Login

Scalable memory management using a distributed buddy allocator

Show full item record




Title: Scalable memory management using a distributed buddy allocator
Author: Modzelewski, Kevin (Kevin Paul)
Other Contributors: Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor: Anant Agarwal.
Department: Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Publisher: Massachusetts Institute of Technology
Issue Date: 2010
Abstract: The recent rise of multicore processors has forced us to reexamine old computer science problems in a new light. As multicores turn into manycores, we need to visit these problems yet again to find solutions that will work on these drastically different architectures. This thesis presents the design of a new page allocator algorithm based on a new distributed buddy allocator algorithm, one which is made with future processor architectures in mind. The page allocator is a vital and heavily-used part of an operating system, and making this more scalable is a necessary step to build a scalable operating system. This design was implemented in the fos [34] research operating system, and evaluated on 8- and 16-core machines. The results show that this design has comparable performance with Linux for small core counts, and with its better scalability, surpasses the performance of Linux at higher core counts.
Description: Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (p. 53-56).
URI: http://hdl.handle.net/1721.1/61002
Keywords: Electrical Engineering and Computer Science.

Files in this item

Files Size Format View Description
Preview, non-printable (open to all) 314.1Kb PDF View/Open Preview, non-printable (open to all)
Full printable version (MIT only) 485.9Kb PDF View/Open Full printable version (MIT only)

This item appears in the following Collection(s)

Show full item record

Search DSpace@MIT


Advanced Search

Browse

My Account

Links