English

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

Performance 2020-10-07 v2 Distributed, Parallel, and Cluster Computing

Abstract

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 Apache Airavata jobs so that they can be launched on multiple clouds, wherein several VMs do not have Public IP addresses. We present initial work and next steps on the design of a meta-scheduler using Apache Mesos. Apache Mesos presents a unified view of resources available across several clouds and clusters. Our meta-scheduler can potentially examine and identify the cases where multiple small jobs have been submitted by the same scientists and then redirect job from the same community account or user to different clusters. Our approach uses a NAT firewall to make nodes/VMs, without a Public IP, visible to Mesos for the unified view.

Keywords

Cite

@article{arxiv.1906.07312,
  title  = {MultiCloud Resource Management using Apache Mesos for Planned Integration with Apache Airavata},
  author = {Pankaj Saha and Madhusudhan Govindaraju and Suresh Marru and Marlon Pierce},
  journal= {arXiv preprint arXiv:1906.07312},
  year   = {2020}
}

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