While performing their duties, public institutions need the data of other public institutions. These needed data are provided instantly by using web services, as public institutions carry out many business processes through web applications. Data received via web services can also be used in critical business processes of public institutions. For computer applications that perform critical business processes, the outage tolerance period can be very short. For such applications, the detection time of outages in web services due to hardware failures or network disconnections is an important issue. In this study, a management model for the management of outages for web services used in data sharing between public institutions is presented. The said management model includes methods for shortening the detection time of unplanned outages. Within the scope of the study, a simulation environment has been prepared for the management model and a software called Central Web Service Management System, web services integrated into this software, and Windows services, which will automatically perform queries from the relevant web services at certain periods, have been developed as simulation environment components. At the end of the study, the benefits of the proposed methods for detecting unplanned outages in terms of shortening the detection time of outages were analyzed. As a result, it has been determined that unplanned outages are detected in a significantly shorter time than traditional methods with the methods suggested within the scope of the study. |