DocumentCode :
165269
Title :
Failure-aware resource provisioning mechanism in cloud infrastructure
Author :
Moorthy, Rajalakshmi Shenbaga ; Somasundaram, Thamarai Selvi ; Govindarajan, Kannan
fYear :
2014
fDate :
26-27 Sept. 2014
Firstpage :
255
Lastpage :
260
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.
Keywords :
cloud computing; fault tolerant computing; resource allocation; cloud broker; cloud infrastructure; cloud resource providers; execution cost minimization; failure-aware resource provisioning mechanism; network resources; on demand user application requirements; optimal clustered resource selection; storage resources; user-specified deadline; Availability; Clustering algorithms; Hidden Markov models; Particle swarm optimization; Random access memory; Resource management; Schedules; Cloud Computing; K-Means Clustering; Particle Swarm Optimization; Resource Prediction; Resource Provisioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS), 2014 IEEE
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4799-4098-1
Type :
conf
DOI :
10.1109/GHTC-SAS.2014.6967593
Filename :
6967593
Link To Document :
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