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AuthorWang, Zhuoyao
AuthorHayat M.M.
AuthorGhani N.
AuthorShaban K.B.
Available date2022-12-21T10:01:45Z
Publication Date2014
Publication Name2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014
ResourceScopus
URIhttp://dx.doi.org/10.1109/CloudNet.2014.6969018
URIhttp://hdl.handle.net/10576/37486
AbstractA novel probabilistic multi-tenant model is developed to characterize the service performance of cloud systems. The model considers essential cloud-system characteristics including virtualization, multi-tenancy and heterogeneity of the physical servers. Given the probabilistic multi-tenant model, three virtual machine mapping algorithms are proposed. Of particular interest is the max-load-first algorithm, which firstly maps the largest VM, in terms of the workload size of a user's request it serves, to the fastest physical server in the system. Monte-Carlo simulation results show that the max-load-first algorithm outperforms the other two algorithms based on the mean of stochastic completion time of a group of arbitrary users' requests. The simulation results also provide insight on how the initial loads of servers affect the performance of the cloud system. 2014 IEEE.
SponsorQatar National Research Fund
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcloud computing
cloud systems
load balancing
multi-tenancy
stochastic modeling
virtual machine
TitleA probabilistic multi-tenant model for virtual machine mapping in cloud systems
TypeConference Paper
Pagination339-343
dc.accessType Abstract Only


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