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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Go Infotech: Jurnal Ilmiah STMIK AUB International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Informatika Ekonomi Bisnis Budimas : Jurnal Pengabdian Masyarakat MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat MANAJEMEN Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) INFORMATIKA JURNAL AKUNTANSI DAN BISNIS Jurnal Manajemen Informatika & Teknologi Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Jurnal Informatika Ekonomi Bisnis Journal of Technology Informatics and Engineering J-DEPACE (Journal of Dedication to Papua Community) Jurnal Pengabdian Masyarakat Jurnal Riset Sistem Informasi International Journal of Information Engineering and Science Go Infotech: Jurnal Ilmiah STMIK AUB Jurnal Pengabdian Kepada Masyarakat Indonesia Jurnal Informatika Dan Tekonologi Komputer JURNAL PERKIVI Journal of Engineering, Electrical and Informatics Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Big Data Analytics and Data Science
Indra Ava Dianta
Universitas Sains Dan Teknologi Komputer
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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 : Universitas Sains dan Teknologi Komputer

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.
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 Ade David Ajiwijaya Adriana, Myra Agus Priyadi Agustinus Budi Santoso Agustinus Budi Santoso Ahmad Ashifuddin Aqham Ahmad Zaenudin Ahmad Zainudin Ahmad Zainudin Amad Maijun Amad Maijun Amalia Nur Risa Purnamasari Andik Prakasa Hadi Andik Prakasa Hadi Andreas Tigor Oktaga, Andreas Andriana, Myra Aqnes Wulandari Arie Atwa Magriyanti Arie Yuniarta Ashifuddin Aqham, Ahmad Ayu Agsya Bagus Sudirman Bagus Sudirman Bayu Anggoro Tirta Kencana Budi Hartono Budi Hartono budi hartono Budi Raharjo Danang Danang Danang Danang Danang, Danang Dendy Kurniawan Dendy Kurniawan Desy Setyowati Devi Ayu Indriyani Dewi Widyaningsih Dewi Widyaningsih Dwi Setiawan Dwi Setiawan Dwi Setiawan Edwin Zusrony Edy Jogatama Purhita Edy Siswanto Eka Nuryanto Budi Susila Eka Pradana , Yudha Eko Siswanto Eko Siswanto Endang Kustami Fatkhul Amin Fransisca Khurnia Erkhani Fransisca Khurnia Erkhani Greget Widhiati Greget Widhiati Haris Ihsanil Huda Haryo Kusumo Hendri Rasminto Ida Hendriyani Ihsanil Huda, Haris Ilham Ramasyahdani Jarot Dian Susatyono Kusumaningtyas, Dhevi Dadi Kusumo, Haryo Laksamana Rajendra Haidar Azani Fajri Magriyanti, Arie Atwa Moh Muthohir Moh Muthohir Moh. Muthohir Muh Sabiq Nuris Dwi Setiawan Nuris Dwi Setiawan Nusril Nusril Priyadi Priyadi Ratnaningrum Reni Veliyanti Salman Al Farizi Selli Selfiyanti Setiawan, Nuris Dwi Sherly Dwi Ditzi Savitri Sinaga, Herty Ramayanti Siti Kholifah Siti Kholifah Sri Arttini Dwi Prasetyawati SRI LESTARI sudirman, bagus Tantik Sumarlin . Tanzila Azizah Rahmi Teguh Setiadi Thelsi Seubelan Thelsi Seubelan Tofani Wulandari Vera Sari Gunawan Wicaksono, Jentoro Widya Ariyani Winarto, Yudha Yuli Fitrianto