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Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning [article]

Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella
2021 arXiv   pre-print
The approach leverages Deep Embedded Clustering (DEC), a family of unsupervised clustering algorithms based on deep learning, which uses an autoencoder to optimize data dimensionality and inter-cluster  ...  We applied the approach in the context of the OpenStack cloud computing platform, both on the raw failure data and in combination with an anomaly detection pre-processing algorithm.  ...  Acknowledgements This work has been partially supported by the University of Naples Federico II in the frame of the Programme F.R.A., project id OSTAGE.  ... 
arXiv:2106.15182v1 fatcat:n77ysqsxybhybnuomnre5edsv4

Design of Collaborative Framework of Network Technologies to Enhance Surveillance Security and Intrusion Detection

Sivachandiran S.
2020 International Journal of Advanced Trends in Computer Science and Engineering  
the objects in video with the trained set of objects using deep learning algorithms.  ...  of Things (IoT) along with Machine learning techniques and deep learning algorithms for attaining two major objectives via 1) Enhancement of Transmission speed in terms of Latency, Bandwidth, Transmission  ...  The deep learning assists in mapping the objects under two aspects: Face Recognition Deep learning is capable of identifying the face of a person in a close-up video recording based on existing deep  ... 
doi:10.30534/ijatcse/2020/106942020 fatcat:vwtwprmufrazhcum73rsevgtbe

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
The Enhancement of Underexposed Images w Blurred Reflectance Kot, Alex C.  ...  Occupancy Map Coding fo Video-Based Point Cloud Compression Li, Li Network Update Compression for Federated Learning Li, Li Point Cloud Geometry Prediction Across Spati Scale using Deep Learning  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y

VB-Net: Voxel-Based Broad Learning Network for 3D Object Classification

Zishu Liu, Wei Song, Yifei Tian, Sumi Ji, Yunsick Sung, Long Wen, Tao Zhang, Liangliang Song, Amanda Gozho
2020 Applied Sciences  
However, the irregular data format of point clouds and the large number of parameters in deep learning networks affect the performance of object classification.  ...  The average recognition accuracy was 83.99% and 90.08%, respectively. Compared to deep learning networks, the time consumption of the proposed system is significantly decreased.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 6735  ... 
doi:10.3390/app10196735 fatcat:tfsqw2phf5hi7ixwjx5pk6dksq

Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics

Muhammad Ali, Ashiq Anjum, M. Usman Yaseen, A. Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Manish Parashar
2018 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC)  
We address this problem by distributing the deep learning pipeline across edge and cloudlet/fog resources.  ...  The proposed approach performs initial processing of the data close to the data source at edge and fog nodes, resulting in significant reduction in the data that is transferred and stored in the cloud.  ...  A typical Cloud-based deep learning pipeline for object recognition and the proposed edge enhanced decomposition of the pipeline is shown in Fig.2 . It consists of four stages marked as S1-S4.  ... 
doi:10.1109/cfec.2018.8358733 dblp:conf/icfec/AliAYZBRP18 fatcat:3g5mvxvwkfdwhob6dmersotd7u

A Survey on Cloud Attack Detection using Machine Learning Techniques

Gavini Sreelatha, A. Vinaya Babu, Divya Midhunchakkarvarthy
2020 International Journal of Computer Applications  
The deep learning is a branch of machine learning that provides remarkable performance in cloud security issues.  ...  This work also reviews the security solutions developed by machine learning and deep learning techniques for the cloud environment.  ...  Yet an anomaly detection based on deep learning requires further enhancement in the feature reduction process for improving the speed of detection.  ... 
doi:10.5120/ijca2020920887 fatcat:5kk66mrxcffhnajfovglapfasu

Superresolution Imaging With a Deep Multipath Network for the Reconstruction of Satellite Cloud Images

Jinglin Zhang, Zhipeng Yang, Zhaoying Jia, Cong Bai
2021 Earth and Space Science  
Lim et al. (2017) have applied an enhanced deep SR network (EDSR) to remove the batch normalization layer in the residual block.  ...  Compared with the Bicubic and K-SVD methods, the deep learning methods could reconstruct clearer and more realistic HR satellite cloud images.  ... 
doi:10.1029/2020ea001559 fatcat:ytp5t3nmxzew7f7r4bzehicvcu

A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight [article]

Alessandro Bruno, Anna Anzalone, Carlo Vigorito (for the JEM-EUSO collaboration)
2019 arXiv   pre-print
Furthermore, an image enhancement step was needed to be applied as a preprocessing step to deal with uncalibrated data.  ...  Indirect measurements of UHECRs can be affected by cloud presence during nighttime, therefore it is crucial to know the meteorological conditions during the observation period of the detector.  ...  on Deep Learning CNN (Convolutional Neural Network) [5] technique, which is able to classify image patches as cloudy or clear, and the accurate Data Enhancement and Cloud Mapping modules.  ... 
arXiv:1909.05917v1 fatcat:vtfth7dppng6bc5zia3wrolr64

Enhancement of 3D Point Cloud Contents Using 2D Image Super Resolution Network

Seonghwan Park, Junsik Kim, Yonghae Hwang, Doug Young Suh, Kyuheon Kim
2022 Journal of Web Engineering  
This data loss can cause deterioration in the quality of a reconstructed point cloud.  ...  This paper proposed a method of enhancing a reconstructed point cloud by applying a super resolution network to the 2D patch image sequence of a 3D point cloud.  ...  Thus, ResNet [10] proposed a new learning method called residual learning, so that even in deep networks, the gradient vanishing/exploding problem does not occur, which improved the performance.  ... 
doi:10.13052/jwe1540-9589.21213 fatcat:sih4colrfrgkjjfedyv5f2vxy4

Enhanced Multi-dimensional and Multi-grained Cascade Forest for Cloud/snow Recognition Using Multispectral Satellite Remote Sensing Imagery

Meng Xia, Zhijie Wang, Fang Han, Yangting Kang
2021 IEEE Access  
Deep learning technology has contributed to the improvement of the performance of cloud/snow recognition.  ...  However, deep learning-based methods cannot well balance the performance and efficiency of cloud/snow recognition.  ...  The cloud/snow recognition algorithm based on deep learning involves a Deep Neural Network.  ... 
doi:10.1109/access.2021.3114185 fatcat:bye2bysql5eipdhd2nlxblszvu

A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

Afaf Edinat, Rizik M. H. Al-Sayyed, Amjad Hudaib
2021 International Journal of Interactive Mobile Technologies  
Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA).  ...  In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA.  ...  Conclusion and findings: in this stage, the agent in the proposed model will help the enhanced deep Q-learning to reach the optimal action and improve the learning process in a deep Q-learning algorithm  ... 
doi:10.3991/ijim.v15i21.26379 fatcat:uxju4kydfnepnkk24ap3ndd5rm

Table of contents

2020 IEEE Internet of Things Journal  
Min 6338 FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Zhang 6180 Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things . (Contents Continued on Page iii) (Contents Continued from Page ii) , and X.  ... 
doi:10.1109/jiot.2020.3002639 fatcat:uyvmuopvtfgg5hz3xqekobi4ri

Intrusion Detection using Deep Learning Long Short-term Memory with Wrapper Feature Selection Method

Sana Al Azwari, Hamza Turabieh
2021 International Journal of Advanced Computer Science and Applications  
Recently, many companies move to use cloud computing systems to enhance their performance and productivity.  ...  The obtained results show the ability of feature selection method to enhance the overall performance of LSTM.  ...  The above work studied the emergence of deep learning in the performance of IDS.  ... 
doi:10.14569/ijacsa.2021.0120366 fatcat:r5bnancrxzdejohtf5aa3ibncq

Privacy-Preserving Serverless Edge Learning with Decentralized Small Data [article]

Shih-Chun Lin, Chia-Hung Lin
2021 arXiv   pre-print
This low-load enhancement can seamlessly work with various distributed deep models to improve communications and computation efficiencies during the training phase.  ...  The design jointly considers learning task requests and underlying infrastructure heterogeneity, including last-mile transmissions, computation abilities of mobile devices, edge and cloud computing centers  ...  FEW-SHOT LEARNING ENHANCEMENT We provide a novel enhancement for efficient distributed training in Section II and study a use case to show that communications and computation overheads during distributed  ... 
arXiv:2111.14955v2 fatcat:cofiguye4fb4nm3fj7tpt7ghr4

Enhancement of Plant Disease Detection Framework using Cloud Computing and GPU Computing

2019 International Journal of Engineering and Advanced Technology  
GPUs in a cloud environment still needs a long way to initiate various challenges in a cloud .The gap for making this as a shared resource in the cloud is still at preliminary level and still limited to  ...  GPUs are very useful in high performance computing. With the emerging new trend of cloud environments with GPU instances are now gaining popularity in many real time applications.  ...  Till now, GPUs are still most effective when used in conjunction with deep learning based data on a cloud platform. Cloud can help farmers in many ways.  ... 
doi:10.35940/ijeat.a9541.109119 fatcat:umdhedd6d5c4zmdkthkbmyygse
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