Title :
Cloud Bank Model Based on AHP Resource Scheduling Strategy Research
Author :
Hao Li ; Shuwei Jia ; Fan Yang ; Renxiang Wang
Author_Institution :
Sch. of Software, Yunnan Univ., Kunming, China
Abstract :
Under the circumstances of the cloud bank model, this paper studies resource scheduling problem on cloud computing. Considering the the user´s needs for optimal allocation of resources and the shortest time to complete the total task, cloud computing resource scheduling of analytic hierarchy process model (AHP) is established. Under this model, conduct simulation experiment through the CloudSim platform. Results show that the AHP algorithm under the model, while protecting users´ (quality of service) QoS, is even shorter than the general algorithm in completing the total task time. It is an effective resource scheduling algorithm.
Keywords :
analytic hierarchy process; cloud computing; quality of service; scheduling; AHP resource scheduling strategy research; CloudSim platform; QoS; analytic hierarchy process model; cloud bank model; cloud computing; optimal allocation; quality of service; Cloud computing; Computational modeling; Processor scheduling; Quality of service; Resource management; Scheduling; Vectors; AHP model; cloud bank; resource scheduling;
Conference_Titel :
Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4799-2829-3
DOI :
10.1109/CLOUDCOM-ASIA.2013.49