Implementasi dan Analisis Computer Clustering System pada Video on Demand (VoD) Menggunakan Virtualisasi Docker
AbstractThe development of information technology is currently increasing, one of which is virtualization. In building a service, developers usually use Full virtualization and Paravirtualization virtualization techniques. But the virtualization technique is not effective and uses up a lot of resources. With container technology, it will be more effective and lightweight compared to other virtualization techniques because container technology only isolates libraries and applications that will be run. While virtualization must isolate all components such as hardware, kernel, operating system, and others. To build a service using containers, cluster orchestration software is needed, one of which is Kubernetes. Kubernetes is an open source cluster management application. The application is an internal application used by Google namely Borg to manage its distribution system. Therefore, this research will implement and analyze a computer clustering system using docker virtualization. Based on the results of testing using 2 active worker s has an average throughput of 222,72 kBps, latency of 5.67 ms and compilation using 3 worker s that have an effective throughput of 325,82 kBps, latency of 5.51 ms. The results of testing on video services as requested shows that the number of workers increases, the service will be better.
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.