2019 IEEE 10th GCC Conference & Exhibition (GCC)最新文献_第2页

Failure Characterization and Prediction of Scheduling Jobs in Google Cluster Traces Google集群轨迹中调度作业的故障表征与预测

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570516010

Mohammad S. Jassas, Q. Mahmoud

{"title":"Failure Characterization and Prediction of Scheduling Jobs in Google Cluster Traces","authors":"Mohammad S. Jassas, Q. Mahmoud","doi":"10.1109/GCC45510.2019.1570516010","DOIUrl":"https://doi.org/10.1109/GCC45510.2019.1570516010","url":null,"abstract":"In cloud computing, all services including infrastructure, platform, and software experience failures due to their large scale and heterogeneity nature. These failures can lead to job failure execution that may cause performance deterioration and resource waste. Most studies have focused mainly on failure analysis and characterization while there is limited research has been done on failure prediction. In this paper, the overall aim is to develop a failure prediction framework that can early detect failed jobs, and the real advantages of this framework are to decrease the resources waste and to increase the performance of cloud applications. Our failure analysis and prediction are based on Google cluster traces. We have developed a failure prediction model for job failure execution based on applying different machine learning algorithms and selecting the best accurate model. Moreover, we evaluate the model performance using different types of evaluation metrics to ensure that the proposed prediction model provides the highest accuracy of predicted values. Finally, we apply different feature selection techniques to improve the accuracy of our proposed model. Our evaluation results show that our model has achieved a high rate of precision, recall, and f1-score.","PeriodicalId":352754,"journal":{"name":"2019 IEEE 10th GCC Conference & Exhibition (GCC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133857158","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: 11

Differential Architecture Search in Deep Learning for Genomic Applications 基因组应用深度学习中的差分架构搜索

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570517087

S. Moosa, S. Boughorbel, A. Amira

{"title":"Differential Architecture Search in Deep Learning for Genomic Applications","authors":"S. Moosa, S. Boughorbel, A. Amira","doi":"10.1109/GCC45510.2019.1570517087","DOIUrl":"https://doi.org/10.1109/GCC45510.2019.1570517087","url":null,"abstract":"The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. This has been fueled through the development of new DL architectures. Yet genomics possesses unique challenges as we expect DL to provide a super human intelligence that easily interprets a human genome. In this paper, the state-of-the art DL approach based on differential search mechanism was adapted for interpretation of biological sequences. This method has been applied on the splice site recognition task on raw DNA sequences to discover high-performance convolutional architectures by automated engineering.The discovered architecture achieved comparable accuracy when evaluated with a fixed Recurrent Neural Network (RNN) architecture. The results have shown a potential of using this automated architecture search mechanism for solving other problems in genomics.","PeriodicalId":352754,"journal":{"name":"2019 IEEE 10th GCC Conference & Exhibition (GCC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132036755","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

Nonlinear Hammerstein-Wiener Model based Fault Detection Approach for a Grid-Connected Cascaded H-Bridge Inverter 基于非线性Hammerstein-Wiener模型的并网级联h桥逆变器故障检测方法

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570512041

I. Chihi, L. Sidhom, M. Trabelsi

引用次数: 0

Solar Powered Golf Cart System for On-Campus University Use 校园内使用的太阳能高尔夫球车系统

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570520867

Rahaf Musslem, Wajd Almehdar, Ghufran Diwan, A. Bensenouci, S. Munawwar

引用次数: 0

GCC 2019 TOC

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/gcc45510.2019.9087626

引用次数: 0

GCC 2019 Copyright Page GCC 2019版权页面

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/gcc45510.2019.9087614

引用次数: 0

Impact of Solar Irradiation on the Performance Ratio of the Photovoltaic Module 太阳辐照对光伏组件性能比的影响

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.9087579

Fajer Alelaj, A. Alqallaf

引用次数: 0

A Reconfigurable Multipurpose System on Chip Platform for Metal Detection 一种可重构多用途金属探测芯片系统

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570521139

N. Mhaisen, Omran Abazeed, Youssef Al-Hariri, N. Nawaz, A. Amira

{"title":"A Reconfigurable Multipurpose System on Chip Platform for Metal Detection","authors":"N. Mhaisen, Omran Abazeed, Youssef Al-Hariri, N. Nawaz, A. Amira","doi":"10.1109/GCC45510.2019.1570521139","DOIUrl":"https://doi.org/10.1109/GCC45510.2019.1570521139","url":null,"abstract":"Modern day robotics is fast developing and evolving in various areas of multi sensor applications like body sensor networks and mine detection. A flexible platform that can be easily integrated into variety of sensors is very essential in any complex environment. A reconfigurable hardware provides a suitable platform to identify and improve existing models used in metal detection industry. In this paper, we propose and implement a metal detection module using Terasic Spider Robot, planned to be used in landmine detection operations. A hardware circuit model to detect metal was designed for the metal detection module and embedded on the TSR. The on board control system was implemented using a reconfigurable DE0 Nano System on Chip platform that can further process the information from the metal detector using efficient algorithm. The movement of the TSR was controlled remotely by Bluetooth using a smartphone app designed specifically for this application. The design also intimates the user with a message on detecting the metal. The design was implemented successfully and the metal detection module detected buried metals at a depth of maximum 7cm.","PeriodicalId":352754,"journal":{"name":"2019 IEEE 10th GCC Conference & Exhibition (GCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125321187","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

Color instance segmentation and classification of cervix images 子宫颈图像彩色实例分割与分类

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570520738

M. Said, Mohamed N. Moustafa, A. Wahba

引用次数: 1

Implementation and Evaluation of Grey Wolf optimization Algorithm on Power System Stability Enhancement 灰狼优化算法在电力系统稳定性增强中的实现与评价

2019 IEEE 10th GCC Conference & Exhibition (GCC) Pub Date : 2019-04-01 DOI: 10.1109/GCC45510.2019.1570512680

A. Alahmed, Salman U. Taiwo, M. A. Abido

引用次数: 1