most citedEvaluation of Docker Containers for Scientific Workloads in the Cloud

63 citations · 104 across the 6 of their papers we have counts for

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cs.PF2019

MultiCloud Resource Management using Apache Mesos for Planned Integration with Apache Airavata

Pankaj Saha, Madhusudhan Govindaraju, Suresh Marru +1

We discuss initial results and our planned approach for incorporating Apache Mesos based resource management that will enable design and development of scheduling strategies for Ap…

cs.PF2019★ 63 cited

Evaluation of Docker Containers for Scientific Workloads in the Cloud

Pankaj Saha, Angel Beltre, Piotr Uminski +1

The HPC community is actively researching and evaluating tools to support execution of scientific applications in cloud-based environments. Among the various technologies, containe…

cs.PF2019★ 20 cited

Exploring the Fairness and Resource Distribution in an Apache Mesos Environment

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Apache Mesos, a cluster-wide resource manager, is widely deployed in massive scale at several Clouds and Data Centers. Mesos aims to provide high cluster utilization via fine grain…

cs.PF2019★ 6 cited

Tromino: Demand and DRF Aware Multi-Tenant Queue Manager for Apache Mesos Cluster

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Apache Mesos, a two-level resource scheduler, provides resource sharing across multiple users in a multi-tenant cluster environment. Computational resources (i.e., CPU, memory, dis…

cs.PF2019★ 10 cited

Scylla: A Mesos Framework for Container Based MPI Jobs

Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju

Open source cloud technologies provide a wide range of support for creating customized compute node clusters to schedule tasks and managing resources. In cloud infrastructures such…