A probabilistic multi-tenant model for virtual machine mapping in cloud systems
Author | Wang, Zhuoyao |
Author | Hayat M.M. |
Author | Ghani N. |
Author | Shaban K.B. |
Available date | 2022-12-21T10:01:45Z |
Publication Date | 2014 |
Publication Name | 2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014 |
Resource | Scopus |
Abstract | A 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. |
Sponsor | Qatar National Research Fund |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | cloud computing cloud systems load balancing multi-tenancy stochastic modeling virtual machine |
Type | Conference Paper |
Pagination | 339-343 |
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Computer Science & Engineering [2284 items ]