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Collaborative Fuzzy Clustering Approach for Scientific Cloud Workflows 科学云工作流的协同模糊聚类方法
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218274
Hamdi Kchaou, Wissem Abbes, Zied Kechaou, A. Alimi
{"title":"Collaborative Fuzzy Clustering Approach for Scientific Cloud Workflows","authors":"Hamdi Kchaou, Wissem Abbes, Zied Kechaou, A. Alimi","doi":"10.1109/ISCC58397.2023.10218274","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218274","url":null,"abstract":"Cloud computing has allowed the sharing of applications with a lot of data, like scientific workflows. Using scientific workflows to process big data is expensive regarding data transfer, execution time, and bandwidth costs. A data placement method based on fuzzy sets is used to cut these costs. It helps optimize data placement and reduce the costs of processing big data. This paper presents a new method for scientific cloud workflow data placement involving fuzzy sets to realize collaborative clustering. The proposed method explores each data center's datasets through data dependencies, clusters them by the clustering algorithm Fuzzy C-Means (FCM), and re-clusters them based on the data collaboration. Our suggested method of using fuzzy sets to realize collaborative clustering can help cope with uncertainties in data and thus reduce the overall data placement amounts, with better results than previous approaches.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122617493","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
Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence 神经英特尔:使用人工智能的注意缺陷多动障碍(ADHD)临床诊断系统
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218313
Sotirios Batsakis, E. Papadakis, Ilias Tachmazidis, Tianhua Chen, G. Antoniou, M. Adamou
{"title":"Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence","authors":"Sotirios Batsakis, E. Papadakis, Ilias Tachmazidis, Tianhua Chen, G. Antoniou, M. Adamou","doi":"10.1109/ISCC58397.2023.10218313","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218313","url":null,"abstract":"Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482697","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 Novel Approach of ESN Reservoir Structure Learning for Improved Predictive Performance 一种改进预测性能的ESN油藏结构学习新方法
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218132
Samar Bouazizi, Emna Benmohamed, Hela Ltifi
{"title":"A Novel Approach of ESN Reservoir Structure Learning for Improved Predictive Performance","authors":"Samar Bouazizi, Emna Benmohamed, Hela Ltifi","doi":"10.1109/ISCC58397.2023.10218132","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218132","url":null,"abstract":"This paper presents a novel method to enhance the predictive performance of the Echo State Network (ESN) model by adopting reservoir topology learning. ESNs are a type of Recurrent Neural Network (RNN) that have demonstrated considerable potential in various applications, but they can be challenging to train and optimize due to their random initialization. To improve the learning capabilities of ESNs and enhance their effectiveness in a broad range of predictive tasks, we utilize a structure learning algorithm. The proposed approach modifies the ESN reservoir's connectivity by applying techniques such as reversing, deleting, and adding new connections. We evaluate our proposal performance using both synthetic and real datasets, and our results indicate that it can substantially improve predictive accuracy compared to traditional ESNs.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602618","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 GRASP-Based Algorithm for Virtual Network Embedding 一种基于grasp的虚拟网络嵌入算法
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218024
Amine Rguez, Y. H. Aoul, Farah Slim, Gerardo Rubino, Asma Selmi
{"title":"A GRASP-Based Algorithm for Virtual Network Embedding","authors":"Amine Rguez, Y. H. Aoul, Farah Slim, Gerardo Rubino, Asma Selmi","doi":"10.1109/ISCC58397.2023.10218024","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218024","url":null,"abstract":"With the rise of network virtualization, network slicing is becoming a hot research topic. Indeed, network operators must deal with capacity-limited resources while insuring an extreme availability of services. Several approaches exist in the literature to tackle such a problem, some of them converge quickly to a local minimum, while others are not explainable and therefore do not provide the necessary guarantees for their deployment in a real network. In this context, we propose a new approach for Virtual Network Embedding (VNE) based on the Greedy Adaptive Search Procedure (GRASP). Using the GRASP meta-heuristic ensures the robustness of the solution to changing constraints and environments. Moreover, the proposed realistic approach allows a more efficient and directed exploration of the solution space, in opposition to existing techniques. The simulation results show the potential of the proposed method for solving services' placement problems and its superiority over existing approaches.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109211","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
Efficient Privacy-Preserving Multi-Functional Data Aggregation Scheme for Multi-Tier IoT System 面向多层物联网系统的高效隐私保护多功能数据聚合方案
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218234
Yunting Tao, Fanyu Kong, Yuliang Shi, Jia Yu, Hanlin Zhang, Huiyi Liu
{"title":"Efficient Privacy-Preserving Multi-Functional Data Aggregation Scheme for Multi-Tier IoT System","authors":"Yunting Tao, Fanyu Kong, Yuliang Shi, Jia Yu, Hanlin Zhang, Huiyi Liu","doi":"10.1109/ISCC58397.2023.10218234","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218234","url":null,"abstract":"The proliferation of Internet of Things (IoT) devices has led to the generation of massive amounts of data that require efficient aggregation for analysis and decision-making. However, multi-tier IoT systems, which involve multiple layers of devices and gateways, face more complex security challenges in data aggregation compared to ordinary IoT systems. In this paper, we propose an efficient privacy-preserving multi-functional data aggregation scheme for multi-tier IoT architecture. The scheme supports privacy-preserving calculation of mean, variance, and anomaly proportion. The scheme uses the Paillier cryptosystem and the BLS algorithm for encryption and signature, and uses blinding techniques to keep the size of the IoT system secret. In order to make the Paillier algorithm more suitable for the IoT scenario, we also improve its efficiency of encryption and decryption. The performance evaluation shows that the scheme improves encryption efficiency by 43.7% and decryption efficiency by 45% compared to the existing scheme.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121506207","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
(POSTER) Advanced LTCC-Integrated Technologies for mmWave 5G/Satellite Communication Antennas (海报)用于毫米波5G/卫星通信天线的先进ltcc集成技术
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10217848
A. Kouki
{"title":"(POSTER) Advanced LTCC-Integrated Technologies for mmWave 5G/Satellite Communication Antennas","authors":"A. Kouki","doi":"10.1109/ISCC58397.2023.10217848","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10217848","url":null,"abstract":"Ultra low-loss materials, wave guiding structures and circuit fabrication technologies are critical for high performance mmWave antenna arrays destined for 5G and satellite communications. This poster presents recent advances on all three fronts through the use of: (i) ceramic materials and high conductivity silver metallization, (ii) substrate-embedded guiding structures such as rectangular and the ridge waveguides and (iii) a Low Temperature Corifed Ceramics multilayer fabrication process. The combination of these technologies is leveraged to design and fabricate array antennas with low-loss beamforming networks and very high-Q ceramic resonator radiating elements. Simulation and measurement results covering the 27–31 GHz frequency band are presented to illustrate the achievable performance.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"41 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000410","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 Stackelberg Game for Multi-Tenant RAN Slicing in 5G Networks 5G网络中多租户RAN切片的Stackelberg博弈
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218208
Zeina Awada, K. Khawam, S. Lahoud, M. Helou
{"title":"A Stackelberg Game for Multi-Tenant RAN Slicing in 5G Networks","authors":"Zeina Awada, K. Khawam, S. Lahoud, M. Helou","doi":"10.1109/ISCC58397.2023.10218208","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218208","url":null,"abstract":"This paper addresses the multi-tenant radio access network slicing in 5G networks. The infrastructure provider (InP) slices the physical radio resources so as to meet differentiated service requirements, and the mobile virtual network operators (MVNOs) then dynamically request and lease isolated resources (from the slices) to their services. In this context, we propose a two-level single-leader multi-follower Stackelberg game to jointly solve the resource allocation and pricing problem. The InP prices its radio resources taking into account MVNO allocations, which in turn depend on the resource cost. Simulation results show that, in comparison with the Static Slicing approach, our solution achieves an efficient trade-off between MVNO satisfaction and InP revenue, while accounting for 5G service diversity and requirements.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128054790","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
Demo: a LoRaWAN Emulator Testbed 演示:一个LoRaWAN仿真器测试平台
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218138
Inabat Akanova, Dnislam Urazayev, Yerassyl Kadirzhanov, Dimitrios Zorbas
{"title":"Demo: a LoRaWAN Emulator Testbed","authors":"Inabat Akanova, Dnislam Urazayev, Yerassyl Kadirzhanov, Dimitrios Zorbas","doi":"10.1109/ISCC58397.2023.10218138","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218138","url":null,"abstract":"The LoRa technology is becoming a matter of great interest in the research field of the Internet of Things (IoT). Due to the versatility of its technical characteristics, the range of its functionality may be calibrated. However, while many existing LoRa testbed schemes attempt to embrace the low-cost, low-power characteristics of the radio technology, many fail to recognize the need for scalability and easiness for the purposes of IoT research developments. In this demo paper, an open-source LoRaWAN emulator testbed is introduced and its main components and functionalities are briefly explained.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128057680","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
S-PFC: Enabling Semi-Lossless RDMA Network with Selective Response to PFC S-PFC:对PFC有选择性响应的半无损RDMA网络
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218190
Jiang Shao, Xinyi Li, Minglin Li, Sen Liu, Yang Xu
{"title":"S-PFC: Enabling Semi-Lossless RDMA Network with Selective Response to PFC","authors":"Jiang Shao, Xinyi Li, Minglin Li, Sen Liu, Yang Xu","doi":"10.1109/ISCC58397.2023.10218190","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218190","url":null,"abstract":"RoCEv2 (RDMA over Converged Ethernet version 2) is typically used in a PFC-enabled lossless network for high performance, but PFC can cause side effects, such as head-of-line (HoL) blocking and congestion spreading. Optimizing packet loss recovery mechanisms in lossy networks can enhance RDMA network performance, but packet loss can increase FCT of short flows and waste network resources. This paper proposes a novel concept of semi-lossless networks to exploit the advantages of lossless and lossy networks, and reduce their negative effects. Our proposed solution, Selective PFC (S-PFC), implements semi-lossless networks in two dimensions. First, S-PFC ensures no packet loss for short flows while timely dropping long flows. Second, S-PFC guarantees no packet loss at the network edge to prevent premature packet loss and unnecessary resource waste. Typical data center network scenarios and large-scale simulations show that S-PFC can accommodate different traffic demands effectively.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132052720","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
GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks GoGDDoS:基于图神经网络的DDoS攻击多分类器
2023 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2023-07-09 DOI: 10.1109/ISCC58397.2023.10218316
Yuzhen Li, Zhou-yu Zhou, Renjie Li, Fengyuan Shi, Jiang Guo, Qingyun Liu
{"title":"GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks","authors":"Yuzhen Li, Zhou-yu Zhou, Renjie Li, Fengyuan Shi, Jiang Guo, Qingyun Liu","doi":"10.1109/ISCC58397.2023.10218316","DOIUrl":"https://doi.org/10.1109/ISCC58397.2023.10218316","url":null,"abstract":"Distributed Denial of Service (DDoS) attacks are rising, evolving and growing sophistication. Multi-vector which leverages more than one methods is prevalent recently. To cope with multi-vector DDoS attack, it is necessary to classify DDoS attacks for taking robust measures. However, existing ML-based approaches for DDoS traffic multi-classification barely leverage relationships between packets and flows, which are crucial information that can significantly improve multi-classification performance. This paper proposes GoGDDoS, a multi-classifier for DDoS attacks. Concretely, we construct GoG traffic graph to clearly compress relationships between packets and flows. It merges relationship graphs of packets and flows by using graph of graph. Then, we build a two-level Graph Neural Network model to mine potential attack patterns from GoG traffic graph. The experiments with well-known datasets show that GoGDDoS performs better than its counterparts.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134349636","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
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