An Efficient Aviation Model for Air Transport Regulation using Nosql
Lydia J Ganansigamani1, Cynthia Jayapal2, H. Parveen Sultana3, Monisha K4
1Lydia J Ganansigamani, School of Computer Science and Engineering, VIT University, Vellore (Tamil Nadu), India.
2Cynthia Jayapal, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3H. Parveen Sultana, School of Computer Science and Engineering, VIT University, Vellore (Tamil Nadu), India.
4Monisha K, School of Computer Science and Engineering, VIT University, Vellore (Tamil Nadu), India.
Manuscript received on 09 September 2019 | Revised Manuscript received on 18 September 2019 | Manuscript Published on 11 October 2019 | PP: 191-196 | Volume-8 Issue-11S September 2019 | Retrieval Number: K104009811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1040.09811S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The rapid growth of data in all fields makes NoSQL database spectacular in the recent times. NoSQL gives the efficient storing of the huge volume of information in a data warehouse. The NoSQL server provides horizontal scalability and retrieval of data in the very prominent way. These features make the NoSQL database meaningfully increase in the real-time applications relating to the web services. Handling of extensive data in different areas makes sense of NoSQL. This work particularly uses the aviation data frame describing the operations being taking part in the aircraft systems such as productions and developments. The stable growth in aviation department leads to the global development. Hence risk is analyzed in all aspects. The branches of aviation are public aviation, general aviation, and defense aircraft keeps generating extensive records from the various third parties. These files which are in Gigabytes (GB) and Terabytes (TB) are stored in the databases for many practical applications. The data generated in various aviation departments are handled using document store NoSQL. The aviation framework using document store enables the accessing and storing information in the NoSQL database server efficiently with recovering the deleted data from the MongoDB data file structure. This work focuses on using aggregation operation to retrieve the data in an efficient manner and Mongo index B-tree algorithm where insertion, deletion, sequential access, and searches are done in logarithmic time.
Keywords: NoSQL, MongoDB, B-tree Algorithm.
Scope of the Article: Routing and Transport Protocols