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A Survey of Dynamic Replication Strategies in Cloud Computing Systems 云计算系统中的动态复制策略综述
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628963
Imad Eddine Miloudi, Belabbas Yagoubi, Fatima Zohra Bellounar
{"title":"A Survey of Dynamic Replication Strategies in Cloud Computing Systems","authors":"Imad Eddine Miloudi, Belabbas Yagoubi, Fatima Zohra Bellounar","doi":"10.1109/icnas53565.2021.9628963","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628963","url":null,"abstract":"Cloud Computing is another type of paradigm in IT, which makes things easier in terms of storage, computing power, development ready platforms, etc. Cloud computing is an implementation system to provide the right quality of service parameters. Replication is a technique applied in various cloud systems, which increases the performance of a system by improving its availability and therefore minimizes the response time to services. In this paper, some existing replication strategies are surveyed and inspected for various parameters such as availability, consumption of storage space, response time, etc. This study aims to verify whether these techniques meet the expectations of a replication strategy. We also propose a comparative study of the different approaches presented in this article. According to this study, we can conclude that there is no universal strategy of data replication in the cloud computing. It is an area where too many approaches can be experienced.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924026","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
Detection of precancerous laryngeal leukoplakia using sub-band based cepstral 基于背侧亚带的喉癌前白斑检测
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628992
Elmoundher Hadjaidji, M. C. A. Korba, K. Khelil
{"title":"Detection of precancerous laryngeal leukoplakia using sub-band based cepstral","authors":"Elmoundher Hadjaidji, M. C. A. Korba, K. Khelil","doi":"10.1109/icnas53565.2021.9628992","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628992","url":null,"abstract":"Precancerous diseases such as leukoplakia, keratosis, Papillomavirus, Erythrolplakia, and other diseases can turn into a cancerous condition represented by cancer of the larynx. However, early detection of these lesions may allow to avoid the occurrence of cancer and provide a possibility for doctors to carry out effective interventions. In this work, a non-invasive automated technique for detecting laryngeal leukoplakia is examined. For reliable detection, we have used perceptual wavelet packet transform (PWPT) to extract the relevant information from the speech signal. In this study, the performance of four Supervised Machine Learning classifiers (SVM, KNN, DT, and NB) is evaluated according to three indicators: accuracy, sensitivity, and specificity. The results obtained in this study are very encouraging. For the classification of female voices, the best performances of the system were obtained with both KNN and SVM classifiers. As for male voices, SVM and DT techniques outperform the rest of the techniques. This study demonstrates that premalignant lesions can be reliably detected, which can aid in the detection of laryngeal cancer at an earlier stage.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126741935","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
A Study of Lagrangian Relaxation and Dantzig-Wolfe Decompositions for the Generalized Assignment Problem 广义分配问题的拉格朗日松弛和dantzigg - wolfe分解研究
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628940
E. Gattal, Ala-Eddine Benrazek
{"title":"A Study of Lagrangian Relaxation and Dantzig-Wolfe Decompositions for the Generalized Assignment Problem","authors":"E. Gattal, Ala-Eddine Benrazek","doi":"10.1109/icnas53565.2021.9628940","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628940","url":null,"abstract":"This article presents a comparative study of two mathematical methods for data reduction, namely Lagrangian Relaxation (LR) and Dantzig-Wolfe Decompositions (DWD) in Integer Linear Programming (ILP). The analysis is performed on the classical Generalized Assignment Problem (GAP). To this end, we have used the general-purpose MIP solver. However, the experimentation is done on a widely used GAP benchmark of large and complex instances. The two methods have been evaluated from the standpoint of solution quality and the time required to find it.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292385","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
Improving Road Traffic Prediction By using Dependencies Study: Cross-Correlation based Approach 基于相关性研究的道路交通预测改进方法
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628952
Redouane Benabdallah Benarmas, Kadda Beghdad Bey
{"title":"Improving Road Traffic Prediction By using Dependencies Study: Cross-Correlation based Approach","authors":"Redouane Benabdallah Benarmas, Kadda Beghdad Bey","doi":"10.1109/icnas53565.2021.9628952","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628952","url":null,"abstract":"Traffic control and management on a urban road network become more complex face to exponential growth in the volume of cars and road segments. To meet the growing demand of accurate traffic prediction, the study of relationship between road segments is necessary before prediction calculation. Correlation theory has been well developed to provide a better interpretation of dependency for understanding how Time series are related in multivariate model(MV). Pearson Coefficients based Cross-Correlation calculation is proposed to detect dependency between traffic segments in large scale road network modeled by MVTS, at this stage, dependency extraction allows to limit the use of only data collected from points related to a target point to be predicted, For our study we use a 6th road ring as most crowded area of Beijing. An interpretation of results are provided as Scatter-plot.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085933","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
Recommendation of learning resources in social learning environment using data mining 基于数据挖掘的社会学习环境下的学习资源推荐
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628979
Sara Gasmi, T. Bouhadada, Laib Kamilya
{"title":"Recommendation of learning resources in social learning environment using data mining","authors":"Sara Gasmi, T. Bouhadada, Laib Kamilya","doi":"10.1109/icnas53565.2021.9628979","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628979","url":null,"abstract":"with the growing number of learners in the social learning environments and social networks, and with the ever-growing volume of online content, learners are overwhelmed by the amount of available content. Recommender systems have been an effective strategy to deal with this challenge. In social learning environments, recommendation systems are used much more to locate the most suitable resources for learners, finding the right resources can help learners in their learning process. The proposed approach is based on the similarity calculation between a learner and his/her friends of the same frequent subnetwork by using Learner model. To approve this approach we developed a system that personalized to the requirements of learners.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127966924","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
Dual Load Balancing Strategy for Virtual Network Embedding in SDN-Enabled Distributed Cloud 支持sdn的分布式云中虚拟网络嵌入的双负载均衡策略
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628897
Abderrahim Bouchair, Belabbas Yagoubi, Sid Ahmed Makhlouf
{"title":"Dual Load Balancing Strategy for Virtual Network Embedding in SDN-Enabled Distributed Cloud","authors":"Abderrahim Bouchair, Belabbas Yagoubi, Sid Ahmed Makhlouf","doi":"10.1109/icnas53565.2021.9628897","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628897","url":null,"abstract":"Virtual Network Embedding (VNE) has been acknowledged as an essential task in a functional cloud environment. Derived from the Network Virtualization (NV) concept, the VNE process involves assigning virtual resources from a given Virtual Network (VN) into the fittest physical resources from a substrate network. The integration of software-defined networking (SDN) technologies in the cloud are becoming a driven practise due to its centralized design that allows advanced resource management via several cloud policies. In this paper, we propose a systematic VNE policy based on a two-staged Load Balancing (LB) plan. Our approach covers firstly the Virtual Network Requests (VNRs) assignment onto multiple Data Center Networks (DCNs). Then, the servers in each DCN are classified in which they host the most compatible virtual resources. The effectiveness of our approach is finally validated by a set of numerical experiments.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114236645","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
An optimized time synchronization protocol for WSANs 优化的无线局域网时间同步协议
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628916
Nadhir Boukhechem, N. Badache
{"title":"An optimized time synchronization protocol for WSANs","authors":"Nadhir Boukhechem, N. Badache","doi":"10.1109/icnas53565.2021.9628916","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628916","url":null,"abstract":"Today, wireless sensor and actuator networks (WSANs) are used in diverse applications, including environmental monitoring, precision agriculture, and intrusion detection. The sensors and actuators in WSANs are equipped with quartz clocks. These are synchronized with a reference clock using time synchronization protocols. Indeed, Synchronizing the clocks is essential for coordinating the sensors and actuators’ operations. In this paper, we propose a new time synchronization protocol for WSANs. This latter combines the advantage of two approved protocols, namely SANSync and FCSA, which considerably improve time synchronization accuracy. Additionally, the proposed protocol can use multiple reference clocks simultaneously to synchronize the clocks. This makes it more robust and efficient. Simulation results show that the proposed protocol exceeds the performance of FCSA and SANSync in all the simulated networks, especially when the network diameter is large.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116913844","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
How to have a structured database for lung cancer segmentation using deep learning technologies 如何利用深度学习技术建立肺癌分类的结构化数据库
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628946
Mammeri Selma, A. Mohamed, Haouam Mohamed Yassine, Bendib Issam
{"title":"How to have a structured database for lung cancer segmentation using deep learning technologies","authors":"Mammeri Selma, A. Mohamed, Haouam Mohamed Yassine, Bendib Issam","doi":"10.1109/icnas53565.2021.9628946","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628946","url":null,"abstract":"CAD systems have achieved a good results in detection and diagnosis of different diseases such as lung cancer, breast cancer, liver cancer, brain cancer.. This success is due to the use of new technologies of artificial intelligence, which are machine learning and deep learning, these new technologies depend strongly with the use of large and structured databases. In lung cancer field, most of databases have a manual annotation but they are not structured in the form of images and masks, while this structure is necessary in the training of deep learning models especially in the task of pulmonary nodule segmentation. We present in this paper the necessary steps to have a structured database, then we apply classical segmentation techniques in order to compare the resulting masks with those of our database.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741710","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
Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria 维护4.0概述和相关方法，以及阿尔及利亚的初步案例研究
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628931
N. Aissani, Ibtissem Mechrour, Assia Filali
{"title":"Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria","authors":"N. Aissani, Ibtissem Mechrour, Assia Filali","doi":"10.1109/icnas53565.2021.9628931","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628931","url":null,"abstract":"In literature, in different industrial fields Maintenance 4.0 standards have been studied by many researchers to improve system reliability, availability, safety and maintenance cost control. In Maintenance 4.0 and predictive maintenance, researchers target the development of accurate models to assess the health state of components for particular applications supporting decision making. Prior accurate knowledge to implement Maintenance 4.0 in complex systems is essential to build reliable systems. To motivate industry practitioners and our project adoption, this paper tries to offer a systemic review on Maintenance 4.0 using historical data. In this paper, an experiment on real data of rotary machine is done to provide predictive maintenance tool","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133549270","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 Hybrid CBR Classification Model by integrating Decision Tree and Random Forest into Case Retrieval 基于决策树和随机森林的案例检索混合CBR分类模型
2021 International Conference on Networking and Advanced Systems (ICNAS) Pub Date : 2021-10-27 DOI: 10.1109/icnas53565.2021.9628920
Ilhem Tarchoune, Akila Djebbar, H. Merouani
{"title":"A Hybrid CBR Classification Model by integrating Decision Tree and Random Forest into Case Retrieval","authors":"Ilhem Tarchoune, Akila Djebbar, H. Merouani","doi":"10.1109/icnas53565.2021.9628920","DOIUrl":"https://doi.org/10.1109/icnas53565.2021.9628920","url":null,"abstract":"Due to the huge amount of medical data, which are stored in databases. The classification is the most demanding task for automatic decision making. This paper presents the development of ahybrid system for classifying medical data, based on the combination of learning methods with Case-Based Reasoning (CBR). The importance of this work lies in the design and implementation of an automatic classifier such as decision trees (C4.5,REPTree, LMT) and Random Forests (RF) to model the Retrieval phase of a CBR system, thus aiding inthe diagnosis or initial screening of the disease. The performance of the hybrid CBR system designed with C4.5 is compared to those designed with REPTree, Logistic Model Tree (LMT) and Random Forest (RF) for a set of dynamic and static activities. The system is trained and tested on four medicaldatasets, namely Wisconsin Breast Cancer, Thyroid, Hepatitis and Breast pathologies. Simulation results show that the proposed CBRRF and CBR-LMT methods outperform CBR-C4.5 and CBR-REPTree by achieving overall accuracy during cross-dataset evaluation of 97%, 96%, 83%, and 94%on Wisconsin Breast Cancer, Thyroid, Hepatitis, and Breast pathologies, respectively, and achievebetween0.10-0.14 root mean square error.","PeriodicalId":321454,"journal":{"name":"2021 International Conference on Networking and Advanced Systems (ICNAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962607","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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