Abstract
Service system is currently facing environmental complexity problems, such as the need of a distributed, heterogeneous, decentralized, and interdependent system which operatesdynamically and unpredictably. This condition requires the service system to have an ability to adapt in order to realize sustainable functions. The success of service adaptation is determined by its ability to handle variability at runtime. The purpose of this research is to realize service flexibility through variability modeling, which is an extension of previous work to enrich the adaptability view. The methodology was developed through the monitor-analyse-plan-execute-knowledge control loops approach integrated into the adaptive service (service level) element within the adaptive enterprise service system metamodel based on goal-oriented requirements engineering. Service adaptation scenario was prepared through proactive and reactive adaptation mechanisms. For evaluation, the model was applied to the case of a configuration management system. The experimental results showed that the model is able to adapt to runtime variability and accomodates the growth of the service component items shown by the description of the system scalability. The proposed model has a better alternative design in analyzing variability with a total response that can be applicable in normal operations and overload. It also meets the expected level (level-5: adapting) of the adaptive capability maturity model as a standard for assessment of a service system adaptation.
Highlights
The service system has become an important part in various activities, where different elements of the real-world system can interact with the system
This paper introduces an adaptation model to address service variability
The lifecycle of each service element within the adaptive enterprise service system (AESS) metamodel is formulated as a control loop (MAPE-K) pattern based on the description of CONCLUSION AND FUTURE WORK
Summary
The service system has become an important part in various activities, where different elements of the real-world system can interact with the system. The involvement of various elements and activities raises the issue of complexity in its development, for example the characteristics of system entities related to rapid organization growth, hardware ubiquitous, the dynamic and unpredictable environment, etc These conditions require the service system to have an ability to adapt to environmental characteristics and uncertainty at runtime. This research extends the capability of the adaptability view, where the service flexibility factor becomes the main focus so that the system is able to adapt to the services requirements provided by both external and internal parties. Providing these services will address the runtime variability and growth of service items
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