Title :
Failure-Aware Resource Scheduling Policy for Hybrid Cloud
Author :
Zhang Hong ; Zhu Hai
Author_Institution :
Key Lab. of Cloud Comput. & Internet of Things, Zhoukou Normal Univ., Zhoukou, China
Abstract :
Aiming at increased opportunities for resource failure caused by increasing function in hybrid cloud, the task stability model was constructed according to the feature of failure. In order to simultaneously ensure task stability and private cloud resource utilization, the two layers resource scheduling mode was proposed base on failure-aware. It included a hybrid cloud and private cloud scheduler. Finally, using real failure traces and workload traces, we evaluate the proposed resource provision policy to demonstrate their performance, Resource utilization and violation rate. Experimental results show that the strategy effectively increase the resource utilization and reduce the violation rate.
Keywords :
cloud computing; processor scheduling; resource allocation; failure traces; failure-aware resource scheduling policy; hybrid cloud; private cloud resource utilization; private cloud scheduler; task stability model; violation rate; workload traces; Cloud computing; Computational modeling; Processor scheduling; Resource management; Runtime; Scheduling; Stability analysis; deadline constrain; resource failure; resource provision; workload model;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.158