True random and adjustable memory management evaluation framework with Markov chain

机译：马尔可夫链的真正随机和可调内存管理评估框架

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摘要

Memory management evaluation test is one of the ways to understand the characteristic and performance of dynamic memory allocation algorithm. DMA is one of the RTOS parts that provide storage management when the applications are running. Nowadays there is a lot of memory management algorithm, and each algorithm has its own characteristics like the deterministic or nondeterministic algorithm. We develop a testing framework using Markov chain in order to test the allocation algorithm performance to fit the allocation behavior in RTOS. The framework generates various type of scenario test which can determine deterministic and nondeterministic of the algorithm based on the performance result. The result shows the impact of allocation size and allocation variation affect the allocation performance respond that generated by this framework.

机译：内存管理评估测试是了解动态内存分配算法的特性和性能的方法之一。 DMA是在应用程序运行时提供存储管理的RTOS部件之一。如今有很多内存管理算法，每种算法都有自己的特点，例如确定性或非确定性算法。我们使用马尔可夫链开发了一个测试框架，以测试分配算法的性能以适应RTOS中的分配行为。该框架生成各种类型的场景测试，可以根据性能结果确定算法的确定性和不确定性。结果表明分配大小的影响和分配变化会影响此框架生成的分配性能。

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来源
《2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing》|2017年|188-194|共7页
会议地点 Surabaya(ID)
作者
Alvin Syarifudin Shahab; Dadet Pramadihanto; Sritrustra Sukaridhoto; Adhe Widianjaya;
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作者单位

Department of Information and Computer Engineering, Electronic Engineering Polytechnic Institute Of Surabaya, Surabaya, Indonesia;

Department of Information and Computer Engineering, Electronic Engineering Polytechnic Institute Of Surabaya, Surabaya, Indonesia;

Department of Creative Multimedia, Electronic Engineering Polytechnic Institute Of Surabaya, Surabaya, Indonesia;

Department of Information and Computer Engineering, Electronic Engineering Polytechnic Institute Of Surabaya, Surabaya, Indonesia;

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原文格式 PDF
正文语种 eng
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关键词
Resource management; Memory management; Markov processes; Heuristic algorithms; Random access memory; Testing; Dynamic scheduling;

机译：资源管理;内存管理;马尔可夫过程;启发式算法;随机存取内存;测试;动态调度;;

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2. Simultaneous evaluation of abstinence and relapse using a Markov chain model in smokers enrolled in a two-year randomized trial [J] . Hung-Wen Yeh, Edward F Ellerbeck, Jonathan D Mahnken BMC Medical Research Methodology . 2012,第1期

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4. True random and adjustable memory management evaluation framework with Markov chain [C] . Alvin Syarifudin Shahab, Dadet Pramadihanto, Sritrustra Sukaridhoto, International Conference on Knowledge Creation and Intelligent Computing . 2017

机译：Markov链的真正随机和可调记忆管理评估框架
5. Stochastic Dynamics: Markov Chains, Random Transformations and Applications [D] . Ye, Xiaofeng. 2018

机译：随机动力学：马尔可夫链，随机变换及其应用
6. Simultaneous evaluation of abstinence and relapse using a Markov chain model in smokers enrolled in a two-year randomized trial [O] . Hung-Wen Yeh, Edward F Ellerbeck, Jonathan D Mahnken 2012

机译：在一项为期两年的随机试验中的吸烟者中使用马尔可夫链模型同时评估了禁欲和复发
7. Simultaneous evaluation of abstinence and relapse using a Markov chain model in smokers enrolled in a two-year randomized trial [O] . Hung-Wen Yeh, Edward F Ellerbeck, Jonathan D Mahnken 2012

机译：在一项为期两年的随机试验中的吸烟者中，使用马尔可夫链模型同时评估了禁欲和复发
8. Markov Chain Model for evaluating the effectiveness of randomized surveillance procedures. [R] . Edmunds, T. A. 1994

机译：马尔可夫链模型评估随机监测程序的有效性。

True random and adjustable memory management evaluation framework with Markov chain

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