Autonomous Function Composition and Evolution for Information Network

2015 Fiscal Year Final Research Report

• Project/Area Number: 25280029
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Information network
• Research Institution: Osaka University
• Principal Investigator: Wakamiya Naoki 大阪大学, 情報科学研究科, 教授 (50283742)
• Co-Investigator(Kenkyū-buntansha): Arakawa Shin'ichi 大阪大学, 大学院情報科学研究科, 准教授 (20324741) ; Koizumi Yuki 大阪大学, 大学院情報科学研究科, 助教 (50552072)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 情報ネットワーク / 自己組織化制御 / ネットワーク制御 / 生物ダイナミクス / 遺伝的アルゴリズム

Outline of Final Research Achievements

Information networks have been introducing new or improved protocols one after another to satisfy diverse requirements of a variety of emerging applications. Consequently, current network systems have become considerably large, complex, and even fragile. In this work, to accomplish a sustainable
network system which autonomously adapts to diverse requests by dynamically generating necessary control mechanisms, we propose an autonomous function composition method. More specifically, each node has small pieces of networking functions, called function modules, and appropriately combines them to answer each service request. Combinations are refined taking into account the degree of satisfaction of users by a genetic algorithm. Through simulation experiments, we verify that our proposal can adapt to changes in requests in the multi-user environment.

Free Research Field

情報ネットワーク