User Guide
Why can I only view 3 results?
You can also view all results when you are connected from the network of member institutions only. For non-member institutions, we are opening a 1-month free trial version if institution officials apply.
So many results that aren't mine?
References in many bibliographies are sometimes referred to as "Surname, I", so the citations of academics whose Surname and initials are the same may occasionally interfere. This problem is often the case with citation indexes all over the world.
How can I see only citations to my article?
After searching the name of your article, you can see the references to the article you selected as soon as you click on the details section.
 Views 21
 Downloands 4
Task Failure Prediction in Cloud Data Centers Using Deep Learning
2023
Journal:  
Turkish Journal of Computer and Mathematics Education
Author:  
Abstract:

A large-scale cloud data center must reduce the likelihood of failure while simultaneously providing high service dependability and availability. However, modern large-scale cloud data centers continue to experience high failure rates due to software and hardware flaws that frequently cause task and job failures. Such failures may have a significant negative impact on the dependability of cloud services and necessitate significant resource restoration. Task or work failures must be accurately predicted prior to their occurrence in order to reduce unexpected waste. Evaluation of previous system message logs and recognition of the relationship between the data and failures are two methods that have been published that use machine learning and deep learning to predict task or job failures. We present a cloud task and job failure prediction strategy based on multi-layer Bidirectional Long Short Term Memory (Bi-LSTM) to improve the accuracy of machine learning and deep learning-based failure prediction systems. The Bi-LSTM prediction algorithm determines the success of jobs and projects. With 93% and 87% accuracy for task failures, respectively, our method outperforms current cutting-edge prediction algorithms in trace-driven experiments.

Keywords:

Citation Owners
Information: There is no ciation to this publication.
Similar Articles










Turkish Journal of Computer and Mathematics Education

Journal Type :   Uluslararası

Metrics
Article : 1.706
Cite : 106
2023 Impact : 0.071
Turkish Journal of Computer and Mathematics Education