عنوان مقاله :
Towards cloud-based resource management for big data applications
پديد آورندگان :
Ghobaei-Arani ، Mostafa Qom Branch Islamic Azad University - Department of Computer Engineering , Akhavan ، Hoda Amirkabir University of Technology - Department of Computer Engineering and Information Technology
كليدواژه :
Resource Management , Cloud Environment , Quality of service , Data analysis , Big data
چكيده فارسي :
In the age of information technology, analyzing data in the cloud through efficient resource management is recognized as an effective solution to meet the quality-of-service needs of users. In this regard, this paper proposes a fuzzy selector-based approach to improve the virtual machine (VM) migration process that provides a balance between servers during the processing of tasks. The proposed approach is a hierarchical resource prediction that includes local and global parts for processing requests. Evaluations demonstrate the superiority of the proposed approach over state-of-the-art methods. The results show that the proposed approach reduces the cost by 10% compared to FAHP.
عنوان نشريه :
محاسبات نرم
عنوان نشريه :
محاسبات نرم
