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59th Annual ieee international conference on Communications (ieee ICC)

作者： Sartzetakis, Ippokratis Pantazopoulos, Panagiotis Katsaros, Konstantinos V. Sourlas, Vasilis Varvarigos, Emmanouel

ISBN: (纸本)9781728190549

Edge computing is a recent paradigm where the processing takes place close to the data sources. It therefore reduces latency and saves bandwidth compared to traditional cloud computing. The latter can continue to play a supportive role. Edge-cloud computing provides benefits in many use cases including distributed computation algorithms, where the processing is divided into a number of tasks that are executed in parallel on different equipment. An important relevant challenge is to allocate the appropriate resources to process the data that are continuously generated from user devices. The issue becomes more complicated when we take into account the variations in the volume of the generated data as a function of time. In this paper we present a resource allocation algorithm for distributed computation with emphasis on machine learning algorithms. We consider that the resource requirements vary with time in a semi-static way that exhibits some daily pattern. We distinguish between periodic (expected) variations that occur during the day, and sporadic variations due to unexpected events. We propose an Integer Linear Programming algorithm to allocate the periodic resource requirements. To handle the non-periodic requirements, we consider a suitable prediction algorithm coupled with a reconfiguration algorithm that allocates the predicted required resources. Our results indicate that our proposal outperforms traditional allocation algorithms in terms of resource utilization, monetary cost and achieved accuracy.

关键词： cloud and edge computing distributed computing distributed machine learning resource allocation prediction dynamic

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A Lightweight Three Dimensional Redeployment Algorithm for distributed Mobile Wireless Sensor Networks

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WIRELESS PERSONAL COMMUNICATIONS 2024年第2期135卷 835-873页

作者： Boufares, Nadia Ben Saied, Yosra Azouz Saidane, Leila Univ Manouba Natl Sch Comp Sci Manouba Tunisia Univ Carthage Tunis Tunisia

In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D) coverage in various applications. This oversight leads to ineffective data gathering due to incomplete area coverage and network connectivity. In previous researches (Boufares et al. in: 2018 31 ieee/ACS 15th international conference on computer systems and applications (AICCSA), Aqaba, Jordan, pp 1-8, 2018, in: 13th international wireless communications and mobile computing conference (IWCMC), Valencia, pp 1628-1633, 2017, in: ieee wireless communications and mobile computing conference (IWCMC), Dubrovnik, Croatia, pp 563-568, 2015a, in: the 4th international conference on performance evaluation and modeling in wired and wireless networks (PEMWN), Hammamet, Tunisia, pp 103-108, 2015b), we proposed 3D mobile autonomous redeployment strategies based on the Virtual Forces Algorithm, tailored for diverse configurations: 3D volume applications such as smart homes or agriculture, 3D flat surfaces like snow monitoring, and 3D terrain surfaces like volcano monitoring. Our approach ensured complete coverage and connectivity in these scenarios. Moreover, energy efficiency emerges as a critical concern, given the autonomous and mobile nature of sensor nodes operating on finite battery power. Hence, in this paper, we provide an overview of our previous results, highlighting the efficacy of our 3D mobile autonomous redeployment strategies across various configurations. Subsequently, we delve into an in-depth analysis of the energy consumption associated with the different proposed contributions. Building upon these insights, we propose an energy harvesting approach aimed at extending the operational lifespan of mobile 3D WSNs, thus ensuring sustained functionality in diverse real-world *** these contributions, we address critical challenges and p

关键词： 3D distributed autonomous mobile wireless sensor networks Coverage and connectivity Virtual forces Energy consumption Energy harvesting RF power splitting

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Multi-Modal Vehicle Data Delivery via Commercial 5G Mobile Networks: An Initial Study 43

Multi-Modal Vehicle Data Delivery via Commercial 5G Mobile N...

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43rd ieee international conference on distributed computing systems (ICDCS)

作者： Carpenter, Jason Ye, Wei Qian, Feng Zhang, Zhi-Li Univ Minnesota Twin Cities Minneapolis MN 55455 USA

ISBN: (纸本)9798350328127

Support for connected and autonomous vehicles (CAVs) is a major use case of 5G networks. Due to their large from factors, CAVs can be equipped with multiple radio antennas, cameras, LiDAR and other sensors. In other words, they are "giant" mobile integrated communications and sensing devices. The data collected can not only facilitate edge-assisted autonomous driving, but also enable intelligent radio resource allocation by cellular networks. In this paper we conduct an initial study to assess the feasibility of delivering multi-modal sensory data collected by vehicles over emerging commercial 5G networks. We carried out an "in-the-wild" drive test and data collection campaign between Minneapolis and Chicago using a vehicle equipped with a 360 degrees camera, a LiDAR device, multiple smart phones and a professional 5G network measurement tool. Using the collected multi-modal data, we conduct trace-driven experiments in a local streaming testbed to analyze the requirements and performance of streaming multi-modal sensor data over existing 4G/5G networks. We reveal several notable findings and point out future research directions.

关键词： 5G Autonomous Vehicles Edge computing

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A Novel Two-Layer DAG-based Reactive Protocol for IoT Data Reliability in Metaverse 43

A Novel Two-Layer DAG-based Reactive Protocol for IoT Data R...

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43rd ieee international conference on distributed computing systems (ICDCS)

作者： Yang, Changlin Liu, Ying Chin, Kwan-Wu Wang, Jiguang Huang, Huawei Zheng, Zibin Sun Yat Sen Univ Sch Software Engn Zhuhai Peoples R China Univ Wollongong Wollongong NSW Australia Zhongyuan Univ Technol Sch Comp Sci Zhengzhou Peoples R China

ISBN: (纸本)9798350339864

Many applications, e.g., digital twins, rely on sensing data from Internet of Things (IoT) networks, which is used to infer event(s) and initiate actions to affect an environment. This gives rise to concerns relating to data integrity and provenance. One possible solution to address these concerns is to employ blockchain. However, blockchain has high resource requirements, thereby making it unsuitable for use on resource-constrained IoT devices. To this end, this paper proposes a novel approach, called two-layer directed acyclic graph (2LDAG), whereby IoT devices only store a digital fingerprint of data generated by their neighbors. Further, it proposes a novel proof-of-path (PoP) protocol that allows an operator or digital twin to verify data in an on-demand manner. The simulation results show 2LDAG has storage and communication cost that is respectively two and three orders of magnitude lower than traditional blockchain and also blockchains that use a DAG structure. Moreover, 2LDAG achieves consensus even when 49% of nodes are malicious.

关键词： Data Reliability Graph Hash Signaling distributed agreement

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Effective DDoS security scheme for mobile cloud computing systems 13

Effective DDoS security scheme for mobile cloud computing sy...

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13th IFIP/ieee international conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)

作者： Ishak, Chaima Ben Saied, Yosra ISSAT Mateur Higher Inst Appl Sci & Technol Mateur Mateur Tunisia Carthage Univ Carthage Tunisia

ISBN: (纸本)9798331515935;9783903176690

With the increasing use of mobile Cloud computing systems (MCC) in various domains, including offices, homes, hospitals, and transportation, distributed Denial of Service (DDoS) attacks have become more frequent and complex, posing new challenges and risks. Therefore, enhancing the three defense mechanisms (prevention, detection, and mitigation) is crucial. In this paper, we propose a machine-learning model that utilizes neural network techniques, such as an Evolutionary recurrent self-organizing map (ERSOM), in combination with a K-means classifier to detect botnet attacks and ensure the establishment of all defense mechanisms in mobile cloud computing system. Our performance results demonstrate the effectiveness of the proposed adaptive ERSOM model compared with the literature.

关键词： Mobile Cloud computing Neural network DDoS Detection Prevention Mitigation

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Coded Reactive Stragglers Mitigation in distributed computing systems

Coded Reactive Stragglers Mitigation in Distributed Computin...

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ieee international conference on Communications (ieee ICC)

作者： Ardakani, Maryam Haghighi Ardakani, Masoud Tellambura, Chintha Univ Alberta Dept Elect & Comp Engn Edmonton AB Canada

ISBN: (纸本)9781538674628

In distributed computing systems, to mitigate the adverse effect of stragglers on the computation time, computation redundancy is used. The redundancy can be added proactively at the beginning, or reactively after some time based on the delay pattern of the workers. While most of the existing work with reactive mitigation strategy only considered task replication, we propose a coded reactive straggler mitigation with an uncoded and a coded phase for distributed matrix-matrix multiplication. Specifically, in the uncoded phase of the proposed reactive strategy, the master distributes the computational job without redundancy among workers and waits for some time. After the waiting time, the master cancels the remaining tasks. It then encodes the remaining tasks and distributes them among the workers that have already completed their computations. The expected execution time of the proposed method is analytically obtained. Furthermore, the optimal waiting time for the uncoded phase and the optimal code rate for the coded phase are investigated. Our simulation results demonstrate that the proposed coded reactive mitigation strategy significantly decreases the execution time in comparison with the proactive mitigation strategy or repetition-based reactive mitigation strategy.

关键词： Coded distributed computing stragglers mitigation reactive stragglers mitigation MatDot coded matrix-matrix multiplication

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Multi-GPU Radix Sort Algorithm in High Performance computing Environment 27

Multi-GPU Radix Sort Algorithm in High Performance Computing...

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27th ieee/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD)

作者： Sun Hongdi Jia Minzheng Gao Zhu Beijing Polytech Coll Beijing Peoples R China Beijing Guang Yu Online Technol Co Ltd Beijing Peoples R China

ISBN: (数字)9798350391954

ISBN: (纸本)9798350391961;9798350391954

Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallel computing. Nevertheless, as the data scale grows, the single GPU sorting algorithm is gradually demonstrating its performance bottlenecks. In the paper, an efficient radix sort algorithm based on multi-GPU parallel computing is proposed, which implements a strategy of using different bucket classifications on multiple GPUs to improve the sorting performance and efficiency of large-scale datasets. With the multi-GPU parallel computing, more buckets may be used for data classification in one traversal, effectively reducing data sorting times, lowering time complexity, and improving sorting speed and throughput. The experiment shows that the algorithm has significantly improved the operational efficiency, demonstrating good application prospects. Meanwhile, the algorithm herein also presents good scalability, which can adapt to the constantly growing data scale in the future.

关键词： Radix Sort Multi-GPU Parallel computing Bucket Calculation Strategy

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Coded distributed computing with Wireless Shared Heterogeneous Workers 4

Coded Distributed Computing with Wireless Shared Heterogeneo...

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4th ieee international conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Lei, Yu Li, Mingming Zhao, Guangquan Peng, Xiyuan Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Norinco Group Air Ammunition Research Institute Co. LTD Test Technology Department Harbin China

ISBN: (纸本)9798350361643

distributed computing can parallelize large-scale computing tasks. However, due to the straggler effect, the performance of distributed systems may be diminished. Coded distributed computing mitigates the straggler effect by introducing redundant loads. In this research, we investigate a wireless network comprising multiple masters and heterogeneous workers, with each master allocated a distinct task. We divide computing tasks into two types: long-term computing tasks and short-term computing tasks. For long-term computing tasks, we propose the Static Worker Assignment algorithm (SWA), which balances the assignment of workers and minimizes the single iteration time of all tasks. Comparing SWA with two reference benchmarks reveals significant speed improvements of up to 54.03% and 51.14% over the respective benchmarks. For short-term tasks, we propose the Dynamic Worker Assignment algorithm (DWA), which reduces task reloading time without significantly increasing single iteration time. Compared to reloading by SWA, the DWA method may result in a 0.89% increase in single iteration time, while the task reloading delay decreases by 52.70%. © 2024 ieee.

关键词： distributed computer systems

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DALEOS: distributed scheduling for earth observation Data Analytics in LEO Satellites

DALEOS: Distributed scheduling for earth observation Data An...

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ieee international conference on Pervasive computing and Communications (PerCom)

作者： Biswas, Swagata Paul, Himadri Sekhar TCS Res Mumbai India

ISBN: (纸本)9798350304367;9798350304374

Orbital edge computing (OEC) is gaining interest in multiple application domains due to its potential to mitigate the limitations of traditional bent pipe architecture through in-orbit processing. In one study it was observed that on-board computing facility is idle for about 80% of its mission period. Although processing capability of a single satellite is constrained, but the collective computing power of a constellation is substantial and potentially be exploited for effective distributed in-orbit data processing. In this paper, we propose a distributed scheduling algorithm, DALEOS, for small satellite clusters targeted to meet real-time constraints of data analysis tasks. Our approach efficiently utilizes the constrained resources through workflow partitioning and task distribution. We validated our proposed algorithm for a set of randomly generated task workflow and also on a practical cloud detection use case, in simulation system using satellite tracks generated from datasets downloaded from Celestrak and PlanetLab. The results depict that through efficient utilization of the resources available, the overall latency in task execution can be significantly improved.

关键词： orbital edge computing distributed scheduling earth observation data analytics

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Research on the Construction of Information System Stability Guarantee Capability 22

Research on the Construction of Information System Stability...

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ieee 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Ma, Pengwei Wang, Chaolun China Acad Informat & Commun Technol Res Inst Beijing Peoples R China

ISBN: (纸本)9798350381993;9798350382006

The construction of information system stability assurance capabilities has a long history of development. However, with the gradually increasing load pressure of the information system, the distributed architecture has gradually become the mainstream architecture of information system. Furthermore, the stability guarantee of the information system has entered a new stage, which requires extensive optimization in both theoretical and practical aspects. This paper researches on the relevant background, basic principles, key elements, core competencies, and evaluation system of information system stability assurance capacity construction in the new stage. In addition, this paper explores the future development trend of stability assurance work

关键词： stability assurance distributed architecture information system stability guarantee system evaluation system

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