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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems DCoSS"

共 3169 条记录，以下是241-250 订阅

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Wireless Crowd Charging Applications: Taxonomy and Research Directions 16

Wireless Crowd Charging Applications: Taxonomy and Research ...

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16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Raptis, Theofanis P. CNR Inst Informat & Telemat Pisa Italy

ISBN: (纸本)9781728143514

Wireless power transfer technologies lead the way towards new paradigms for pervasive networking and have already penetrated the mobile and portable user device research and market. Their use is not only limited to charging devices like smartphones wirelessly by using a central wireless charger, but it is also extended to peer-to-peer (P2P) wireless crowd charging, when a user device shares energy directly with another user device. This paper surveys the literature over the period 2014-2020 on both P2P and central wireless crowd charging from the point of view of algorithmic applications as it applies to ubiquitously networked user devices and identifies some open research challenges for the future.

关键词： Wireless power transmission ubiquitous computing peer-to-peer computing distributed algorithms

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Message from the Chairs of the Joint Workshop on Emerging Topics in sensor systems

Proceedings - 18th Annual International Conference on Distri...

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Proceedings - 18th Annual international conference on distributed computing in sensor systems, dcoss 2022 2022年 XXI页

作者： Tsiropoulou, Eirini Eleni Papavassiliou, Symeon Duncan, Dominique Alba, Celina Malandra, Filippo Angelopoulos, Constantinos Marios University of New Mexico United States National Technical University of Athens Greece University of Southern California United States University at Buffalo United States Bournemouth University United Kingdom

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EPIC-RoofNet: A sensor Network Testbed for Solar Irradiance Measurement and Analysis 16

EPIC-RoofNet: A Sensor Network Testbed for Solar Irradiance ...

引用

16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Pal, Amitangshu Temple Univ Comp & Informat Sci Philadelphia PA 19122 USA UNC Charlotte Charlotte NC USA

ISBN: (纸本)9781728143514

This paper describes the development of an experimental wireless sensor network (WSN) testbed for studying the nature of irradiance measurements at the sensor nodes that are deployed at different points in the WSN, and oriented differently depending on the deployment geometry. The network was developed on the roof of an academic building at the University of North Carolina at Charlotte (UNC Charlotte), where the sensor nodes are equipped with pyranometer sensors to periodically collect the irradiance measurements at different points and send then to a centralized base station using multi-hop communication. The collected data is analyzed to demonstrate the spatial and temporal variation of energy availability at each individual node, resulting from the localized variations in the light levels.

关键词： Wireless sensor networks solar harvesting irradiance sensing data collection analysis

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AreaHash: A Balanced and fully scalable consistency hashing algorithm 24

AreaHash: A Balanced and fully scalable consistency hashing ...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Zeng, Yan Zhang, Jinbo Xue, Meiting Wan, Jian Zhang, Jilin Zhou, Li School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China School of Cyberspace Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9798350319934

distributed systems use consistent hashing algorithms to solve load balancing problems because of their good balance, minimal interruptions, and high query rates. However, existing algorithms fail to maintain consistency under changes, require high memory for high query rates, or have poor scaling. Therefore, we propose consistent AreaHash, which virtualizes the hash space into a ring. The logically ordered ring nodes occupy the same area, allowing the AreaHash to expand the nodes without any change. The key calculated using the hashing algorithm can be mapped to a node by a simple shift calculation, reducing memory requirements. We make a reasonable theoretical analysis and perform high-level algorithm implementation with a memory footprint of only a few bytes per node. Experimental results indicate that AreaHash achieves a lookup rate of more than 40 million keys per second, even when the number of nodes on a single CPU exceeds one million. In addition, a lookup rate of more than 20 million keys per second is achieved when more than half of the nodes in the cluster are down. © 2022 ieee.

关键词： Consistent hashing distributed systems fully scalable load balancing resource efficient

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Weak Network Oriented Mobile distributed Storage: A Hybrid Fault-Tolerance Scheme Based on Potential Replicas 24

Weak Network Oriented Mobile Distributed Storage: A Hybrid F...

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作者： Wei, Xinlei Tan, Yujuan Liu, Duo Wu, Daitao Wu, Yu Chen, Xianzhang Li, Jian College of Computer Science Chongqing University Chongqing China School of Big Data and Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

ISBN: (纸本)9798350319934

Node failure is one of the most typical issues in distributed storage systems. The classic fault-tolerance methods can meet the fault tolerance needs of systems deployed in edge storage, 5G IoT, and other high-performance data centers. However, mobile distributed systems contend with inconsistent network signals and relatively low bandwidth in weak network environments. The traditional fault-tolerance schemes have difficulty ensuring distributed storage and data repair simultaneously, posing a considerable challenge to data storage reliability. To address this problem, we proposed a hybrid fault-tolerance scheme based on potential replicas, called HFPR, which trades off storage overhead and performance for weak network mobile distributed storage systems. HFPR first stores data with the erasure code redundancy and then gradually increases data redundancy by reserving potential replicas, enabling the system to disperse network transmission pressure and reduce network transmission. To maximize replica utilization and control the storage overhead of potential replicas, we design a node state prediction mechanism and a file lifecycle management mechanism. Evaluation results show that, compared with the traditional hybrid fault-tolerant scheme with the same storage overhead, HFPR achieves better replica-level repair efficiency in data repair and a reduced probability of degraded reads by approximately 50%. During data distribution, HFPR can minimize data write amplification by up to 1.1× and additional network transfers by up to 77.5%. © 2022 ieee.

关键词： Fault tolerance

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BOBBLE: A Mixed Routing-Granularity distributed Load Balancing for Data Center Networks 23

BOBBLE: A Mixed Routing-Granularity Distributed Load Balanci...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Xu, Zhengzhi Lu, Yifei Ma, Xu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665494571

In current Datacenter Networks (DCNs), Equal-Cost Multipath (ECMP) is a default load balancing scheme. However, using ECMP may result in rapid growth of Flow Completion Time (FCT) due to its well-known drawbacks. In order to solve the problem of ECMP, load balancing schemes with per-packet granularity (such as RPS) and per-flowlet granularity (such as LetFlow) are proposed. These two different granularities have their own features, but there's no existing load balancing considering both their advantages. In this paper, we mix per-flowlet and per-packet in scheduling decisions and introduce the potential performance bottleneck in mixed granularities load balancing. Based on this idea, we propose a hybrid scheme for load balancing, referred to as BOBBLE. The key idea of BOBBLE is to distinguish elephant and mouse flows and schedule them with different granularity. We evaluate BOBBLE in simulations with NS-3. Experiment shows that BOBBLE slightly sacrifices elephant flows FCT but it is worthy because our results demonstrate that BOBBLE is a good trade-off which outperforms RPS and LetFlow in mouse flows FCT in both symmetric and asymmetric topology. © 2021 ieee.

关键词： Data centers Network topology Smart cities Load management Routing Mice Computer networks

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3DS: An Efficient DPDK-based Data Distribution Service for distributed Real-time Applications 24

3DS: An Efficient DPDK-based Data Distribution Service for D...

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作者： Xu, Tianyu Chen, Xianzhang Wu, Changze Wang, Jiapin Zheng, Rongwei Liu, Duo Tan, Yujuan Ren, Ao Li, Jian College of Computer Science Chongqing University Chongqing China School of Big Data and Software Engineering Chongqing University Chongqing China School of Electrical Engineering Chongqing University Chongqing China

ISBN: (纸本)9798350319934

Data Distribution Service (DDS) is a widely-used middleware for data transmission in distributed real-time applications, such as autonomous vehicles and robotics. However, the communication of existing DDS middlewares generally relies on the network stacks of the operating system, which brings long latency to the real-time applications. In this paper, we propose a DPDK-based DDS, dubbed 3DS, to improve the performance of communication of DDS middlewares. First, 3DS reduces the latency of communication between distributed real-time applications by avoiding the latency of kernel. Second, 3DS reduces the overhead of dynamic memory allocation and deallocation by a reserved memory pool. Finally, 3DS adopts a thread-exclusive CPU model to reduce the resource contention between threads. We implement and evaluate 3DS on real systems running Linux. The experimental results show that 3DS reduces 44% of the communication latency over FastDDS, which is the state-of-the-art DDS middleware used by ROS2. Moreover, the throughput of data transfer in 3DS can be 1.51 times that of FastDDS. © 2022 ieee.

关键词： Data transfer

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A Real-time Demand Response Strategy of Home Energy Management by Using distributed Deep Reinforcement Learning 23

A Real-time Demand Response Strategy of Home Energy Manageme...

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作者： Liu, Weirong Wang, Yujie Jiang, Fu Cheng, Yijun Rong, Jieqi Wang, Chenglong Peng, Jun School of Computer Science and Engineering Central South University Changsha China School of Automation Central South University Changsha China

ISBN: (纸本)9781665494571

Home energy management system (HEMS) autonomously schedules the energy usage of home electricity consuming devices to reduce the electricity cost based on real-time electricity price. However, it is very challenging to design an optimal energy management strategy under the uncertainty of the resident's behavior, outdoor temperature and renewable generation. To solve this problem, a real-time demand response (DR) strategy based on deep reinforcement learning (DRL) is proposed. Firstly, the real-time DR management problem is modeled as a Markov game, and then a home energy management algorithm is proposed based on Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MATD3). It is worth mentioning that the proposed algorithm builds the thermal dynamics model and takes energy storage system (ESS) into account, which improves the utilization of renewable power generation effectively. The simulation result based on real-world data demonstrates the effectiveness of the proposed algorithm. © 2021 ieee.

关键词： Renewable energy sources Schedules Costs Uncertainty Heuristic algorithms Simulation Reinforcement learning

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ZombieCoin3.0: On the Looming of a Novel Botnet Fortified by distributed Ledger Technology and Internet of Things 23

ZombieCoin3.0: On the Looming of a Novel Botnet Fortified by...

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作者： Gao, Haoyu Li, Leixiao Lin, Hao Chang, Xiangyang Wan, Jianxiong Li, Jie Zhu, Fangyuan College of Data Science and Application Inner Mongolia University of Technology China Inner Mongolia Autonomous Reg. Eng. and Technol. Research Center of Big Data Based Software Service China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665494571

P2P Botnet is famous for the resilience against termination. However, its dependence on Neighbor List (NL) makes it susceptible to infiltration and poison, also leading to a dearth of adequate protection of Botmaster's identity. So as to overcome these weaknesses, the novel botnet infrastructure combined with blockchain emerges. But due to some flaws such like high latency and expensive transactions fees on blockchain, these new schemes can't satisfy the need of constructing hyper large-scale botnet in practice. We propose ZombieCoin3.0, a Botnet underlying overlay leveraging IoT devices to be maintainers and integrated with distributed Ledger Technology (DLT), which is able to deploy bots fully on blockchain. And it is versatile for file transfer, data feedback and other command and control scenarios that many contemporaries are impotent to cope with. Our proposal eliminates the P2P botnets' dependence on NL and the bottlenecks that other blockchain combined botnets have. Experiments' results authenticated that the effectiveness of our proposal as well as low latency of communication and nearly zero overhead of cost other comparatives unable to attain are achieved. © 2021 ieee.

关键词： Costs distributed ledger Botnet Blockchains Proposals Internet of Things Low latency communication

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Effective Severity Assessment of Parkinson's Disease using Wearable sensors in Free-living IoT Environment 29

Effective Severity Assessment of Parkinson's Disease using W...

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29th ieee international conference on Parallel and distributed systems, ICPADS 2023

作者： Li, Ziheng Zhao, Yuting Qi, Jun Wang, Xulong Yang, Yun Yang, Po National Pilot School of Software Yunnan University Kunming China Xi'an JiaoTong-Liverpool University Department of Computing Suzhou China University of Sheffield Department of Computer Science Sheffield United Kingdom

ISBN: (纸本)9798350330717

Internet of Things (IoT) Wearable technology plays a crucial role in assisting the diagnosis of Parkinson's disease (PD), and an efficient model for auxiliary diagnosis of the severity of PD can help reduce the workload for doctors. However, due to the influence of data collection environments and annotators, noisy label data is inevitable, which may have a negative impact on modeling the severity of PD. To address the above challenges, on the one hand, we collected a large number of activity signal data of Parkinson's patients in free-living environments, and on the other hand, we proposed an efficient PD stage assessment framework, which includes a noisy label processing method to alleviate the noisy label negative impact. Specifically, we collected signal data from 15 healthy controls and 68 PD patients through 12 activities, and then we proposed a framework for noisy label detection and correction. The experimental results on real PD data sets demonstrated that the proposed framework achieve 75.9% accuracy in PD stage assessment and significantly improve the classification performance of different types of basic classifiers, which is better than other noisy label detection algorithms and other PD stage assessment frameworks. Overall, in this work, we focus on modeling PD severity in free-living environments using a single wearable sensor and reducing the negative impact of noisy label data to better help PD patients manage the disease. © 2023 ieee.

关键词： Noisy Label detection Parkinson's disease Disease stage diagnosis model Wearable sensor

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