A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF

Steffenel, Luiz Angelo; Charão, Andrea Schwertner; Alves, Bruno da Silva

doi:10.5220/0007799705610568

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A system similar to ours in architectural terms as a Raspberry Pi-based implementation of an application system has been introduced in [68]. The authors introduce a containerized cluster based on single-board devices that is tailored towards applications that process and compute large amounts of data.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

Gand

Fronza

Ioini

et al. 2021

Communications in Computer and Information Science

View full text Add to dashboard Cite

The edge or edge computing refers to the computational infrastructure between sensors and Internet-of-Things world on the one side and centralised cloud data centres on the other. Edge clusters could consist of small single-board devices, which are widely used in different applications. This includes microcontrollers regulating an industrial process or controllers monitoring and managing traffic roadside. Although generally hardware capabilities of devices are growing, resources at the edge are often still limited, requiring an intelligent resource management. This can done through self-adaptive scaling mechanisms in these clusters allowing to scale components of the application in the cluster. We introduce here an auto-scalable cluster architecture for lightweight container-based edge devices. A serverless architecture forms the core of this architecture. The auto-scaling component is based on fuzzy logic in order to better manage uncertainty problems arising in such contexts. Our evaluations show that our platform architecture and the auto-scaling functionality satisfy the need of lightweightness in edge architecture.

show abstract

Section: Related Workmentioning

confidence: 99%

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

Gand

Fronza

Ioini

et al. 2021

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

MPI to Go: Container Clusters for MPI Applications

Steffenel

Charão

Alves

et al. 2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

An evaluation of relational and NoSQL distributed databases on a low-power cluster

Silva

Lima

2023

J Supercomput

View full text Add to dashboard Cite

The constant growth of social media, unconventional web technologies, mobile applications, and Internet of Things (IoT) devices create challenges for cloud data systems in order to support huge datasets and very high request rates. NoSQL databases, such as Cassandra and HBase, and relational SQL databases with replication, such as Citus/PostgreSQL, have been used to increase horizontal scalability and high availability of data store systems. In this paper, we evaluated three distributed databases on a low-power low-cost cluster of commodity Single-Board Computers (SBC): relational Citus/PostgreSQL and NoSQL databases Cassandra and HBase. The cluster has 15 Raspberry Pi 3 nodes with Docker Swarm orchestration tool for service deployment and ingress load balancing over SBCs. We believe that a low-cost SBC cluster can support cloud serving goals such as scale-out, elasticity, and high availability. Experimental results clearly demonstrated that there is a trade-off between performance and replication, which provides availability and partition tolerance. Besides, both properties are essential in the context of distributed systems with low-power boards. Cassandra attained better results with its consistency levels specified by the client. Both Citus and HBase enable consistency but it penalizes performance as the number of replicas increases.

show abstract

A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF

Cited by 5 publications

References 0 publications

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

Fuzzy Container Orchestration for Self-adaptive Edge Architectures

MPI to Go: Container Clusters for MPI Applications

An evaluation of relational and NoSQL distributed databases on a low-power cluster

Contact Info

Product

Resources

About