63 citations · 104 across the 5 of their papers we have counts for
6 papers
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…
Two stage cluster for resource optimization with Apache Mesos
Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju +1
As resource estimation for jobs is difficult, users often overestimate their requirements. Both commercial clouds and academic campus clusters suffer from low resource utilization…
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…
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…
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…
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…