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All Journal PROSIDING SEMINAR NASIONAL Autotech: Jurnal Pendidikan Teknik Otomotif Universitas Muhammadiyah Purworejo E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer MANAJEMEN Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Journal of Engineering, Electrical and Informatics (JEEI) Jurnal Universal Technic Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Publikasi Ilmu Manajemen Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Sains dan Ilmu Terapan Jurnal Sistem Informasi dan Ilmu Komputer Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Jurnal Elektronika dan Teknik Informatika Terapan Journal of Technology Informatics and Engineering Seminar Nasional Teknologi dan Multidisiplin Ilmu Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi International Journal of Computer Technology and Science International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science Jurnal Bengawan Solo: Pusat Kajian Penelitian dan Pengembangan Daerah Kota Surakarta Systematic Literature Review Journal Journal of New Trends in Sciences Router : Jurnal Teknik Informatika dan Terapan
Danang Danang
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Journal : Journal of Technology Informatics and Engineering

 1 
BLACK BOX APPROACH TO MONITORING CONTAINER MICROSERVICES IN FOG COMPUTING Danang Danang; Nuris Dwi Setiawan; Indra Ava Adianta
Journal of Technology Informatics and Engineering Vol 1 No 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.141

Abstract

In recent years IoT has developed very rapidly. IoT devices are used to monitor and control physical objects to transform the physical world into intelligent spaces with computing and communication capabilities. Compared to cloud computing, fog computing is used to support latency-sensitive applications at the edge of the network which allows client requests to be processed faster. This study aims to propose a monitoring framework for containerized black box microservices in a fog computing environment to evaluate CPU overhead, as well as to determine the operating status, service characteristics, and dependencies of each container. This study proposes a monitoring framework to integrate computing resource usage and run-time information from service interactions using a black box approach that seeks to integrate service-level information and computing resource information into the same framework. The proposed framework is limited to observing information monitoring after the server receives a request. This study uses JMeter to simulate user actions, which send requests to the server, and this research assumes the user knows the IP address of the server. For container monitoring methods in fog computing, all are indirect monitoring methods. The results of this study indicate that the proposed framework can provide operational data for visualization that can help system administrators evaluate the status of running containers using a black box approach. System administrators do not need to understand and modify target microservices to gather service characteristics from containerized microservices. Regarding future research, it is suggested to expand the exploration of modified system information, and that part of the container management tool code can be pre-tried so that the framework proposed in this study can provide real-time quantitative indexes for the load balancing algorithm to help optimize the load balancing algorithm.
BLACK BOX APPROACH TO MONITORING CONTAINER MICROSERVICES IN FOG COMPUTING Danang Danang; Nuris Dwi Setiawan; Indra Ava Adianta
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.141

Abstract

In recent years IoT has developed very rapidly. IoT devices are used to monitor and control physical objects to transform the physical world into intelligent spaces with computing and communication capabilities. Compared to cloud computing, fog computing is used to support latency-sensitive applications at the edge of the network which allows client requests to be processed faster. This study aims to propose a monitoring framework for containerized black box microservices in a fog computing environment to evaluate CPU overhead, as well as to determine the operating status, service characteristics, and dependencies of each container. This study proposes a monitoring framework to integrate computing resource usage and run-time information from service interactions using a black box approach that seeks to integrate service-level information and computing resource information into the same framework. The proposed framework is limited to observing information monitoring after the server receives a request. This study uses JMeter to simulate user actions, which send requests to the server, and this research assumes the user knows the IP address of the server. For container monitoring methods in fog computing, all are indirect monitoring methods. The results of this study indicate that the proposed framework can provide operational data for visualization that can help system administrators evaluate the status of running containers using a black box approach. System administrators do not need to understand and modify target microservices to gather service characteristics from containerized microservices. Regarding future research, it is suggested to expand the exploration of modified system information, and that part of the container management tool code can be pre-tried so that the framework proposed in this study can provide real-time quantitative indexes for the load balancing algorithm to help optimize the load balancing algorithm.
Co-Authors Agus Priyadi Agustinus Budi Santoso Ahmad Ashifuddin Aqham Ahmad Zainudin Aldo Raditya Pangestu Andik Prakasa Hadi Arie Atwa Magriyanti Budi Santoso Dani Sasmoko Daniel Rudjiono Dendy Kurniawan Dewi Retno Putri Eka Satria Wibawa Ekky Fredyan Eko Siswanto Eko Siswanto Eni Muhadi Fa`iq Khotibul Umam Febryantahanuji Febryantahanuji Greget Widhiati Hanif Assabib Rosyid Hendri Rasminto Iman Saufik Suasana Indra Ava Adianta Indra Ava Dianta Joseph Teguh Santoso Kenny Setiawan Khoirur Rozikin Kusumajaya, Robby Andika Laily Eka Andrianni Lilis Suryani Mat Toyib Maya Utami Dewi Muhamad Khoirul Umam Muhammad Ainun Najib Muhammad Fauzi Alfikri Mukhammad Ibnu Khalim NUR FAUZIAH Nuris Dwi Setiawan PADJAR SETYO BUDI Priyadi Priyadi Priyo Wibowo Puteri Anindya Maulan Raden Mohamad Herdian Bhakti Rizky Ni'ma Febriani Siswanto Siswanto Siswanto Siswanto Siswanto, Edy Siti Kholifah Sulartopo Sulartopo Suprapti Suprapti Suwardi Suwardi Tanveer Shah Teguh Setiadi Toni Wijanarko Adi Putra Uswatul Chasanah Widya Aryani Wijaya Heti Susanti Zaenal Mustofa Zellius Ragiliawan