MPI to Go: Container Clusters for MPI Applications

Steffenel, Luiz Angelo; Charão, Andrea Schwertner; Alves, Bruno da Silva; Araujo, Lucas R. de; Silva, Lucas F. da

doi:10.1007/978-3-030-49432-2_10

Cited by 3 publications

(1 citation statement)

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“…These studies concluded that a low-power cluster may achieve performance and energy efficiency despite hardware limitations. In addition, a number of works reported performance of container-based solutions for HPC applications such as Singularity [ 16 ], LXC [ 17 ], and Docker with orchestration [ 18 – 20 ]. In [ 21 ], the authors compared two orchestration tools and showed that Docker Swarm outperformed Kubernetes in resource usage and performance efficiency on a Raspberry Pi 3 cluster.…”

Section: Related Workmentioning

confidence: 99%

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

Silva

Lima

2023

J Supercomput

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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.

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Section: Related Workmentioning

confidence: 99%