DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)-IJACSCC |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4,Issue-1 ( May, 2016 ) | |||||||||
Paper Title |
A Novel Multi-Dimensional Resource Allocation Mechanism In Cloud | |||||||||
Author Name |
Hong-Yi Chang, Tu-Liang Lin, Hsin-Che Lu, Yi-Ying Lin | |||||||||
Affilition |
Department of Management Information Systems, National Chiayi University, Chiayi City, Taiwan Information and Resource Technology Department, Intelligent Machinery Technology Division, Machine Tools Technology Center, Industrial Technology Research Institute, Taichung City, Taiwan | |||||||||
Pages |
18-23 | |||||||||
Abstract |
The cost of renting a medium level of cloud services from the Amazon Elastic Compute Cloud (EC2) web service is approximately $0.12/hr. Therefore, a resource-allocation strategy that efficiently allots cloud-server resources to clients involves increasing the resource use of each cloud server. This reduces the number of cloud servers rented by cloud-service providers, decreasing the rental costs of customers. Therefore, designing an efficient resource-allocation method is crucial. Resource-allocation problems are considered from one-dimensional or multi-dimensional perspectives. One-dimensional resource-allocation methods cannot compute the varying consumption levels of distinct resources such as the CPU, memory, and storage. Multi-dimensional resource-allocation methods have not addressed the consumption dependencies among various resources and allocating resources is considered an NP-hard problem. The proposed method improves the resource utilization of cloud servers up to 98% in multi-dimensional environment. The proposed method provides approximately 28.6% improved efficiency compared with that of the multi-attribute decision-based integrated resource-scheduling (MADIRS) method. Index Terms- Cloud computing, Resource allocation, High utilization. | |||||||||
| View Paper | ||||||||||
