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Dynamic cache-usage profiler for the...
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Mulia, Wira Damis.
Dynamic cache-usage profiler for the Xen hypervisor.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Dynamic cache-usage profiler for the Xen hypervisor.
Author:
Mulia, Wira Damis.
Description:
42 p.
Notes:
Source: Masters Abstracts International, Volume: 48-04, page: 2385.
Notes:
Adviser: Sohum A. Sohoni.
Contained By:
Masters Abstracts International48-04.
Subject:
Engineering, Computer.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1474085
ISBN:
9781109619041
Dynamic cache-usage profiler for the Xen hypervisor.
Mulia, Wira Damis.
Dynamic cache-usage profiler for the Xen hypervisor.
- 42 p.
Source: Masters Abstracts International, Volume: 48-04, page: 2385.
Thesis (M.S.)--Oklahoma State University, 2009.
Scope and Method of Study. This study focuses on improving virtualization performance by utilizing existing architectural infrastructures. The system encompasses the profiler that interacts with low-level architecture resources, a data collection module and a program that interprets this data. These components are used to quantify performance and co-schedule virtual machines to achieve optimum system performance.
ISBN: 9781109619041Subjects--Topical Terms:
384375
Engineering, Computer.
Dynamic cache-usage profiler for the Xen hypervisor.
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Mulia, Wira Damis.
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Dynamic cache-usage profiler for the Xen hypervisor.
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42 p.
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Source: Masters Abstracts International, Volume: 48-04, page: 2385.
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Adviser: Sohum A. Sohoni.
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Thesis (M.S.)--Oklahoma State University, 2009.
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Scope and Method of Study. This study focuses on improving virtualization performance by utilizing existing architectural infrastructures. The system encompasses the profiler that interacts with low-level architecture resources, a data collection module and a program that interprets this data. These components are used to quantify performance and co-schedule virtual machines to achieve optimum system performance.
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Findings and Conclusions. This thesis shows that by providing feedback to the hypervisor scheduler can improve individual virtual machine and overall system performance. Further studies will need to be done to further leverage this mechanism and develop various policies.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1474085
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