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检索条件"任意字段=8th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012"

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Efficient and context-aware access control for pervasive medical sensor networks

Efficient and context-aware access control for pervasive med...

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2010 8th ieee international conference on Pervasive computing and Communications Workshops, PERCOM Workshops 2010

作者： Garcia-Morchon, Oscar Wehrle, Klaus Distributed Sensor Systems Philips Research Europe Eindhoven Netherlands Distributed Systems Group RWTH Aachen University Aachen Germany

ISBN: (纸本)9781424466054

Medical sensor networks allow for pervasive health monitoring in hospitals, at home, or on the way. Each user carries a set of wireless medical sensors that allows caregivers to monitor his health state. the privacy and confidentiality of medical data need to be guaranteed at any moment to make sure that third parties cannot access confidential information. Additionally, the system also has to be aware of contextchanges, such as emergencies, to ensure fast access to the medical data, and thus, the safety of the users. In this context, this paper presents a modular context-aware access control model to allow for context-awareness and pro-active decision making during acute, emergency, and normal medical situations. We analyze its structure, features, and operation in detail and further describe how our system can be applied to existing security architectures for medical sensor networks. © 2010 ieee.

关键词： Decision making

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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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RBCP: A Reputation-based Blockchain Consensus Protocol for Internet of things 24

RBCP: A Reputation-based Blockchain Consensus Protocol for I...

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作者： Shang, Jiaze Lu, Tianbo Cai, Yingjie Luo, Shuang Jin, Zhaoxin School of Computer Science National Pilot Software Enginerring School Beijing University of Posts and Telecommunications Beijing China Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China

ISBN: (纸本)9798350319934

the application of blockchain in the Internet of things (IoT) solves the problem of centralization, enables data interaction of IoT nodes in untrusted environments. However, most of the blockchain consensus protocols are computationally expensive and poorly scalable, which cannot meet the current demand for low power consumption and low latency of IoT devices. Meanwhile, IoT nodes suffer from many malicious attacks. An effective reputation evaluation scheme is valuable for establishing a trusted, secure IoT environment with certain applications. In this paper, we propose RBCP, a novel reputation-based blockchain consensus protocol, and apply it to the IoT. the protocol divides IoT nodes into multiple regions, and consensus nodes in each region are selected based on real-time updated reputation values, which are used to participate in light PoW consensus and finally propose blocks. then, we model the deposits and profits of the nodes as Stackelberg game and analyze the relationship between them. To evaluate our proposed protocol, we compare it with existing consensus protocols through several experiments. Our experimental results show that RBCP has advantages in terms of TPS, consensus time, and communication consumption, proving that it has low latency and less consensus time under the premise of sufficient security. © 2022 ieee.

关键词： Internet of things

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In-network outlier detection in wireless sensor networks

In-network outlier detection in wireless sensor networks

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26th ieee Internationa26th ieee international conference on distributed computing systems, ICDCS 2006

作者： Branch, Joel Szymanski, Boleslaw Giannella, Chris Wolff, Ran Kargupta, Hillol Computer Science Rensselaer Polytechnic Institute 110 8th Street Troy NY 12180 Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle Baltimore MD 21250

ISBN: (纸本)0769525407

To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) works in-network with a communication load proportional to the outcome, and (3) reveals its outcome to all sensors. We examine the algorithm's performance using simulation with real sensor data streams. Our results demonstrate that the algorithm is accurate and imposes a reasonable communication load and level of power consumption. © 2006 ieee.

关键词： Intrusion detection

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RTA: an Efficient SIMD Architecture for Ray Tracing 24

RTA: an Efficient SIMD Architecture for Ray Tracing

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作者： Yan, Run Huang, Libo Guo, Hui Lu, Yashuai Yang, Ling Xiao, Nong Shen, Li Wang, Yongwen School of Computer National University of Defense Technology Changsha China Huawei 2012 Labs Beijing China

ISBN: (纸本)9798350319934

In recent years, real-time ray tracing has attracted considerable attention with the increasing demand for photo-realistic graphics and rapid advances in CPUs/GPUs. However, efficient hardware architecture is challenging due to branches and high computation intensity for ray tracing. In this paper, we present a novel ray tracing hardware architecture called RTA (Ray Tracing Accelerator) to improve hardware efficiency. RTA has two key features: 1) an area-efficient T&I pipeline adopts three optimization strategies;2) the configuration of two Ray Traversal units has the highest ray tracing efficiency. Combined with these, we implement our system at RTL level with agile chip development. Experimental results demonstrate that RTA's performance achieves 2.83× higher than other academic and commercial architectures in a similar area. © 2022 ieee.

关键词： Ray tracing

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Cross-layer caching based optimization for wireless multimedia sensor networks

Cross-layer caching based optimization for wireless multimed...

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2012 ieee 8th international conference on Wireless and Mobile computing, Networking and Communications, WiMob 2012

作者： Tiglao, Nestor Michael C. Grilo, António M. INESC-ID/INOV/IST Rua Alves Redol No 9 1000-029 Lisboa Portugal EEEI University of the Philippines Diliman Quezon City 1101 Philippines

ISBN: (纸本)9781467314305

Traditional transport layer protocols have been designed to perform end-to-end error control transparently to the intermediate nodes (e.g., TCP). However, the resource constraints featured by Wireless sensor Network (WSN) require a different paradigm where intermediate nodes are able to cache packets and if possible retransmit them on-demand to avoid incurring costly end-to-end retransmissions. Lately, wireless multimedia sensor network (WMSN) is being considered as a new research area wherebyWSNs are targeted for the delivery of multimedia traffic. In this paper, we propose a NACK-based repair mechanism coupled with an adaptive MAC layer retransmission scheme in order to improve the performance of the transport protocols. Specifically, our goal is to be able to reduce real-time end-to-end delay while maintaining reliability and energy efficiency in the presence of high channel error rates. Our simulation results show that the ensemble of both mechanisms provides better good-put performance while simultaneously improving energy efficiency. Furthermore, the improved protocol also achieves lower deadline miss ratios which makes it suitable for multimedia transport. While we demonstrate the effectiveness of the mechanisms by incorporating them into the basic distributed Transport for sensor Networks (DTSN) protocol, they are generic enough to be applicable to other WSN transport protocols. © 2012 ieee.

关键词： Energy efficiency

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P*: A Model of Pilot-Abstractions

P*: A Model of Pilot-Abstractions

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ieee 8th international conference on E-Science (e-Science)

作者： Luckow, Andre Santcroos, Mark Merzky, Andre Weidner, Ole Mantha, Pradeep Jha, Shantenu Rutgers State Univ Piscataway NJ 08854 USA

ISBN: (纸本)9781467344661;9781467344678

Pilot-Jobs support effective distributed resource utilization, and are arguably one of the most widely-used distributed computing abstractions - as measured by the number and types of applications that use them, as well as the number of production distributed cyberinfrastructures that support them. In spite of broad uptake, there does not exist a well-defined, unifying conceptual model of Pilot-Jobs which can be used to define, compare and contrast different implementations. Often Pilot-Job implementations are strongly coupled to the distributed cyberinfrastructure they were originally designed for. these factors present a barrier to extensibility and interoperability. this paper is an attempt to (i) provide a minimal but complete model (P*) of Pilot-Jobs, (ii) establish the generality of the P* Model by mapping various existing and well known Pilot-Job frameworks such as Condor and DIANE to P*, (iii) derive an interoperable and extensible API for the P* Model (Pilot-API), (iv) validate the implementation of the Pilot-API by concurrently using multiple distinct Pilot-Job frameworks on distinct production distributed cyberinfrastructures, and (v) apply the P* Model to Pilot-Data.

关键词： distributed computer systems

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Hybrid Parameter Update: Alleviating Imbalance Impacts for distributed Deep Learning 24

Hybrid Parameter Update: Alleviating Imbalance Impacts for D...

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作者： Li, Hongliang Xu, Dong Xu, Zhewen Li, Xiang College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Changchun China

ISBN: (纸本)9798350319934

Nowadays, data parallelism has been widely applied to train large datasets on distributed deep learning clusters, but it has suffered from costly global parameter updates at batch barriers. Performance imbalance among worker instances, introduced by uneven workload partitioning or biased resource allocation, can cause straggly workers, which can lead to severe impacts on both training speed and result accuracy. this paper studies the issue focusing on the tradeoff between training speed and result accuracy. We propose Cooperate Grouping Parallel (CGP), a hybrid parameter update solution that allows the flexibility of both synchronous and asynchronous update schemes. We introduce a novel Cooperate Worker Grouping Problem (CWGP) that seeks a task grouping configuration that leads to maximum model accuracy and holds customized training speed guarantees. We propose an evolution-based Pareto local searching algorithm to compute efficient worker grouping configurations. Comprehensive evaluation results are presented to demonstrate the effectiveness of CGP under both persistent and fluctuant imbalances. the proposed method alleviates the imbalance impacts without introducing extra adjustment over-heads. © 2022 ieee.

关键词： Large dataset

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A Layer-Based Sparsification Method For distributed DNN Training 24

A Layer-Based Sparsification Method For Distributed DNN Trai...

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作者： Hu, Yanqing Ye, Qing Zhang, Zhongyu Lv, Jiancheng Sichuan University Chengdu China

ISBN: (纸本)9798350319934

With the increasing size of Deep Neural Networks (DNNs) and datasets, DNN training will consume a lot of time. Various distributed strategies have been utilized to speed up the training process. Nevertheless, the frequent communication between different computational nodes dramatically limits the scale of the cluster. Currently, many gradient compression methods (e.g., Sparsification, Quantization, Low-Rank) have been proposed to optimize the transmission process. Since each layer needs to be processed and compressed respectively before transmission, a rash of time-consuming tensor operations is demanded. To alleviate this issue, we propose a layer-based sparsification method, which stems from the observation that the learning efficiency and convergence speed of different layers of DNN is different during the training process. Instead of compressing all gradients in an iteration, some layers are preferentially selected using a well-designed sliding window, which largely avoids unnecessary tensor operations. the sliding window is adjusted according to the dynamic characteristics of the parameter during the DNN training. Extensive experiments on one Text task and two Image Classification tasks are conducted to validate the efficiency of the proposed method in the same environment configuration, where the gradient compression adopts the layer-based sparsification and the other three comparative state-of-the-art methods. the total training time, communication time, and model accuracy are collected and analyzed. Sufficient experimental results demonstrate that both training and communication time can be greatly reduced, which is especially up to 60% in some cases. Additionally, despite slightly decreased within 1% model quality, the results indicate that the improvement in throughput can be as high as 50%. © 2022 ieee.

关键词： Deep neural networks

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Function placement of data fusion for active networks paradigm in wireless sensor networks

Function placement of data fusion for active networks paradi...

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8th ieee international conference on Mobile Ad-hoc and sensor systems, MASS 2011

作者： Lu, Zongqing Tan, Su-Lim Biswas, Jit School of Computer Engineering Nanyang Technological University Singapore Singapore Institute for Infocomm. Research Agency for Science Technology and Research Singapore Singapore

ISBN: (纸本)9780769544694

Active Networks paradigm integrated with distributed data fusion has the potential to significantly reduce energy dissipation in WSNs, where energy conservation is the most challenging issue. this work aims to minimize energy cost when distributed data fusion is deployed for Active Networks computing paradigm. An approximate solution with much less computational complexity than optimal solution is proposed for large networks called P2lace, which includes two phases, task graph partition and task graph placement. An extensive experimental evaluation compares approximate solution with optimal solution. the results show that our approximate solution is scalable to different task graph characteristics and network size and only causes little more transmission cost than optimal solution. © 2011 ieee.

关键词： Wireless sensor networks

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