The intelligent memory allocator selector

作     者：Ulgen, Onur Avci, Mutlu 

作者机构：Cukurova Univ Fac Engn & Architecture Dept Comp Engn Adana Turkey Cukurova Univ Fac Engn & Architecture Dept Biomed Engn Adana Turkey 

出 版 物：《COMPUTER LANGUAGES SYSTEMS & STRUCTURES》 (计算机语言、系统与结构)

年 卷 期：2015年第44卷第PartC期

页      面：342-354页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Memory fragmentation Memory allocator Garbage collection Virtual machine 

摘      要：Memory fragmentation is a serious obstacle preventing efficient memory usage. Garbage collectors may solve the problem;however, they cause serious performance impact, memory and energy consumption. Therefore, various memory allocators have been developed. Software developers must test memory allocators, and find an efficient one for their programs. Instead of this cumbersome method, we propose a novel approach for dynamically deciding the best memory allocator for every application. The proposed solution tests each process with various memory allocators. After the testing, it selects an efficient memory allocator according to condition of operating system (OS). If OS runs out of memory, then it selects the most memory efficient allocator for new processes. If most of the CPU power was occupied, then it selects the fastest allocator. Otherwise, the balanced allocator is selected. According to test results, the proposed solution offers up to 58% less fragmented memory, and 90% faster memory operations. In average of 107 processes, it offers 7.16 +/- 2.53% less fragmented memory, and 1.79 +/- 7.32% faster memory operations. The test results also prove the proposed approach is unbeatable by any memory allocator. In conclusion, the proposed method is a dynamic and efficient solution to the memory fragmentation problem. (C) 2015 Elsevier Ltd. All rights reserved.