Multi-user Multi-provider Resource Allocation in Cloud Computing
Document Type
Conference Proceeding
Publication Date
12-4-2018
Abstract
In a cloud computing environment, cloud service providers offer cloud services to users. How to achieve reasonable and efficient service resource allocation to meet a user's demands is an important problem. Considering a multi-user and multi-provider environment, we propose a service resource allocation framework to optimize an objective function of load and completion time. We design an improved differential evolution algorithm for optimal resource allocation given a batch of multiple tasks. Experimental results show that proposed method can better balance loads among computing resources while achieving better optimized results for the entire system than some existing methods.
Identifier
85059978082 (Scopus)
ISBN
[9781538635933]
Publication Title
IEEE International Conference on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/COASE.2018.8560365
e-ISSN
21618089
ISSN
21618070
First Page
1428
Last Page
1433
Volume
2018-August
Grant
NGII20160207
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhang, Peiyun; Wang, Xuelei; and Zhou, Mengchu, "Multi-user Multi-provider Resource Allocation in Cloud Computing" (2018). Faculty Publications. 8173.
https://digitalcommons.njit.edu/fac_pubs/8173
