Autoscaled RabbitMQ Kubernetes Cluster on single-board computers

Donca, Ionut-Catalin; Corches, Cosmina; Stan, Ovidiu; Miclea, Liviu

doi:10.1109/aqtr49680.2020.9129886

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…In research [2] by Ionut-Catalin Donca and group, the proposed arrangement was set off by the requirement for measure computerization, setup, execution of programming and the assembly of frameworks. Robotization of frameworks diminishes the expense of developing rehash capable science measure foundations and adds to the reproducibility of examination contemplates.…”

Section: Literature Reviewmentioning

confidence: 99%

Infrastructure Optimization in Kubernetes Cluster

L¹,

Mahith²,

B³

2021

JUSST

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Kubernetes is a compact, extensible, open-source stage for overseeing containerized responsibilities and administrations, that works with both decisive setup and robotization. Kubernetes is like VMs, however having loosened up isolation properties to share the Operating System (OS) among the applications. The container conversely with VM, has its own document framework, a portion of Central Processing Unit(CPU), memory, process space, and much more. Kubernetes cluster is a bunch of node machines for running containerized applications. Each cluster contains a control plane and at least one node. Infrastructure Optimization is the process of analyzing and arranging the portion of cloud resources that power applications and workloads to augment the presentation and limit squander due to over-provisioning. In the paper, a “Movie Review System” web application is designed using GoLang for backend components and HTML, CSS, and JS for frontend components. Using AWS, an EC2 instance is created and the web application is deployed onto EC2 and hosted in the instance server. The web application is also deployed on Kubernetes locally using the MiniKube tool. A performance analysis is performed for both the deployments on considering common performance metrics for both AWS EC2 / Virtual Machine (VM) and Kubernetes.

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Section: Literature Reviewmentioning

confidence: 99%

Infrastructure Optimization in Kubernetes Cluster

L¹,

Mahith²,

B³

2021

JUSST

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“…Within the context of this paper, we will propose a performance analysis of the most widely used OS level tools, from now on called containerisation frameworks, such as Docker [5], [6], Kubernetes [7], and Linux Containers (LXC and LXD) [8]. We will assess their individual performance when operating in a single-node and their collective performance when operating within a cluster of nodes.…”

Section: Introductionmentioning

confidence: 99%

Can Software Containerisation Fit The Car On-Board Systems ?

Blanco,

Le Mouël,

Lin

et al. 2023

2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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As the automotive industry evolves towards interconnected and intelligent vehicles, the integration of complex electronic and software components has become paramount. However, this increased complexity brings new challenges in ensuring system safety, security, and life-cycle management. In this article, we focus on virtualisation (virt.), particularly containerisation (cont.), as a solution to mitigate integration stress in multi-node environments. We present a detailed review of the automotive constraints and ecosystem, along with the selection criteria for virt. technologies, justifying the scope of our study. Our main contribution is a two-phased evaluation of cont. tools. Firstly, we assess popular single-node container engines (Docker, Containerd, and Linux Containers LXC) based on CPU, RAM, and file I/O overhead over multiple hardware configurations. Secondly, we evaluate their multi-node scalability. The results show that Docker performs in average better than the other solutions for automotive on-board architectures.

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“…Idea lies beneath it is making a powerful HPC (High Power Computing) for specific needs. Such as for parallel computing [10] [11], as a cloud server [12] [13], and make a small but powerful computing on biomedic [14] [15]. Build Raspbery Pi cluster is cheaper option rather than build traditional server, with low power consumption.…”

mentioning

confidence: 99%

Design and Implementation LETS (Low Power Cluster Server) for Sustaining UMKM during Pandemic

Sidharta

Filipi

et al. 2021

KINETIK

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Covid pandemic is spreading since end 2019 arround globe, this resulting several countries suffer economic crisis. Due people movement restriction and international border is closed, impact halting on export and import. Indonesia with 267,7 million people manage to overcome global crisis during 1998 and 2008 with encourage small and local industry. According data from BPS, SME support 60% GDP with Rp 7,7 Billion and provide 85 million employment. To sustain SME during customer shifting behavior, we propose small cluster server called as LETS. LETS is modular, and composed with several Raspberry Pi 4, also consume few energies compared with traditional server. Although Raspberry Pi 4 is small size with few limitations, with lightweight application (ansible, k3s, and nginx) it can provide web server service. LETS provide handling traffic up to 742 simultaneus requests, which sufficient of SME requirement.

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Autoscaled RabbitMQ Kubernetes Cluster on single-board computers

Cited by 8 publications

References 14 publications

Infrastructure Optimization in Kubernetes Cluster

Infrastructure Optimization in Kubernetes Cluster

Can Software Containerisation Fit The Car On-Board Systems ?

Design and Implementation LETS (Low Power Cluster Server) for Sustaining UMKM during Pandemic

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