2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)最新文献_第6页

Privacy Regulations-Aware Storage Service Selection in Multi-Cloud 基于隐私规则的多云存储服务选择

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00053

Rishabh Kumar, Pankaj Sahu, S. Roy, Sutapa Mondal, M. Gharote, S. Lodha

引用次数: 0

RISC-V Core for Ethical Intelligent IoT Edge: Analysis & Design Choice 伦理智能物联网边缘的RISC-V核心:分析与设计选择

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00031

P. Haribabu, G. Sasirekha, M. Rao, Jyotsna L. Bapat, D. Das

{"title":"RISC-V Core for Ethical Intelligent IoT Edge: Analysis & Design Choice","authors":"P. Haribabu, G. Sasirekha, M. Rao, Jyotsna L. Bapat, D. Das","doi":"10.1109/CCGridW59191.2023.00031","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00031","url":null,"abstract":"With the wide deployment of Internet of Things (IoT) solutions, along with the increased demand for incorporating intelligence at the edge, the development of high-performance System-on-Chips (SoC), specifically for edge devices, has gained momentum. Currently, most of the processors used for the development of IoT edge device are ARM architecture based, where license fees are involved. An open-source RISC-V based SoC for IoT edge is the requirement of the day that will accelerate IoT development and widespread deployment. This open-source RISC-V based device needs to be secure and protected from privacy breaches. The first and most crucial step towards developing such a secure and privacy enhanced ethical SoC for the edge, is the choice of RISC-V core. In this paper, the analysis performed for the design choice of the RISC V processor core has been detailed. After surveying the literature, three cores have been shortlisted and synthesized using FPGA device of Virtex® UltraScale+ family from Xilinx. The inferences from the synthesis results and its impact on the architecture of the proposed IoT edge SoC have been presented. The challenges in the design of an ethical edge-IoT SoC have been described. The approach for implementation and evaluation has been discussed.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127279884","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

Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations 基于深度学习的海量网格空间观测数据快速有效可视化方法

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00070

Paahuni Khandelwal, M. Warushavithana, S. Pallickara, S. Pallickara

引用次数: 0

Toward Next-Generation Distributed Rate-limiters 迈向下一代分布式速率限制器

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00083

Iram Nawab, Sameer G. Kulkarni

引用次数: 0

A Study on Secure Network Slicing in 5G 5G安全网络切片技术研究

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00023

P. Singh, Maharaj Brahma, Panchanan Nath, Uttam Ghosh

引用次数: 0

Information-Theoretically Secure Multi-Party Linear Regression and Logistic Regression 信息理论安全的多方线性回归与逻辑回归

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00042

Hengcheng Zhou

引用次数: 0

API Traffic Anomaly Detection in Microservice Architecture 微服务架构中的API流量异常检测

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00044

M. Sowmya, Ankith Rai, V. Spoorthi, Md Irfan, Prasad B. Honnavalli, S. Nagasundari

{"title":"API Traffic Anomaly Detection in Microservice Architecture","authors":"M. Sowmya, Ankith Rai, V. Spoorthi, Md Irfan, Prasad B. Honnavalli, S. Nagasundari","doi":"10.1109/CCGridW59191.2023.00044","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00044","url":null,"abstract":"In the current Digital Age, data is an important asset that is constantly targeted in cyberattacks. Attackers make use of vulnerabilities in the application design to perform data theft. Therefore, there is a need to implement an intrusion detection mechanism that is specific to the application architecture. The Microservices Architecture is predominantly used by organizations to develop their software applications. This application design architecture is a group of individual services that interact through Application Programming Interfaces (APIs). As the number of API endpoints increases, there is an increase in the attack surface for hackers to exploit the application. The activity at these endpoints and API calls can be monitored to check for anomalies, which indicates abnormal behaviour. An API call refers to a request made to an API endpoint. Multiple API calls among the services generate API traffic in the application. This traffic can be analyzed for detecting unusual behaviour. In this paper, a machine-learning based technique, API Traffic Anomaly Detection (API-TAD), that detects anomalies in API traffic at two levels – a generalized level, and an application-specific level is proposed. This makes it a more efficient and accurate anomaly detection, not only in the network layer of the OSI model, but also in the application layer.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115674760","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

A flexible dataflow CNN accelerator on FPGA 基于FPGA的灵活数据流CNN加速器

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00065

Haoran Li, Lei Gong, Chao Wang, Xuehai Zhou

引用次数: 0

Gateway-Based Certification Approach to Include IoT Nodes in a Trusted Edge/Cloud Environment 基于网关的认证方法将物联网节点包含在可信边缘/云环境中

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00048

Valeria Lukaj, Francesco Martella, M. Fazio, A. Galletta, A. Celesti, M. Villari

引用次数: 0

3D CNN Acceleration using Block Circulant Matrix in Frequency Domain 基于频域分块循环矩阵的三维CNN加速

2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00059

R. Han, Huarong Xu, Peng Jiang, Xiongwei Jiang, Jiaming Qian

{"title":"3D CNN Acceleration using Block Circulant Matrix in Frequency Domain","authors":"R. Han, Huarong Xu, Peng Jiang, Xiongwei Jiang, Jiaming Qian","doi":"10.1109/CCGridW59191.2023.00059","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00059","url":null,"abstract":"Recently, 3D CNNs have proven to be outstanding in applications such as video analysis, 3D geometric data, and 3D medical image diagnosis. However, the forbidden storage and computational overhead of 3D CNNs hinder their deployment on edge devices. To tackle this challenge, we propose 3D FCirCNN, an algorithm-hardware co-design approach to realize efficient 3D CNNs acceleration. At the algorithm level, 3D FCirCNN applies block circulant matrix to compress 3D CNNs for the first time and further accelerates the computation with Fast Fourier Transform (FFT), significantly reducing the storage and computational overhead of 3D CNNs. Besides, to avoid the extra computation overhead caused by frequent spatial/frequency domain switching, we introduce several 3D CNN operators in the frequency domain, thus realizing the full frequency domain computation. At the hardware level, we design an FPGA-based dedicated hardware architecture to accelerate 3D FCirCNN. Experiments on the Xilinx ZCU102 demonstrate that with only an acceptable accuracy loss, 3D FCirCNN can achieve a performance of 2692.81 GOPS with a 3.349 GOPS/DSPs efficiency, which outperforms prior works significantly.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129678678","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