Name
Abstract | ||
|---|---|---|
The service-oriented architecture (SOA) allows distributed resources to be provided through standard service interfaces, resulting in easy and flexible access to domain-specific functionality. Depending on resource availability and the demand for services, a service-providing host may choose to provide one or several services in the direction of maximizing its service-providing utility. This is known as the service provision control (SPC) problem. With the help of stochastic differential equations (SDEs), this problem will be tackled in this paper within a stochastic optimization framework. Differential evolution (DE) algorithm will be further utilized to identify near-optimal service-providing policies. Experimental study has been conducted based on an example inspired by Cyber security. The experiment results show that our approach is effective in tackling the SPC problem and may be therefore suitable for many practical applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34475-6_32 | ICONIP (1) |
Keywords | Field | DocType |
stochastic optimization framework,service-providing utility,service-providing host,cyber security,standard service interface,differential evolution,sde-driven service provision control,stochastic differential equation,spc problem,service provision control,near-optimal service-providing policy | Architecture,Service provision,Stochastic optimization,Computer science,Differential evolution,Stochastic differential equation,Artificial intelligence,Management science,Machine learning,Distributed computing | Conference |
Volume | ISSN | Citations |
7663 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Chen | 1 | 48 | 16.42 |
| Shaoning Pang | 2 | 711 | 52.69 |
| Abdolhossein Sarrafzadeh | 3 | 134 | 22.64 |
| Tao Ban | 4 | 102 | 25.58 |
| Daisuke Inoue | 5 | 37 | 4.74 |