Name
Abstract | ||
|---|---|---|
Complex computing systems are increasingly self-adaptive, with an autonomic computing approach for their administration. Real systems require the co-existence of multiple autonomic management loops, each complex to design. However their uncoordinated co-existence leads to performance degradation and possibly to inconsistency. There is a need for methodological supports facilitating the coordination of multiple autonomic managers. In this paper we propose a method focusing on the discrete control of the interactions of managers. We follow a component-based approach and explore modular discrete control, allowing to break down the combinatorial complexity inherent to the state-space exploration technique. This improves scalability of the approach and allows constructing a hierarchical control. It also allows re-using complex managers in different contexts without modifying their control specifications. We build a component-based coordination of managers, with introspection, adaptivity and reconfiguration. We validate our method on a multiple-loop multi-tier system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2602458.2602465 | CBSE |
Keywords | Field | DocType |
software reuse,methodologies,component dynamic adaptation,self- adaptive systems,autonomic computing,languages,au- tomated management,formal methods,control loops | Introspection,Autonomic computing,Systems engineering,Computer science,Combinatorial complexity,Real-time computing,Modular design,Formal methods,Computing systems,Control reconfiguration,Scalability | Conference |
Citations | PageRank | References |
11 | 0.57 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwenaël Delaval | 1 | 96 | 8.86 |
| Soguy Mak Karé Gueye | 2 | 11 | 0.57 |
| Éric Rutten | 3 | 255 | 30.50 |
| Noël De Palma | 4 | 69 | 5.46 |