Name
Title | ||
|---|---|---|
An agent-based self-adaptation architecture for implementing smart devices in Smart Space |
Abstract | ||
|---|---|---|
Smart Space is a major currently challenging domain that includes ubiquitous, grid, and pervasive computing to provide intelligence, insight, and vision for emerging world of intelligent environment, products, services and human interaction. Smart Space consists of various objects (devices and applications) and, their extremely tight integration of and coordination between information world and physical resources. In Smart Space, people are allowed to acquire useful information and control devices anytime and anywhere with various smart devices. However the physical world where devices are deployed has much uncertainty and uncontrollable conditions, so that it is impossible to make devices suited to all situations. To achieve user satisfaction and overcome the system failure, devices in Smart Space must be dependable, secure, safe, and efficient, and operate in real-time. In addition, they must be scalable, cost-effective and adaptive. Especially, to deal with uncertainty and uncontrollable condition, devices in Smart Space could be more intelligent in the adaptation.In this paper, we propose an agent-based self-adaptation architecture for implementing smart devices in Smart Space. A self-adaptive smart device reasons about its state and environment, and adapts itself at runtime automatically and dynamically in response to changes. Also we present an adaptation mechanism used to implementing a self-adaptive system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11235-011-9547-8 | Telecommunication Systems |
Keywords | Field | DocType |
autonomic computing | Intelligent environment,Smart environment,Autonomic computing,Smart device,Smart system,Computer science,Real-time computing,Ubiquitous computing,Grid,Scalability | Journal |
Volume | Issue | ISSN |
52 | 4 | 1572-9451 |
Citations | PageRank | References |
5 | 0.43 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| In-geol Chun | 1 | 17 | 4.09 |
| Jeongmin Park | 2 | 28 | 11.46 |
| Hae Young Lee | 3 | 86 | 14.93 |
| Won-Tae Kim | 4 | 141 | 19.32 |
| Seung-Min Park | 5 | 161 | 20.24 |
| Eunseok Lee | 6 | 227 | 47.07 |