| Co-Investigator(Kenkyū-buntansha) |
吉岡 信和 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (20390601)
鄭 顕志 早稲田大学, 理工学術院, 准教授(任期付) (40434295)
石川 冬樹 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (50455193)
胡 振江 国立情報学研究所, アーキテクチャ科学研究系, 教授 (50292769)
|
|---|
| Budget Amount *help |
¥43,940,000 (Direct Cost: ¥33,800,000、Indirect Cost: ¥10,140,000)
Fiscal Year 2021: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
Fiscal Year 2020: ¥9,750,000 (Direct Cost: ¥7,500,000、Indirect Cost: ¥2,250,000)
Fiscal Year 2019: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2018: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
Fiscal Year 2017: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
|
|---|
| Outline of Final Research Achievements |
Systems are exposed to a wide variety of environmental changes that occur in the real world. In order to tolerate changes in the real-world environment during execution quickly and flexibly, and to maintain a wide variety of qualities such as availability, responsiveness, security, and robustness, automated adaptation using runtime information is required. To support the development of self-adaptive systems, runtime modeling techniques have been developed to maintain the models used during development at runtime, and to make decisions on system configuration changes based on models that reflect information during execution. In this study, we develop a runtime modeling technology and framework that cooperatively handles models from multiple viewpoints by extending the runtime modeling framework that has traditionally handled only the quality of a single viewpoint.
|
