Dynamic customization of data structures instances using an agent based approach

被引：1
作者：
Czibula, Istvan Gergely [1 ]
Czibula, Gabriela [1 ]
Guran, Adriana Mihaela [1 ]
机构：
[1] Univ Babes Bolyai, Dept Comp Sci, Cluj Napoca 400084, Romania
来源：
11TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2009) | 2009年
关键词：
data structure; machine learning; agent-based system; SELECTION;
D O I：
10.1109/SYNASC.2009.25
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The Abstract data types (ADTs) represent the core for any software application, and a proper use of them is an essential requirement for developing a robust and efficient system. Moreover, a proper instantiation of a data structure that implements an abstract data type can greatly impact the performance of the system. In this paper we propose a learning approach for the dynamic configuration of data structures instances in a software system. In order to adapt a data structure to the system's current execution context, a neural network will be used and an agent based system is proposed. We experimentally evaluate our system on a case study, emphasizing the advantages of the proposed approach.
引用
收藏
页码：341 / 347
页数：7
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