PhD Dissertation Defense:Rehana Begam-Resource-Constrained Clouds

Date: July 17, 2017
Time: 10:00 am – 12:00 pm





Computer Science Dissertation Defense

"Time-Sensitive VM Provisioning for Resource-Constrained Clouds"


 Rehana Begam

 Monday, July 17, 2017

 NPB 3.108A-1

10:00 A.M.- 12:00 P.M.





Dr. Dakai Zhu: Supervising Professor

 Dr. Wei Wang
Dr. Abdullah Muzahid
Dr. Jianwei Niu
Dr. Lide Duan




Resource management is a vital factor for better performance in cloud computing systems and

one of the major goals of resource allocation is to efficiently utilize available resources. Many

research has been conducted for managing the computing resources in cloud systems by

exploiting different points of view and application scenarios. Most of these research were

conducted on public clouds and are not applicable for the private clouds or resourceconstrained

clouds that normally have limited computing resources. Moreover they mostly

consider resource requirement and resource capacity during the allocation decision. Only very

few of them have utilized the time domain information of the application which is an

important aspect for data analytic jobs. These jobs account for a large proportion of cloud

applications such as web logs analysis, weather forecast analysis, finance analysis, scientific

simulation, machine learning, etc. In this thesis work, we focus on applications with timing

constraints (i.e., deadlines) running on resourceconstrained clouds that have multiple heterogeneous nodes of computing resources (e.g., CPU cores and memory). We propose a time sensitive resource allocation and virtual machine (VM) provisioning framework where user requests are first prioritized according to their deadlines and resource demands (in the

form of VM type/number and operation time).