From mboxrd@z Thu Jan  1 00:00:00 1970
Received: from feop.com.br (modem12.feop.com.br [200.236.143.44])
	by ouropreto.feop.com.br (8.8.8/8.8.8) with ESMTP id XAA25186
	for <linux-mm@kvack.org>; Sun, 14 May 2000 23:27:16 -0300 (EST)
Message-ID: <391F6245.7D543933@feop.com.br>
Date: Sun, 14 May 2000 23:34:45 -0300
From: Guilherme Carvalho <gaqc@feop.com.br>
MIME-Version: 1.0
Subject: Idea to improve the performance of the Kernel Memory Allocation
Content-Type: multipart/mixed;
 boundary="------------10483FCF0A4ECC0FB6E89ADA"
Sender: owner-linux-mm@kvack.org
Return-Path: <owner-linux-mm@kvack.org>
To: linux-mm@kvack.org
List-ID: <linux-mm.kvack.org>

This is a multi-part message in MIME format.
--------------10483FCF0A4ECC0FB6E89ADA
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit

Hi,

I had an idea to improve the performance of the Kernel Memory
Allocation...
If I am right, the buddy allocation algorithm first searches for blocks
of pages of the size requested and follows the chain of free pages that
is queued on the list element of the the free_area data structure. If no
blocks of pages of the requested size are free, blocks of the next size
are looked for...

free_area:
|  4096  | -> |  8  | -> | 1024  | -> | 8192  | -> | 2  | -> | 4  | -> |
2  | -> | 256  | -> | 512  | -> | 4  | -> | 8  | -> | 16  | ->

in this case, if we request 32 pages, the algorithm will scan the chain
4 times to find the right block.
I think this chain isn't the best structure to do it.

the idea is to make a tree of chains as it is in the attach
(arv-list.jpg).
this tree should be an AVL tree for better performance.

Each element of the tree would be an chain
Each element of the chain would be

Struct free_area_struct {
 struct page *next;
 struct page *prev;                //      <- Free area element
 unsigned int *map;
 unsigned long count;
// +
struct page *next_in_chain;       //     <- pointer to the next free
area with the same size
 };

the old pointers would remain because the deallocation process need
them, to recombine them in larger blocks.

I am a linux code beginner, so I don't know how to put it on linux (and
keep it working too).
Are Anyone interested in try it?

Guilherme Carvalho

--------------10483FCF0A4ECC0FB6E89ADA
Content-Type: image/jpeg;
 name="arv-list.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: inline;
 filename="arv-list.jpg"
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--------------10483FCF0A4ECC0FB6E89ADA--

--
To unsubscribe, send a message with 'unsubscribe linux-mm' in
the body to majordomo@kvack.org.  For more info on Linux MM,
see: http://www.linux.eu.org/Linux-MM/