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Spatial Skyline Query Based on Surrounding Environment Untuk Data Streaming Menggunakan Apache-Spark

1Program Studi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional, Indonesia

2Department of Agricultural Industrial Technology, Bogor Agricultural University, Kampus IPB, Jl. Raya Dramaga, Babakan, Kec. Dramaga, Kota Bogor, Jawa Barat 16680, Indonesia

3Department of Computer Science, Bogor Agricultural University, Kampus IPB, Jl. Raya Dramaga, Babakan, Kec. Dramaga, Kota Bogor, Jawa Barat 16680, Indonesia

4 Department of Informatic, Universitas Nasional, Jl. Sawo Manila No.61, RT.14/RW.7, Pejaten Bar., Kec. Ps. Minggu, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12520, Indonesia

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Received: 19 Jul 2021; Published: 30 Apr 2022.
Open Access Copyright (c) 2022 Raden Muhamad Firzatullah
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Previous research on Spatial Skyline Query Based on Surrounding Environment left a challenge in finding skyline objects that support the use of mobile devices. This study introduces a method that allows users to search for spatial objects dynamically. Cloud-based streaming data services are currently available to support the dynamic search of spatial skyline objects. Under these conditions, streaming data requires a longer processing time. This study aims to examine the effectiveness and efficiency of Apache-Spark in developing Spatial Skyline Query Based on Surrounding Environment in processing streaming data. Further implementation of the developed algorithm can provide better location access for users on mobile devices. Comparative analysis of algorithm execution time is performed by comparing algorithm processing on a single processor and cluster computing using various evaluation parameters. The test results on each parameter show that the computation time of the proposed algorithm on a single computation is not as good as the previous algorithm. However, in cluster computing, the proposed algorithm is superior
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Keywords: Skyline Query; Data Streaming; Spatial Object; Apache-Spark; Cluster Computing

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