Name
Abstract | ||
|---|---|---|
A framework for assessing the robustness of long-duration repetitive orchestrations in uncertain evolving environments is proposed. The model assumes that service-based evaluation environments are stable over short time-frames only; over longer periods service-based environments evolve as demand fluctuates and contention for shared resources varies. The behaviour of a short-duration orchestration E in a stable environment is assessed by an uncertainty profile U and a corresponding zero-sum angel-daemon game Gamma(U) [2]. Here the angel-daemon approach is extended to assess evolving environments by means of a subfamily of stochastic games. These games are called strategy oblivious because their transition probabilities are strategy independent. It is shown that the value of a strategy oblivious stochastic game is well defined and that it can be computed by solving a linear system. Finally, the proposed stochastic framework is used to assess the evolution of the Gabrmn IT system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-20807-7_12 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Orchestrations,Uncertainty,Zero-sum games,Stochastic games | Well-defined,Linear system,Computer science,Robustness (computer science),Theoretical computer science,Artificial intelligence,Zero-sum game,Orchestration (computing),Periodic graph (geometry),Machine learning,Distributed computing,Stochastic game | Conference |
Volume | ISSN | Citations |
9161 | 0302-9743 | 2 |
PageRank | References | Authors |
0.50 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge Castro | 1 | 23 | 3.92 |
| Joaquim Gabarró | 2 | 197 | 28.76 |
| Maria J. Serna | 3 | 473 | 70.53 |
| Alan Stewart | 4 | 161 | 23.50 |