Cloud-Edge Archives - HPC4AI https://hpc4ai.unito.it/category/cloud-edge/ Mon, 18 Dec 2023 16:23:03 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.1 EasyCloud https://hpc4ai.unito.it/easycloud/ Mon, 11 Jan 2021 11:02:21 +0000 https://hpc4ai.unito.it/european-alliance-unita-universitas-montium-copy/2863/ The post EasyCloud appeared first on HPC4AI.

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EasyCloud

EasyCloud

EasyCloud is a text user interface written in Python able to interact with multiple cloud platforms, such as OpenStack, Amazon Web Services (AWS) and Google Cloud Platform (GCP).

With EasyCloud, a user can:

start/stop/clone a VM
manage floating IPs and volumes
monitor the VMs health status
gather metrics data from instances and send them into multiple sinks (e.g., save them in plain CSV files or in a Redis data store, or publish them to Apache Kafka)
create/manage policies in order to prevent faults (i.e., “if the CPU utilization is higher than XX %, then clone it”)

Contacts:
Massimo Canonico
SiteWeb: https://gitlab.di.unipmn.it/DCS/easycloud


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]]> StreamFlow Framework : Hybrid Cloud/HPC Workflows https://hpc4ai.unito.it/streamflow-framawork-hybrid-cloud-hpc-workflows/ Wed, 29 Apr 2020 14:57:53 +0000 https://hpc4ai.unito.it/advanced-algorithms-for-neuroscience-copy/2166/ The post StreamFlow Framework : Hybrid Cloud/HPC Workflows appeared first on HPC4AI.

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StreamFlow

StreamFlow Framework : Hybrid Cloud/HPC Workflows

The StreamFlow framework is a container-native Workflow Management System written in Python 3. It has been designed around two main principles: allowing the execution of tasks in multi-container environments, in order to support concurrent execution of multiple communicating tasks in a multi-agent ecosystem, and relaxing the requirement of a single shared data space, in order to allow for hybrid workflow executions on top of multi-cloud or hybrid cloud/HPC infrastructures.
StreamFlow source code is available on GitHub under the LGPLv3 license. Moreover, a Python package is downloadable from PyPI and Docker containers can be found on Docker Hub.

Web: https://streamflow.di.unito.it
Contact: Dr. Iacopo Colonnelli

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