Multiagent and Grid Systems最新文献_第4页

A novel distributed spectrum management in mobile edge computing based cognitive radio Internet of Things networks 一种基于移动边缘计算的认知无线电物联网分布式频谱管理方法

IF 0.7

Multiagent and Grid Systems Pub Date : 2022-03-07 DOI: 10.3233/mgs-220358

Fatima Zohra Benidriss, Said Limam

引用次数: 0

Cloud-oriented fault tolerance technique based on resource state 基于资源状态的面向云的容错技术

IF 0.7

Multiagent and Grid Systems Pub Date : 2022-03-07 DOI: 10.3233/mgs-220356

Abdelhamid Khiat

引用次数: 0

Survey on energy efficient scheduling techniques on cloud computing 基于云计算的节能调度技术综述

IF 0.7

Multiagent and Grid Systems Pub Date : 2022-03-07 DOI: 10.3233/mgs-220357

N. Kaur, S. Bansal, R. Bansal

引用次数: 0

Hybrid fuzzy clustering to improve services availability in P2P-based SaaS-cloud 混合模糊聚类提高基于p2p的saas云中的服务可用性

IF 0.7

Multiagent and Grid Systems Pub Date : 2022-03-07 DOI: 10.3233/mgs-220355

A. Achache, Abdelhalim Baaziz, T. Sari

{"title":"Hybrid fuzzy clustering to improve services availability in P2P-based SaaS-cloud","authors":"A. Achache, Abdelhalim Baaziz, T. Sari","doi":"10.3233/mgs-220355","DOIUrl":"https://doi.org/10.3233/mgs-220355","url":null,"abstract":"Software as a Service is evolving as a leader model for cloud service delivery, enabling service providers to remotely deliver hosted, developed and managed software over the Internet. In parallel, some IT services are moving from traditional Internet services to cloud services based on peer-to-peer technologies. However, the P2P-based cloud is a large-scale, heterogeneous and highly dynamic environment whose performance is highly dependent on its ability to maintain persistent availability of SaaS services. In this paper, we propose an approach for improving SaaS service availability in order to meet service quality requirements and maintain performance in a P2P-Based cloud environment. It is mainly based on a new hybrid clustering mechanism that aims to provide a virtual and optimal infrastructure in order to organize the system peers into distinct clusters represented by virtual nodes forming together a virtual layer. This layer allows not only the distribution of peer providers but also the formation of condensed areas of each service of interest for a set of neighboring peers, which improve the availability probability of services in specific regions. In addition, a service availability measurement model was proposed based on the use of the system’s virtual layer taking into account different entities at different levels. The experimental results show that the proposed approach improves the probability of SaaS service availability and the reliability of the P2P-Cloud system. It responds mainly to the large-scale nature of distributed systems as well as making the best trade-off of maintaining QOS in terms of availability, performance and cost.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":"25 1","pages":"297-334"},"PeriodicalIF":0.7,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91010516","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

Hybrid machine learning approach based intrusion detection in cloud: A metaheuristic assisted model 云环境下基于混合机器学习的入侵检测:一种元启发式辅助模型

IF 0.7

Multiagent and Grid Systems Pub Date : 2022-01-01 DOI: 10.3233/MGS-220360

V. MuraliMohan, R. Balajee, Hiren K. Mewada, B. Rajakumar, D. Binu

引用次数: 0

Adaptive replication strategy based on popular content in cloud computing 基于云计算流行内容的自适应复制策略

IF 0.7

Multiagent and Grid Systems Pub Date : 2021-12-20 DOI: 10.3233/mgs-210354

Imad Eddine Miloudi, Belabbas Yagoubi, Fatima Zohra Bellounar, Taieb Chachou

引用次数: 0

A saliency model-oriented convolution neural network for cloud detection in remote sensing images 面向显著性模型的卷积神经网络在遥感图像云检测中的应用

IF 0.7

Multiagent and Grid Systems Pub Date : 2021-12-20 DOI: 10.3233/mgs-210352

Jun Zhang, Jun-Jun Liu

{"title":"A saliency model-oriented convolution neural network for cloud detection in remote sensing images","authors":"Jun Zhang, Jun-Jun Liu","doi":"10.3233/mgs-210352","DOIUrl":"https://doi.org/10.3233/mgs-210352","url":null,"abstract":"Remote sensing is an indispensable technical way for monitoring earth resources and environmental changes. However, optical remote sensing images often contain a large number of cloud, especially in tropical rain forest areas, make it difficult to obtain completely cloud-free remote sensing images. Therefore, accurate cloud detection is of great research value for optical remote sensing applications. In this paper, we propose a saliency model-oriented convolution neural network for cloud detection in remote sensing images. Firstly, we adopt Kernel Principal Component Analysis (KCPA) to unsupervised pre-training the network. Secondly, small labeled samples are used to fine-tune the network structure. And, remote sensing images are performed with super-pixel approach before cloud detection to eliminate the irrelevant backgrounds and non-clouds object. Thirdly, the image blocks are input into the trained convolutional neural network (CNN) for cloud detection. Meanwhile, the segmented image will be recovered. Fourth, we fuse the detected result with the saliency map of raw image to further improve the accuracy of detection result. Experiments show that the proposed method can accurately detect cloud. Compared to other state-of-the-art cloud detection method, the new method has better robustness.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":"11 1","pages":"235-247"},"PeriodicalIF":0.7,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85985217","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

Image compression and encryption based on integer wavelet transform and hybrid hyperchaotic system 基于整数小波变换和混合超混沌系统的图像压缩与加密

IF 0.7

Multiagent and Grid Systems Pub Date : 2021-12-20 DOI: 10.3233/mgs-210351

Rajamandrapu Srinivas, N. Mayur

{"title":"Image compression and encryption based on integer wavelet transform and hybrid hyperchaotic system","authors":"Rajamandrapu Srinivas, N. Mayur","doi":"10.3233/mgs-210351","DOIUrl":"https://doi.org/10.3233/mgs-210351","url":null,"abstract":"Compression and encryption of images are emerging as recent topics in the area of research to improve the performance of data security. A joint lossless image compression and encryption algorithm based on Integer Wavelet Transform (IWT) and the Hybrid Hyperchaotic system is proposed to enhance the security of data transmission. Initially, IWT is used to compress the digital images and then the encryption is accomplished using the Hybrid Hyperchaotic system. A Hybrid Hyperchaotic system; Fractional Order Hyperchaotic Cellular Neural Network (FOHCNN) and Fractional Order Four-Dimensional Modified Chua’s Circuit (FOFDMCC) is used to generate the pseudorandom sequences. The pixel substitution and scrambling are realized simultaneously using Global Bit Scrambling (GBS) that improves the cipher unpredictability and efficiency. In this study, Deoxyribonucleic Acid (DNA) sequence is adopted instead of a binary operation, which provides high resistance to the cipher image against crop attack and salt-and-pepper noise. It was observed from the simulation outcome that the proposed Hybrid Hyperchaotic system with IWT demonstrated more effective performance in image compression and encryption compared with the existing models in terms of parameters such as unified averaged changed intensity, a number of changing pixels rate, and correlation coefficient.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":"525 1","pages":"219-234"},"PeriodicalIF":0.7,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77688763","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

Novel energy-aware approach to resource allocation in cloud computing 云计算中一种新的能量感知资源分配方法

IF 0.7

Multiagent and Grid Systems Pub Date : 2021-12-20 DOI: 10.3233/mgs-210350

K. Saidi, O. Hioual, Abderrahim Siam

引用次数: 2

Urban street scene analysis using lightweight multi-level multi-path feature aggregation network 基于轻量级多层次多路径特征聚合网络的城市街景分析

IF 0.7

Multiagent and Grid Systems Pub Date : 2021-12-20 DOI: 10.3233/mgs-210353

Tanmay Singha, Duc-Son Pham, A. Krishna

{"title":"Urban street scene analysis using lightweight multi-level multi-path feature aggregation network","authors":"Tanmay Singha, Duc-Son Pham, A. Krishna","doi":"10.3233/mgs-210353","DOIUrl":"https://doi.org/10.3233/mgs-210353","url":null,"abstract":"Urban street scene analysis is an important problem in computer vision with many off-line models achieving outstanding semantic segmentation results. However, it is an ongoing challenge for the research community to develop and optimize the deep neural architecture with real-time low computing requirements whilst maintaining good performance. Balancing between model complexity and performance has been a major hurdle with many models dropping too much accuracy for a slight reduction in model size and unable to handle high-resolution input images. The study aims to address this issue with a novel model, named M2FANet, that provides a much better balance between model’s efficiency and accuracy for scene segmentation than other alternatives. The proposed optimised backbone helps to increase model’s efficiency whereas, suggested Multi-level Multi-path (M2) feature aggregation approach enhances model’s performance in the real-time environment. By exploiting multi-feature scaling technique, M2FANet produces state-of-the-art results in resource-constrained situations by handling full input resolution. On the Cityscapes benchmark data set, the proposed model produces 68.5% and 68.3% class accuracy on validation and test sets respectively, whilst having only 1.3 million parameters. Compared with all real-time models of less than 5 million parameters, the proposed model is the most competitive in both performance and real-time capability.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":"32 3 1","pages":"249-271"},"PeriodicalIF":0.7,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83544982","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