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

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Satin Bowerbird Optimization-Based Classification Model for Heart Disease Prediction Using Deep Learning in E-Healthcare 基于缎面园丁鸟优化的分类模型在电子医疗保健中使用深度学习进行心脏病预测
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00063
K. K. Gola, Shikha Arya
{"title":"Satin Bowerbird Optimization-Based Classification Model for Heart Disease Prediction Using Deep Learning in E-Healthcare","authors":"K. K. Gola, Shikha Arya","doi":"10.1109/CCGridW59191.2023.00063","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00063","url":null,"abstract":"currently, the medical field is most concerned about cardiovascular disease (CVD), which is a chronic and highly fatal condition that accounts for the highest number of global deaths. The number of cases of heart attacks has been steadily increasing across various age groups, except those below 28 years, as reported by the National Crime Records Bureau (NCRB). Wearable sensor devices have become prevalent in the current healthcare scenario. They have enabled real-time monitoring of health records, thus aiding in the early identification of the risk of heart disease. The accurate diagnosis and prediction of cardiovascular disease are vital in providing appropriate treatment to patients by cardiologists. This study aims to develop a model that can accurately predict cardiovascular diseases and thereby reduce the fatality rates associated with them. The Satin Bowerbird optimization algorithm selects the most significant feature, and an enhanced deep-learning model is employed for classification. Here the performance of the proposed work is compared with other methods such as SVM, Decision Tree, Logistic Regression, Random Forest, and Evolutionary Deep Learning. Its effectiveness is evaluated using accuracy, precision, recall, and Fl-score metrics in PYTHON. The results show that the proposed model achieved 90% accuracy, 94% precision, 91.3% recall, and an F1 score of 92.6%.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"6 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":"129413104","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
AI-Powered Interfaces for Extended Reality to Support Remote Maintenance 人工智能接口扩展现实支持远程维护
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00045
Á. Nagy, George Amponis, Konstantinos Kyranou, T. Lagkas, Alexandros-Apostolos A. Boulogeorgos, P. Sarigiannidis, V. Argyriou
{"title":"AI-Powered Interfaces for Extended Reality to Support Remote Maintenance","authors":"Á. Nagy, George Amponis, Konstantinos Kyranou, T. Lagkas, Alexandros-Apostolos A. Boulogeorgos, P. Sarigiannidis, V. Argyriou","doi":"10.1109/CCGridW59191.2023.00045","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00045","url":null,"abstract":"High-end components that conduct complicated tasks automatically are a part of modern industrial systems. However, in order for these parts to function at the desired level, they need to be maintained by qualified experts. Solutions based on Augmented Reality (AR) have been established with the goal of raising production rates and quality while lowering maintenance costs. With the introduction of two unique interaction interfaces based on wearable targets and human face orientation, we are proposing hands-free advanced interactive solutions in this study with the goal of reducing the bias towards certain users. Using traditional devices in real time, a comparison investigation using alternative interaction interfaces is conducted. The suggested solutions are supported by various AI powered methods such as novel gravity-map based motion adjustment that is made possible by predictive deep models that reduce the bias of traditional hand- or finger-based interaction interfaces.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"34 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":"128896964","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
Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling 通过功能调度优化无服务器架构下的内存分配
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00056
Manish Pandey, Young-Woo Kwon
{"title":"Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling","authors":"Manish Pandey, Young-Woo Kwon","doi":"10.1109/CCGridW59191.2023.00056","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00056","url":null,"abstract":"In a serverless architecture, a function does not fully utilize the allocated memory. Such memory over-allocation increases node utilization and wastes resources, causing cold-start and latency issues. This paper presents a fine-grained scheduling approach for a serverless architecture that aims to address the issue of over-memory allocation and improve data locality. The proposed approach estimates how much memory each function uses so that similar functions can be scheduled on the same node. As a result, it makes less use of each node and keeps the state within a single node. We evaluated our approach through the existing FaaS applications and real-world data.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"22 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":"121461237","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
DASMEC Committee Members DASMEC委员会成员
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/ccgridw59191.2023.00012
{"title":"DASMEC Committee Members","authors":"","doi":"10.1109/ccgridw59191.2023.00012","DOIUrl":"https://doi.org/10.1109/ccgridw59191.2023.00012","url":null,"abstract":"","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"4 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":"115349417","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
Privacy-preserving Job Scheduler for GPU Sharing 保护隐私的GPU共享作业调度器
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00077
Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, K. Chakrabarty
{"title":"Privacy-preserving Job Scheduler for GPU Sharing","authors":"Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, K. Chakrabarty","doi":"10.1109/CCGridW59191.2023.00077","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00077","url":null,"abstract":"Machine learning (ML) training jobs are resource intensive. High infrastructure costs of computing clusters encourage multi-tenancy in GPU resources. This invites a scheduling problem in assigning multiple ML training jobs on a single GPU while minimizing task interference. Our paper introduces a clustering-based privacy-preserving job scheduler that minimizes task interference without accessing sensitive user data. We perform ML workload characterization, made available publicly [1], and do exploratory data analysis to cluster ML workloads. Consequently, we build a knowledge base of inter and intra-cluster task interference to minimize task interference.","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":"131067778","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
Malware Detection using API Calls Visualisations and Convolutional Neural Networks 使用API调用可视化和卷积神经网络的恶意软件检测
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00037
Jaime Pizarro Barona, Joseph Avila Alvarez, Carlos Jiménez Farfán, Joangie Márquez Aguilar, Rafael I. Bonilla
{"title":"Malware Detection using API Calls Visualisations and Convolutional Neural Networks","authors":"Jaime Pizarro Barona, Joseph Avila Alvarez, Carlos Jiménez Farfán, Joangie Márquez Aguilar, Rafael I. Bonilla","doi":"10.1109/CCGridW59191.2023.00037","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00037","url":null,"abstract":"This research explores and analyzes different API Calls sequence transformation methods into images to train deep learning models and determine which combination of these methods and models performs better. We generated images from API Calls sequences using Simhash and FreqSeq. The results were compared by training two well-known Convolutional Network architectures (ResNet50v2 and MobileNetv2). This work presents our experience running these experiments highlighting the results obtained and the challenges we faced.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"9 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":"116914821","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
Megadata Committee Members 大数据委员会成员
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/ccgridw59191.2023.00010
{"title":"Megadata Committee Members","authors":"","doi":"10.1109/ccgridw59191.2023.00010","DOIUrl":"https://doi.org/10.1109/ccgridw59191.2023.00010","url":null,"abstract":"","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"3 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":"116076403","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
Hierarchical Clustering Architecture for Metaverse Applications 面向元宇宙应用的分层集群架构
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00055
Kumar M Santhosh, M. Prabhakar, Goutam Sanyal
{"title":"Hierarchical Clustering Architecture for Metaverse Applications","authors":"Kumar M Santhosh, M. Prabhakar, Goutam Sanyal","doi":"10.1109/CCGridW59191.2023.00055","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00055","url":null,"abstract":"Metaverse systems are virtual spaces that integrate 3D models, conversations, and data visualization for user interactions and collaboration. While these systems have primarily been used in the gaming industry, their application in other industries, such as industrial and business, has faced multiple challenges. One of the main challenges is the lack of responsiveness due to the size and interaction complexities of 3D models, particularly when supporting a massive number of simultaneous users. This research proposes a scalable hierarchical cluster-based architecture that simplifies the metaverse business application platform and maintenance, provides flexibility for multiple functionalities, and addresses the challenges faced by current metaverse platforms in supporting massive simultaneous users.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"70 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":"115509887","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
CLEF Committee Members CLEF委员会成员
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/ccgridw59191.2023.00011
{"title":"CLEF Committee Members","authors":"","doi":"10.1109/ccgridw59191.2023.00011","DOIUrl":"https://doi.org/10.1109/ccgridw59191.2023.00011","url":null,"abstract":"","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"4 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":"130306896","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
Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud 利用边缘和云技术打造个性化无人机队移动应用平台
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) Pub Date : 2023-05-01 DOI: 10.1109/CCGridW59191.2023.00075
Suman Raj, Yogesh L. Simmhan
{"title":"Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud","authors":"Suman Raj, Yogesh L. Simmhan","doi":"10.1109/CCGridW59191.2023.00075","DOIUrl":"https://doi.org/10.1109/CCGridW59191.2023.00075","url":null,"abstract":"Advances in edge computing, accelerators, computer vision, and artificial intelligence have led to the widespread application of autonomous vehicles such as drones. Besides logistics and urban safety, drones can also be used for social good. In this paper, we present the outline for a lightweight mobile app platform that can be used by the visually impaired for navigational assistance. The platform uses an intelligent middleware scheduler to perform DNN inferencing either on the onboard edge device or offloads it to a FaaS running on the cloud, while maximizing utility and the tasks processed. We validate our platform for multiple workloads, supporting up to 4 drones per edge device, with 7 edges running concurrently and using AWS Lambda as the remote cloud. We also test our platform using Jetson Nano and Tello drones as hardware validation.","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":"128542539","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
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