Recover Data about Detected Defects of Underground Metal Elements of Constructions in Amazon Elasticsearch Service

Abstract

This paper examines data manipulation in terms of data recovery using cloud computing and search engine. Accidental deletion or problems with the remote service cause information loss. This case has unpredictable consequences, as data must be re-collected. In some cases, this is not possible due to system features. The primary purpose of this work is to offer solutions for received data on detected defects of underground metal structural elements using modern information technologies. The main factors that affect underground metal structural elements' durability are the soil environment's external action and constant maintenance-free use. Defects can usually occur in several places, so control must be carried out along the entire length of the underground network. To avoid the loss of essential data, approaches for recovery using Amazon Web Service and a developed web service based on the REST architecture are considered. The general algorithm of the system is proposed in work to collect and monitor data on defects of underground metal structural elements. The result of the study for the possibility of data recovery using automatic snapshots or backup data duplication for the developed system.