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Performance montoring and visualizat...

University of Toronto (Canada).

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Performance montoring and visualization of object-oriented operating systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Performance montoring and visualization of object-oriented operating systems./
作者:	Czajkowski, Adam.
面頁冊數:	106 p.
附註:	Source: Masters Abstracts International, Volume: 46-06, page: 3306.
Contained By:	Masters Abstracts International46-06.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR38907
ISBN:	9780494389072

Performance montoring and visualization of object-oriented operating systems.
Czajkowski, Adam.

Performance montoring and visualization of object-oriented operating systems. - 106 p.

Source: Masters Abstracts International, Volume: 46-06, page: 3306.

Thesis (M.A.Sc.)--University of Toronto (Canada), 2008.

Second, it implements a system-wide scanning facility which extracts all live processes and their objects. Finally, it implements a novel mechanism to dynamically track lock acquisitions and lock contention.

ISBN: 9780494389072Subjects--Topical Terms:

626642
Computer Science.

Performance montoring and visualization of object-oriented operating systems.
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520 $a Second, it implements a system-wide scanning facility which extracts all live processes and their objects. Finally, it implements a novel mechanism to dynamically track lock acquisitions and lock contention.
520 $a Computer systems are becoming more complex every year, making it exceedingly difficult to understand how well a running system is performing. Various tools have been developed to aid in systems analysis. Some of them can be used to monitor performance and help identify performance bottlenecks. However, they all have limitations, and the scope of their monitoring capabilities is usually limited.
520 $a This dissertation presents a new monitoring system called the Kernel Object Viewer (KOV) that makes three primary contributions. First, it can dynamically track important performance metrics using Hardware Performance Counters: (1) at object instance-level granularity; (2) requiring no changes to the code; (3) adding no overhead when monitoring is not required; and (4) allowing monitoring overhead to be varied by dynamically changing the sampling frequency.
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