AIMING: Resource Allocation with Latency Awareness for Federated-Cloud Applications
Joint Authors
Yang, Fangchun
Zhou, Ao
Wei, Jie
Yuan, Jie
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Federated-cloud has been widely deployed due to the growing popularity of real-time applications, and hence allocating resources among clouds becomes nontrivial to meet the stringent service requirements.
The challenges lie in achieving minimized latency constrained by virtual machines rental overhead and resource requirement.
This becomes further complicated by the issues of datacenter selection.
To this end, we propose AIMING, a novel resource allocation approach which aims to minimize the latency constrained by monetary overhead in the context of federated-cloud.
Specifically, the network resources are deployed and selected according to k-means clustering.
Meanwhile, the total latency among datacenters is optimized based on binary quadratic programming.
The evaluation is conducted with real data traces.
The results show that AIMING can reduce total datacenter latency effectively compared with other approaches.
American Psychological Association (APA)
Wei, Jie& Zhou, Ao& Yuan, Jie& Yang, Fangchun. 2018. AIMING: Resource Allocation with Latency Awareness for Federated-Cloud Applications. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216028
Modern Language Association (MLA)
Wei, Jie…[et al.]. AIMING: Resource Allocation with Latency Awareness for Federated-Cloud Applications. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1216028
American Medical Association (AMA)
Wei, Jie& Zhou, Ao& Yuan, Jie& Yang, Fangchun. AIMING: Resource Allocation with Latency Awareness for Federated-Cloud Applications. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216028