2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)最新文献_第8页

NFT Content Data Placement Strategy in P2P Storage Network for Permissioned Blockchain 许可区块链P2P存储网络中的NFT内容数据放置策略

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00017

Wenquan Li, Siqi Feng, Fuqi Jin, Lanju Kong, Qingzhong Li

{"title":"NFT Content Data Placement Strategy in P2P Storage Network for Permissioned Blockchain","authors":"Wenquan Li, Siqi Feng, Fuqi Jin, Lanju Kong, Qingzhong Li","doi":"10.1109/ICPADS53394.2021.00017","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00017","url":null,"abstract":"Non-Fungible Token (NFT) has garnered remarkable attention to decentralized digital asset management. Permissionless blockchains store NFT content data leveraging P2P storage networks, in which data resource flows subject to financial incentives. For permissioned blockchains, without incentives, the placement of content data to the storage network requires a sound strategy, including the placement process and the replica location strategy, to avoid problems such as communication cost excess and storage unfairness, which greatly limit the service efficiency and sustainability of the storage network. Therefore, in this paper, we propose a new collaboration model between blockchain and the P2P storage network for issuing a new NFT, in which blockchain can complete the placement process and promote rational data distribution in the P2P storage network. Our proposed replica location strategy mainly considers three factors: storage fairness, service efficiency, and business load. Through theoretical analysis and experiments, it is proved that our replica location strategy has a better performance in both fairness and efficiency.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Review-Based Hierarchical Attention Model Trained with Random Back-Transfer for Cross-Domain Recommendation 基于评论的分层注意模型与随机反向转移训练的跨领域推荐

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00090

Kuan Feng, Yanmin Zhu

{"title":"Review-Based Hierarchical Attention Model Trained with Random Back-Transfer for Cross-Domain Recommendation","authors":"Kuan Feng, Yanmin Zhu","doi":"10.1109/ICPADS53394.2021.00090","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00090","url":null,"abstract":"Cross-domain recommendation aims to leverage the rich interaction information in the source domain to predict interactions between cold-start users and items in the target domain. Since reviews contain users' preferences and items' attributes, many review-based cross-domain recommendation methods are proposed. However, existing methods cannot either 1) select important words and reviews from multiple reviews of users/items, or 2) learn a unified representation space for different domains without enough overlapping users. To address these problems, we propose a Hierarchical Attention model trained with Random Back-Transfer for cross-domain recommendation (HARBT). Specifically, the hierarchical attention extracts text information related to a given user or item which leads to an accurate interaction prediction. The random back-transfer works as a data augmentation algorithm to utilize data of users and items which are in the same domain for better matching of representations in different domains. Extensive experiments on real-world datasets show that our approach outperforms state-of-the-art methods significantly.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"16 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123213822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Onion: Dependency-Aware Reliable Communication Protocol for Magnetic MIMO WPT System 磁MIMO WPT系统的依赖感知可靠通信协议

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00063

Xiaolun Liang, Hao Zhou, Wangqiu Zhou, Xiang Cui, Zhi Liu, Xiang-Yang Li

{"title":"Onion: Dependency-Aware Reliable Communication Protocol for Magnetic MIMO WPT System","authors":"Xiaolun Liang, Hao Zhou, Wangqiu Zhou, Xiang Cui, Zhi Liu, Xiang-Yang Li","doi":"10.1109/ICPADS53394.2021.00063","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00063","url":null,"abstract":"Magnetic wireless power transfer (WPT) has received widespread attention from both academia and industry, and magnetic resonance coupling (MRC) based WPT systems have a longer charging distance to support the scenarios with multiple transmitters (TXs) and multiple receivers (RXs). In such systems, an in-band reliable TX-RX communication protocol is essential to guarantee to charge performance. In this paper, we devise Onion, a dependency-aware in-band communication protocol for MIMO MRC-WPT systems. Technically, we extend the well-known EPCglobal C1G2 protocol in Radio Frequency Identification (RFID) fielded and make it suitable for mutual inductance based communication links in MRC-WPT systems. Furthermore, we craft an innovative onion-style layer-dependency based communication mechanism to utilize the positive impact of the relay phenomenon. We design and implement the Onion prototype and conduct extensive experiments to evaluate it. The experiment results demonstrate the effectiveness of the proposed protocol, which increases the communication success ratio by an average of 40% as compared to the dependency-unaware scheme.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128617418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM 小型gem的输入感知自适应调优框架

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00118

Jianyu Yao, Boqian Shi, Chunyang Xiang, Haipeng Jia, Chendi Li, Hang Cao, Yunquan Zhang

{"title":"IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM","authors":"Jianyu Yao, Boqian Shi, Chunyang Xiang, Haipeng Jia, Chendi Li, Hang Cao, Yunquan Zhang","doi":"10.1109/ICPADS53394.2021.00118","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00118","url":null,"abstract":"GEMM with the small size of input matrices is becoming widely used in many fields like HPC and machine learning. Although many famous BLAS libraries already supported small GEMM, they cannot achieve near-optimal performance. This is because the costs of pack operations are high and frequent boundary processing cannot be neglected. This paper proposes an input-aware adaptive tuning framework(IAAT) for small GEMM to overcome the performance bottlenecks in state-of-the-art implementations. IAAT consists of two stages, the install-time stage and the run-time stage. In the run-time stage, IAAT tiles matrices into blocks to alleviate boundary processing. This stage utilizes an input-aware adaptive tile algorithm and plays the role of runtime tuning. In the install-time stage, IAAT auto-generates hundreds of kernels of different sizes to remove pack operations. Finally, IAAT finishes the computation of small GEMM by invoking different kernels, which corresponds to the size of blocks. The experimental results show that IAAT gains better performance than other BLAS libraries on ARMv8 platform.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128810887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Online Scheduling Unbiased Distributed Learning over Wireless Edge Networks 无线边缘网络的在线调度无偏分布式学习

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00080

Ziyi Han, Ruiting Zhou, Jinlong Pang, Yue Cao, Haisheng Tan

引用次数: 0

Smartphone-based Vehicle Tracking without GPS: Experience and Improvements 基于智能手机的无GPS车辆跟踪:经验和改进

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00032

Yao Tong, Shuli Zhu, Qinkun Zhong, Ruipeng Gao, Chi Li, Lei Liu

{"title":"Smartphone-based Vehicle Tracking without GPS: Experience and Improvements","authors":"Yao Tong, Shuli Zhu, Qinkun Zhong, Ruipeng Gao, Chi Li, Lei Liu","doi":"10.1109/ICPADS53394.2021.00032","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00032","url":null,"abstract":"Nowadays, GPS and other global positioning systems have been widely developed, enabling accurate and convenient outdoor location-based services for vehicles. However, there are still two percents of areas in urban city that cannot be covered by satellites, e.g., underground parking lots, tunnels, and multi-level flyovers. Current positioning methods always rely on inertial dead-reckoning methods, but the performance is seriously affected by the low-quality inertial sensors embedded in crowdsourced smartphones. Based on our series of experiments with thousands of smartphones, we observe that the accuracy of existing inertial dead-reckoning methods is terribly affected by many factors, e.g., arbitrary and unknown placements of smartphones in car, inconstant inertial noises, and the diversity of smartphones and vehicles. In this paper, we explore a novel smartphone-based inertial sequence learning approach to infer vehicle's location in real time. We also propose a customized model refinement mechanism for individual drivers. Extensive experiments on DiDi ride-hailing platform have proved the effectiveness of our solution.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122130351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Planning Paths for UAVs to Collect Data from Disconnected Sensor Networks 无人机从断开的传感器网络中采集数据的路径规划

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00057

Xia Li, Xiaojun Zhu, Chao Dong

引用次数: 2

Detection of Behavior Aging from Keystroke Dynamics 从击键动力学中检测行为老化

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00078

Yafang Yang, Bin Guo, Yunji Liang, Zhiwen Yu

引用次数: 0

BRNN-GAN: Generative Adversarial Networks with Bi-directional Recurrent Neural Networks for Multivariate Time Series Imputation 基于双向递归神经网络的多元时间序列插值生成对抗网络

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00033

Zejun Wu, Chao Ma, Xiaochuan Shi, Libing Wu, Dian Zhang, Yutian Tang, M. Stojmenovic

引用次数: 3

Multi-Region Indoor Localization Based on WVP System 基于WVP系统的多区域室内定位

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2021-12-01 DOI: 10.1109/ICPADS53394.2021.00102

Li Zhang, Yi Tian Xu, Jinhui Bao, Qiuyu Wang, Jingao Xu, Danyang Li, Yaodong Yang, Min Zhang

{"title":"Multi-Region Indoor Localization Based on WVP System","authors":"Li Zhang, Yi Tian Xu, Jinhui Bao, Qiuyu Wang, Jingao Xu, Danyang Li, Yaodong Yang, Min Zhang","doi":"10.1109/ICPADS53394.2021.00102","DOIUrl":"https://doi.org/10.1109/ICPADS53394.2021.00102","url":null,"abstract":"Indoor localization has attracted increasingly attention in the era of Internet of Things. Single indoor localization method based on WiFi fingerprint, surveillance camera or pedestrian dead reckoning suffers from low accuracy, limited tracking region or accumulative errors. Pioneering works over-come these limitations at the costs of ubiquity as they mostly resort to additional information or extra user constraints. In the large indoor region, it is important to quickly get pedestrian detection and tracking. In this paper, an indoor localization and tracking system has been presented which integrates WiFi fingerprint, Vision of surveillance camera and Pedestrian Dead Reckoning(WVP system for short). This WVP system achieves high accuracy in dynamic indoor environment. Importantly, WVP employs a motion sequence-based matching algorithm to confirm pedestrian identity. WVP outputs enhanced accuracy and overcomes the corresponding drawbacks of each subsystem simultaneously. Experimental results show that WVP can effectively track pedestrians in multi-region, and has great robustness, and the positioning accuracy is decimeter. It also performs well in complex environment.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"502 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130088226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0