Design of Control Architecture for Information Systems Based on Hierarchical Structures of Time Scales
Project/Area Number |
21300027
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Computer system/Network
|
Research Institution | Tokyo Metropolitan University |
Principal Investigator |
AIDA Masaki 首都大学東京, システムデザイン研究科, 教授 (60404935)
|
Co-Investigator(Kenkyū-buntansha) |
IMASE Makoto 大阪大学, 情報科学研究科, 教授 (30346176)
MURATA Masayuki 大阪大学, 情報科学研究科, 教授 (80200301)
TAKANO Chisa 広島市立大学, 情報科学研究科, 准教授 (60509058)
TADA Harumasa 京都教育大学, 教育学部, 准教授 (10301277)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2011: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2010: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2009: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
|
Keywords | 局所相互作用 / 情報システム / 情報通信工学 / 自己組織化 / 自律分散制御 |
Research Abstract |
This research employs the nature-inspired approach to investigate the ideal architecture of communication networks as large-scale and complex systems. Conventional architectures are hierarchical with respect to the functions of network operations due entirely to implementation concerns and not to any fundamental conceptual benefit. In contrast, the large-scale systems found in nature are hierarchical and demonstrate orderly behavior due to their space/time scale dependencies. In this research, by examining the fundamental requirements inherent in controlling network operations, we clarify the hierarchical structure of network operations with respect to time scale. This research also describes an attempt to build a new network architecture based on the structure. In addition, as an example of the hierarchical structure, we apply the quasi-static approach to describe user-system interaction, and we describe a hierarchy model developed on the renormalization group approach.
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Report
(4 results)
Research Products
(73 results)