Affiliation:
1. MİLLİ SAVUNMA ÜNİVERSİTESİ, HAVA HARP OKULU, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ, BİLGİSAYAR MÜHENDİSLİĞİ PR.
Abstract
Building a high-performance and scalable system has always been a challenge in tracking systems. At the root of this problem lies the excessive and real-time data overload. This paper aims to replace traditional approaches with big data approaches. In this study, a new big data ecosystem design for vehicle tracking system architecture is presented. The aim is to process real-time and extremely fast-generated location/tracking data very fast and increase the overall system performance. The process speed performance of the newly developed big data ecosystem is compared with the table query speed performance of a relational database. As a result of the comparison, the query speed of the big data ecosystem was found to be much faster than that of the relational database management system.
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