Abstract
In collaboration with COSMC it has been prepared new tests of WMS services which focus on two main aspects: a) Monitoring the availability of WMS related with records of errors, and continuous monitoring of response quickness and other performance parameters. Test period was two months. For each layer are specified scale and location in the map and other parameters in requirements generated by the client. The evaluation utilizes average, maximum and minimum execution requirement times, the overall performance of the tested application, the error rate of approaches and the average bandwidth in the access. b) Stress tests, which were carried out during the holidays to simulate the high server performance and its behavior under such conditions. Tests help determine the physical limits of system performance. The aim of both versions of tests is to evaluate the availability, performance characteristics and stress behavior of this service from the client's perspective. Results of the client-side testing are evaluated together with analysis of server’s logs. Results of performance and stress tests confirm that management capacity and performance criteria of the INSPIRE directive. Internal server error is at a very low level, client-side error rates are continually recorded from 3 to 5%. Ill. 7, bibl. 14, tabl. 2 (in English; abstracts in English and Lithuanian).DOI: http://dx.doi.org/10.5755/j01.eee.119.3.1367
Highlights
A spatial data infrastructure is based on network services
In this paper we propose an innovative way how to test and measure the availability of network view services of web map services (WMS) for end users
The INSPIRE Directive for assessing the quality of network service sets the minimum number of requirements simultaneously viewing service to 20 requests per second
Summary
A spatial data infrastructure is based on network services. Quality of services (QoS) according to the INSPIRE directive follows the three aspects - performance, capacity and availability of services [1]. For the purpose to meet QoS demands, even in the case of accesses as many users as possible, respectively sending the maximum number of requests, it is necessary to use monitoring tools to observe network status for the subsequent evaluation, performance analysis of network behavior at certain time and based on it to provide feedback to a management system [2]. Besides evaluation of the content and function capabilities it is necessary to measure availability of the service and its performance. The availability is given by quality of data packet transmission, which is primarily a function of data packet loss [3]. The main cause of data loss in systems is a network failure [4]
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