DocumentCode
3118178
Title
Queuing theory algorithm to find the minimal number of VMs to satisfy SLO response time
Author
Al Qayedi, Fatima ; Salah, Khaled ; Zemerly, M. Jamal
Author_Institution
ECE Dept., Khalifa Univ., United Arab Emirates
fYear
2015
fDate
17-19 May 2015
Firstpage
64
Lastpage
67
Abstract
This paper presents a queuing algorithm to find the minimal number of VMs to satisfy Service Level Object (SLO) response time. Using queuing theory, the model guarantees SLO for cloud-hosted applications or services by using minimal number of resources with its maximum capacity. Our proposed algorithm reduces cost for both clients and service providers. Clients pay for the usable resources and the service providers provide minimum needed resources.
Keywords
cloud computing; cost reduction; queueing theory; resource allocation; virtual machines; SLO response time satisfaction; Service Level Object response time; VM minimal number; cloud-hosted applications; cloud-hosted services; cost reduction; queuing theory algorithm; resources number; service providers; Cloud computing; Computational modeling; Delays; Load modeling; Queueing analysis; Servers; Time factors; SLO response time; minimum number of VM; queuing theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location
Abu Dhabi
Type
conf
DOI
10.1109/ICTRC.2015.7156422
Filename
7156422
Link To Document