dc.contributor.author |
Zaw, Yu Mon
|
|
dc.contributor.author |
Nwe, Khine Moe
|
|
dc.date.accessioned |
2019-12-27T07:48:11Z |
|
dc.date.available |
2019-12-27T07:48:11Z |
|
dc.date.issued |
2019-12-07 |
|
dc.identifier.uri |
http://onlineresource.ucsy.edu.mm/handle/123456789/2460 |
|
dc.description.abstract |
Cloud computing is the on-demand availability of computer system resources and services over the internet and cloud data centers play important role in fulfilling on-demand facilities such as servers, communication media and data storage facilities. In recent years, the dynamic allocation of virtual machines in cloud data centers has become one of the promising challenges. The result of under-utilization and wastage could cause the poor service and decreasing performance in data centers. Therefore, resource allocation policies play important role in allocating and managing the resources in cloud computing environment. This paper proposes a model of efficient Virtual Machine Allocation Policy with considering CPU and Memory (RAM) as attributes in mapping VMs to the most suitable Physical Machine in Cloud Data center. The proposed model uses Jump Search algorithm in order to receive fast speed allocation and the result is verified by simulating this model using CloudSim. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Proceedings of the 10th International Conference on Science and Engineering (ICSE 2019) |
en_US |
dc.relation.ispartofseries |
;Vol-1, pp.209-212 |
|
dc.subject |
VM allocation policy |
en_US |
dc.subject |
Jump Search |
en_US |
dc.subject |
Cloud Computing |
en_US |
dc.subject |
Cloud Data center |
en_US |
dc.subject |
dynamic allocation |
en_US |
dc.title |
Efficient Virtual Machine Allocation Model for Cloud Data Center |
en_US |
dc.type |
Article |
en_US |