{"title":"Failure-aware resource provisioning mechanism in cloud infrastructure","authors":"R. Moorthy, T. Somasundaram, K. Govindarajan","doi":"10.1109/GHTC-SAS.2014.6967593","DOIUrl":null,"url":null,"abstract":"Cloud resource providers provide the compute, storage and network resources in an on demand manner from cloud infrastructure. Resource Provisioning is one of the biggest challenging tasks in the cloud infrastructure, due to the dynamic nature of cloud resources and on demand user application requirements. However, in the cloud infrastructure, failure is one of the most essential factors that plays a main role in the completion of jobs within the user-specified deadline and minimize the execution cost. The proposed failure-aware resource provisioning mechanism involves three stages: (1) Predict the availability of cloud resources (2) Cluster the cloud resources based on the availability (3) Optimal Selection of Clustered resources. The proposed approach is integrated with the Cloud Broker to allocate the cloud resources for provisioning in an optimal manner. It is evaluated by performing the various simulation experiments. The simulation results prove the effectiveness in terms of makespan, execution cost and failure rate of the jobs.","PeriodicalId":437025,"journal":{"name":"2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GHTC-SAS.2014.6967593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Cloud resource providers provide the compute, storage and network resources in an on demand manner from cloud infrastructure. Resource Provisioning is one of the biggest challenging tasks in the cloud infrastructure, due to the dynamic nature of cloud resources and on demand user application requirements. However, in the cloud infrastructure, failure is one of the most essential factors that plays a main role in the completion of jobs within the user-specified deadline and minimize the execution cost. The proposed failure-aware resource provisioning mechanism involves three stages: (1) Predict the availability of cloud resources (2) Cluster the cloud resources based on the availability (3) Optimal Selection of Clustered resources. The proposed approach is integrated with the Cloud Broker to allocate the cloud resources for provisioning in an optimal manner. It is evaluated by performing the various simulation experiments. The simulation results prove the effectiveness in terms of makespan, execution cost and failure rate of the jobs.