Multiobjective Optimization of SLA-Aware Service Composition
Source: University of Massachusetts
In Service Oriented Architecture, each application is often designed as a set of abstract services, which defines its functions. A concrete service(s) is selected at runtime for each abstract service to fulfill its function. Since different concrete services may operate at different Quality of Service (QoS) measures, application developers are required to select an appropriate set of concrete services that satisfies a given Service Level Agreement (SLA) when a number of concrete services are available for each abstract service. This problem, the QoS-aware service composition problem, is known NP-hard, which takes a significant amount of time and costs to find optimal solutions (optimal combinations of concrete services) from a huge number of possible solutions.