2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)最新文献_第4页

Deep Learning Based Joint Collision Detection and Spreading Factor Allocation in LoRaWAN 基于深度学习的LoRaWAN联合碰撞检测与扩展因子分配

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00043

Seham Ibrahem Abd Elkarim, M. M. Elsherbini, O. Mohammed, W. U. Khan, Omer Waqar, B. M. Elhalawany

引用次数: 3

Message from the General Chair ICDCSW 2022 ICDCSW 2022年大会主席致辞

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/icdcsw56584.2022.00005

引用次数: 0

Privacy-preserving Blockchain-based Global Data Sharing for Federated Learning with Non-IID Data 基于区块链的非iid数据联邦学习全局数据共享保护隐私

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00044

Zhuotao Lian, Qingkui Zeng, Chunhua Su

引用次数: 0

A Distributed Energy Trading Framework with secure and effective Consensus Protocol 基于安全有效共识协议的分布式能源交易框架

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00010

Jincai Ye, Jiahua Liang, Xiaohuan Li, Qianzhong Chen

{"title":"A Distributed Energy Trading Framework with secure and effective Consensus Protocol","authors":"Jincai Ye, Jiahua Liang, Xiaohuan Li, Qianzhong Chen","doi":"10.1109/ICDCSW56584.2022.00010","DOIUrl":"https://doi.org/10.1109/ICDCSW56584.2022.00010","url":null,"abstract":"With the rapid increase of DER(distributed energy resources), it has become a global trend to establish a distributed energy trading markets to coordinate these DERs. However, the construction of distributed energy trading market faces various challenges, in which trusted transaction among market participants is crisis. Since the existing solutions need numerical calculation and communication resource that lead to large delay, this paper proposes a distributed energy trading framework with secure and effective consensus protocol. Different from the traditional PBFT(Practical Byzantine Fault Tolerance) that is the notable debasement on interaction flow between processes, a threshold signature mechanism is introduced and the consensus process of trading is reconstructed. Theoretical analysis shows that the communication complexity of the proposed framework is optimized from $O(n^{2})$ to $O(n)$, and the computation complexity of the participants is also reduced from $O(n)$ to $O(1)$. Our simulation results also show that the task delay of our consensus protocol begins to be lower than PBFT when the number of participants exceeds a certain threshold. In particular, the trusted transaction delay using our consensus protocol is reduced by 12.14% when the number of participants increases to 100.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131399882","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

Decentralizing Watchtowers for Payment Channels using IPFS 使用IPFS分散支付渠道的瞭望塔

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00015

Hannes Bönisch, Matthias Grundmann

{"title":"Decentralizing Watchtowers for Payment Channels using IPFS","authors":"Hannes Bönisch, Matthias Grundmann","doi":"10.1109/ICDCSW56584.2022.00015","DOIUrl":"https://doi.org/10.1109/ICDCSW56584.2022.00015","url":null,"abstract":"Payment channels have been proposed as a way to improve the scalability of blockchains such as Bitcoin. However, payment channel protocols require that participating parties watch the blockchain regularly for new transactions. If a party observes, in a given period of time, a fraudulent transaction that closes the payment channel in an outdated state, the fraudulent transaction can be revoked. Previous work has proposed to outsource this task to a third party, a so called watchtower. A user of a payment channel employs a dedicated watchtower and sends the data to the watchtower that the watchtower requires to revoke fraudulent transactions. In this paper, we replace the strict binding of a user to a watchtower by a decentralized approach for watchtowers that requires no direct interaction between a party of a payment channel and the watchtower. This decentralized approach uses IPFS to publicly store the information required by a watchtower. With this approach, anyone can detect and revoke a fraud by watching the blockchain and reading a file from IPFS that contains information for each outdated commitment transaction. A reward for successful revocations can be used as incentive.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134400937","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

Downscaling and Overflow-aware Model Compression for Efficient Vision Processors 高效视觉处理器的降尺度和溢出感知模型压缩

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00036

Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan

{"title":"Downscaling and Overflow-aware Model Compression for Efficient Vision Processors","authors":"Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan","doi":"10.1109/ICDCSW56584.2022.00036","DOIUrl":"https://doi.org/10.1109/ICDCSW56584.2022.00036","url":null,"abstract":"Network pruning and quantization are two effective ways for model compression. However, existing model compression methods seldom take hardware into consideration, resulting in compressed models that still take high energy and chip area cost on a vision processor. To address this issue, one may reduce the bit-widths of the accumulator and the multiplier in fixed-point inference to significantly reduce the energy and chip area. However, the numerical error brought from the low-bit multiplier in the downscaling procedure is large, while the low-bit accumulator suffers from the overflow issue. Both of them lead to significant performance degradation. In this paper, we propose downscaling and overflow-aware model compression for efficient vision processors. Specifically, we propose downscaling-aware training to simulate the downscaling procedure during training so that the models are adjusted to inference with low bit-width multipliers. To address the overflow issue, we apply overflow-aware training to gradually reduce the range of quantized values. We further restrict the channel's number of each layer to be the multiple of some value (e.g., 16) to take advantage of parallel computing by channel pruning. With the proposed method, we are able to obtain the compressed model with low bit-width accumulators and multipliers during inference while maintaining the performance. As a result, the energy and chip area cost can be significantly reduced. To demonstrate this, we further co-design an agilely customizable vision processor and its SoC. Extensive experiments on image classification, object detection, and semantic segmentation demonstrate the effectiveness of our proposed method. For example, on ImageNet, our compressed 8-bit ResNet-50 achieves lossless performance with 16-bit accumulators and 12-bit multipliers.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132097487","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

Distributed Rendering for Video Games via Object Streaming 基于对象流的电子游戏分布式渲染

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00047

Giacomo Parolini, D. Maggiorini, Davide Gadia, L. Ripamonti

{"title":"Distributed Rendering for Video Games via Object Streaming","authors":"Giacomo Parolini, D. Maggiorini, Davide Gadia, L. Ripamonti","doi":"10.1109/ICDCSW56584.2022.00047","DOIUrl":"https://doi.org/10.1109/ICDCSW56584.2022.00047","url":null,"abstract":"Propelled by the growing availability of broadband connection in recent years, the gaming industry is now devoting a considerable amount of resources and investments in online and cloud gaming. In legacy online gaming, the gaming experience is usually provided with the support of remote servers, and online players rely on their local PCs or consoles, which hold a local copy of all the content (assets) and must follow some minimum requirements in hardware and software specifications. Whereas, on cloud gaming, intensive computational tasks are almost completely offloaded to dedicated servers: video frames are rendered on the remote machine, encoded and sent to the players as a video stream. This approach soften the need for updated and powerful devices, but it suffers from all the limitations and problems inherent to multimedia real-time streaming. In this paper we explore an hybrid approach between a (video) streaming-based cloud gaming and the traditional approach where all assets are local to the player. We propose a solution where the rendering pipeline is split between server and client. In this distributed architecture, the server manages most of the game scene description, runs the game simulation, performs the first segment of the graphics pipeline's application stage, and finally sends a stream of pre-processed graphical objects to the client, which performs the final rendering steps. The proposed approach reduces the computational burden on the server, which is not required to perform rendering, improving scalability when compared with cloud gaming solutions based on video streaming.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117150057","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

Proceedings 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops ICDCSW 2022 IEEE第42届分布式计算系统国际会议论文集ICDCSW 2022

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/icdcsw56584.2022.00002

引用次数: 0

Decentralized Technology in Practice: Social and technical resilience in IPFS 实践中的去中心化技术:IPFS中的社会和技术弹性

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00021

K. Nabben

{"title":"Decentralized Technology in Practice: Social and technical resilience in IPFS","authors":"K. Nabben","doi":"10.1109/ICDCSW56584.2022.00021","DOIUrl":"https://doi.org/10.1109/ICDCSW56584.2022.00021","url":null,"abstract":"The “Interplanetary File System” (IPFS) refers to a peer-to-peer content addressing protocol that is designed to be “upgradeable, resilient, and more open”. [1] In conjunction with “Filecoin”, a blockchain-based data storage marketplace, the aim of this technology is to offer people digital infrastructure that decentralized from central, corporate control, to store and manage their data. This paper investigates socio-technical resilience as adaptability and transformability under threat for participants in IPFS in practice as a peer-to-peer digital infrastructure. I find that developer conceptions of “resilience” in this system relate to adaptability of the network against isolation or split. Yet, resilience for those using IPFS relates to data integrity, in line with the preferences and local context of the provider of that data. I employ qualitative research methods to investigate why and how people use the network, and in what ways it meets the needs of their contexts and purposes, or in some cases, falls short. I find that while significant emphasis is placed on the technical resilience of this infrastructure, these tools remain logically fractured at the social coordination layer that guides processes of data ownership, governance, and storage, and this limits the resilience of the network to serve people's needs in their local context. I then propose examples of institutional infrastructural frameworks that could provide participatory data governance patterns to help people collectively organize their use of decentralized digital infrastructure for greater resilience in IPFS and Filecoin. Finally, I outline further research directions to improve resilience in decentralized data storage infrastructure.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799294","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

Planning Computation Offloading on Shared Edge Infrastructure for Multiple Drones 多无人机共享边缘基础设施的规划计算卸载

2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) Pub Date : 2022-07-01 DOI: 10.1109/ICDCSW56584.2022.00063

Giorgos Polychronis, S. Lalis

引用次数: 1