC transaction operations in this blockchain network. Moreover, the relevant data storages will be also avoided to store the duplication data as well as redundant data.

关键词： Reconfigurable green deployment Smart contract Name registry PM2.5 sensor module

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