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Big Data Preventive Maintenance for Hard Disk Failure Detection

Su Chuan-Jun, Jorge A. Quan Yon
2018 International Journal of Information and Education Technology  
Index Terms-Big data, preventive maintenance, failure prediction, hard drive, random forest.  ...  This research focuses on hard drive failure prediction, with big data analysis and machine learning technology, we have developed a Preventive Monitoring System (PMS).  ...  In order to derive the failure prediction of drive disks, a cloud analytics engine that needs to be built.  ... 
doi:10.18178/ijiet.2018.8.7.1085 fatcat:ca4fodutwbcxxaqqe2q6sg543a

An Approach to Failure Prediction in a Cloud Based Environment

Hussaini Adamu, Bashir Mohammed, Ali Bukar Maina, Andrea Cullen, Hassan Ugail, Irfan Awan
2017 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)  
Authors in [19] used an ensemble classifier to achieve hard drive failure prediction on a cloud infrastructure.  ...  hard drive, but rather a host of Hardware (such as: CPU, Disk, DIMM, Cable .etc.).  ... 
doi:10.1109/ficloud.2017.56 dblp:conf/ficloud/AdamuMBCUA17 fatcat:grkuhukpxrgwhemtnxt34ma66i

Design of a Fault Tolerant Architecture for Private Cloud Computing Infrastructure

Yugashri Joshi, Deepak Sharma, Urvashi Gaur, Vaibhav Kumar, Rajesh Kalmady
2017 Indian Journal of Science and Technology  
Findings: As an alternative to the existing cloud fault-tolerant techniques which use expensive and specialized shared storage system, local server disk pool will be used for storing VM images.  ...  Application: This RAIN based model can be deployed over the existing cloud infrastructure. This storage model can be used by cloud toolkits to provide fault tolerant backend for storage.  ...  It supports effortless management of logical volumes, or file systems on various hard drives.  ... 
doi:10.17485/ijst/2017/v10i4/110663 fatcat:6ftericrqndmpjfsdedgc6ma2m

Adaptive Neuro-Fuzzy Inference System Approach on Predicting Hard Disk Failures towards Reliable Data Center

Jenniea A. Olalia
2018 International Journal for Research in Applied Science and Engineering Technology  
Therefore, constant monitoring of thousands of hard drive should be done not only for replacement of failed hard drive but also the prediction of pending future failure.  ...  The decision tree is too accurate compare to other algorithm in predicting hard drive failure.  ...  Although it was used for hard drive, it was not used for detecting pending failure on the hard drive during actual operation.  ... 
doi:10.22214/ijraset.2018.3480 fatcat:7keexgvyurgmrcejknk6j6nu4e

Adaptive fault-tolerant model for improving cloud computing performance using artificial neural network

Awatif Ragmani, Amina Elomri, Noreddine Abghour, Khalid Moussaid, Mohammed Rida, Elarbi Badidi
2020 Procedia Computer Science  
Then, we investigate the predictive capabilities of five machine learning models including naïve Bayes and artificial neural networks (ANN) to define a failure prediction module for the cloud architecture  ...  Then, we investigate the predictive capabilities of five machine learning models including naïve Bayes and artificial neural networks (ANN) to define a failure prediction module for the cloud architecture  ...  Acknowledgements The authors are grateful to the anonymous referees for their valuable suggestions and comments which contribute to the improvement of the present paper.  ... 
doi:10.1016/j.procs.2020.03.106 fatcat:xjgpxnbjxjbyxgxfnvv7ugzabq

Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment

Bashir Mohammed, Babagana Modu, Kabiru M. Maiyama, Hassan Ugail, Irfan Awan, Mariam Kiran
2018 Electronical Notes in Theoretical Computer Science  
This has necessitated the urgent need for a robust system with an in-depth understanding of system and component failures as well as the ability to predict accurate potential future system failures.  ...  With the evolving trend of technology and growing complexity of high-performance cloud data centre infrastructure, focusing on failure becomes very vital particularly when designing systems for the next  ...  We would like to express our sincere gratitude to PTDF for their funding support.  ... 
doi:10.1016/j.entcs.2018.09.004 fatcat:t26wkhlwefgqvfik7ryloey6de

A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence

Tek Raj Chhetri, Chinmaya Kumar Dehury, Artjom Lind, Satish Narayana Srirama, Anna Fensel
2022 Big Data and Cognitive Computing  
Many studies have been conducted to predict potential failure, but none have combined SMART (self-monitoring, analysis, and reporting technology) hard drive metrics with other system metrics, such as central  ...  Therefore, we propose a combined system metrics approach for failure prediction based on artificial intelligence to improve reliability.  ...  [20] used a ranking based machine learning approach and SMART hard drive information for failure prediction in cloud systems to improve the service availability of Microsoft Azure by migrating VMs from  ... 
doi:10.3390/bdcc6010026 fatcat:bavkmg32u5hxnpj6rpxnvy3p54

Predicting Hard Disk Failure by Means of Automatized Labeling and Machine Learning Approach

Federico Gargiulo, Dirk Duellmann, Pasquale Arpaia, Rosario Schiano Lo Moriello
2021 Applied Sciences  
Today, cloud systems provide many key services to development and production environments; reliable storage services are crucial for a multitude of applications ranging from commercial manufacturing, distribution  ...  As of today, magnetic drives still play a dominant role in terms of deployed storage volume and of service outages due to device failure.  ...  Magnetic hard disks are currently among the most widely used and among the most frequently failing components of storage systems and disk failures, resulting in about 78% of cloud server system failures  ... 
doi:10.3390/app11188293 fatcat:un2k5tqqfnfo3im666pc7l5jaa

Improving Service Availability of Cloud Systems by Predicting Disk Error

Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang
2018 USENIX Annual Technical Conference  
High service availability is crucial for cloud systems. A typical cloud system uses a large number of physical hard disk drives.  ...  In this paper, we propose to predict disk errors proactively before they cause more severe damage to the cloud system.  ...  impactful for Azure service.  ... 
dblp:conf/usenix/XuSYZLDLJZLCZ18 fatcat:eb63z5aw3rhr3nfybrhb2jo3dq

Offline Downloading in China

Zhenhua Li, Christo Wilson, Tianyin Xu, Yao Liu, Zhen Lu, Yinlong Wang
2015 Proceedings of the 2015 ACM Conference on Internet Measurement Conference - IMC '15  
Using a large-scale dataset collected from a major cloud-based system and comprehensive benchmarks of popular smart APs, we find that the two approaches are complementary while also being subject to distinct  ...  In this paper, we examine two typical implementations of offline downloading: the cloud-based approach and the smart AP (access point) based approach.  ...  ACKNOWLEDGEMENTS We would like to thank our shepherd Vyas Sekar and the Tencent Xuanfeng team for their valuable help.  ... 
doi:10.1145/2815675.2815688 dblp:conf/imc/LiWXLLW15 fatcat:amkgwlxhprgxtfcwbwg37upazm

Knowledge Graph Based Hard Drive Failure Prediction

Tek Raj Chhetri, Anelia Kurteva, Jubril Gbolahan Adigun, Anna Fensel
2022 Sensors  
The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important.  ...  Realising this importance, a number of studies have been conducted and many are still ongoing to improve hard drive failure prediction.  ...  Acknowledgments: We would like to express our gratitude to the High Performance Computing Center (HPC) at the University of Innsbruck for providing the LEO HPC infrastructure for our experiment.  ... 
doi:10.3390/s22030985 pmid:35161730 pmcid:PMC8839111 fatcat:pmmjvh2vnzabrcqgjwjh764oiy

Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management

Ali Alzahrani, Tahir Alyas, Khalid Alissa, Qaiser Abbas, Yazed Alsaawy, Nadia Tabassum
2022 Sensors  
Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform.  ...  The overall results show the significant impact of the proposed hybrid framework on cloud storage performance. RAID-6c at the server side came out as the best configuration for optimal performance.  ...  A hard disk drive (HDD) can be categorized into two types, i.e., HDD that can have volume storage, speed and connectivity.  ... 
doi:10.3390/s22165966 fatcat:qruf2ib43zhbpkhmjzzio2v2je

Characterizing Private Clouds

Ignacio Cano, Srinivas Aiyar, Arvind Krishnamurthy
2016 Proceedings of the Seventh ACM Symposium on Cloud Computing - SoCC '16  
We show that private cloud hardware failure rates are lower, and that load/demand needs are more predictable than in other settings.  ...  Finally, we demonstrate the value of the measurements by using them to provide an analytical model for computing durability in private clouds, as well as a machine learning-driven approach for characterizing  ...  Acknowledgments We are grateful to our reviewers and colleagues for their help and comments on earlier versions of this paper.  ... 
doi:10.1145/2987550.2987584 dblp:conf/cloud/CanoAK16 fatcat:bsbmednsrbdh7h66fq3yt7mlaq

Data Security using Proxy Based Methods in Cloud Computing

Lakshmi K Ramachandrappa, Renukaradhya P C
2021 Zenodo  
for the trustworthy cloud environment.  ...  Though many techniques on the topics in cloud computing have been investigated in both academics and industries, data security and privacy protection are becoming more important for the future development  ...  Hard-drive is currently the main storage media in the cloud environment. Reliability of hard disks formulates the foundation of cloud storage.  ... 
doi:10.5281/zenodo.5219654 fatcat:p3ojkxjc7jentn2py5pe5phbym

Research on Cloud Hard Disk Capacity Prediction Scheme Based on Time Series Model

Zizhen Yuan, Chengyu Wen, Xiaoli Zhang
2019 International Journal of Computer Applications Technology and Research  
OpenStack is a cloud operating system, but it does not provide the predictive functionality for cloud disk usage of the virtual machines running on it.  ...  In this paper, it propose a prediction schem of virtual machine cloud hard disk capacity. First the Libvirt API is used to obtain the disk data of the virtual machine.  ...  Experimental environment Name Operating system Hard drive sizes Memory Sizes 1 Controller Centos7 20GB 4GB Compute Centos7 100GB 16GB Block Storage Centos7 1TB 4GB Table 2 .  ... 
doi:10.7753/ijcatr0801.1006 fatcat:4lcqo4a3dzcurmm5nsyqsn4q2u
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