| Penulis/Author |
Dani Adhipta, S.Si., M.T. (1); Prof. Ir. Selo, S.T., M.T., M.Sc, Ph.D., IPU, ASEAN Eng. (2); Widyawan, S.T., M.Sc., Ph.D. (3) |
| Abstrak/Abstract |
This paper is aimed to investigate the inner-
working of a high-performance computer (HPC) cluster
running as containers on the docker platform. Docker Swarm as
an orchestration tool is utilized to evaluate the scalability and
the issues encountered during testbed deployment. Docker
Swarm is a widely adopted open-source tool that enables the
creation and management of a swarm of Docker nodes and the
deployment and scaling of containerized applications across the
swarm. HPC clusters, on the other hand, are specialized
supercomputers that are designed to handle large and complex
computational workloads. The HPC cluster for the example, is
based on Mosix single system image (SSI) NUMA shared
memory running in containers. The integration of Docker
Swarm into HPC clusters would enable the orchestration of
containerized workloads, which would bring benefits such as
easier deployment, management of complex applications, and
enhanced scalability.
The technical issues encountered and the performance
examples under different workloads and scalability scenarios
are analyzed by comparing to the more traditional virtual
machine (VM). |
