engleski

LIS in the Era of BDMS, Distributed and Cloud Computing: Is it Time for a Complete Redesign?

For over four decades, traditional relational database management systems (DBMS)have been the leading technology for data storage, retrieval and management. However, they were designed in a different hardware and software era and are facing challenges in meeting the performance and scale requirements of distributed data- intensive applications, including Big Data. These traditional database management systems are not designed to take advantage of distributed and cloud computing. They support vertical (scale-up) rather than horizontal (scale-out) scalability, which is more common in distributed systems and applications. Due to increasing needs for scalability and performance, alternative systems have emerged: NoSQL and NewSQL database management systems. Distributed computing and share-nothing architecture became very popular during the last decade. At the same time, cloud computing has emerged as a computational paradigm for on-demand network access to a shared pool of computing resources. Proliferation of open-source and commercial distributed data management systems and cloud computing platforms makes building distributed, data- intensive applications and systems in the land administration domain easier than ever before. In this paper, we present the main features of a new class of emerging DBMSs, namely NoSQL and NewSQL, from the data management perspective with a particular focus on distributed computing and share-nothing architecture. We also briefly present a simple taxonomic classification of DBMSs for choosing a DBMS in building land information systems (LIS) and applications, and two LIS prototypes built on NoSQL BDMS and NewSQL DBMS.

BDMS, Blockchain, CAP theorem, Distributed Computing, LIS, NewSQL, NoSQL

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