Download PDFOpen PDF in browser

A Survey on Failure Prediction Techniques in Cloud Computing

EasyChair Preprint no. 4134

4 pagesDate: September 3, 2020


The reliability of cloud service is a crucial issue for cloud service providers and the service users due to large scale demand of cloud computing services for the hosting applications at industrial level. There are two types of fault tolerance techniques namely reactive and proactive to address the issue of reliability. For the systems which require high availability of Virtual Machines the latter technique i.e. Proactive technique is used to make timely actions to reduce any losses. In Cloud Computing, using proactive fault tolerance techniques, issues such as Virtual Machine migration, Virtual Machine placement, Load balancing etc. can be addressed. In this survey paper, various methods are surveyed which predicts the failure in Cloud Systems and improves the reliability of Cloud Environment.

Keyphrases: ANN, ARIMA, Cloud Computing Reliability, failure prediction, KNN, linear regression, LSTM, Ming, Random Forest, SVM, Virtual Machine Failure

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Vaibhavi Prajapati and Vidisha Thakkar},
  title = {A Survey on Failure Prediction Techniques in Cloud Computing},
  howpublished = {EasyChair Preprint no. 4134},

  year = {EasyChair, 2020}}
Download PDFOpen PDF in browser