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Combined use of HPC resources and grid infrastructures with Everest ...
Sep 28, 2015 - HPC resources and grid infrastructures with Everest cloud platform. Oleg Sukhoroslov. Institute for Information Transmission Problems (Moscow ...
Network Computing & Supercomputing Workshop, Russian Supercomputing Days 2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform Oleg Sukhoroslov Institute for Information Transmission Problems (Moscow, Russia)
Motivation Researchers
Applications 28.09.2015
Computing Resources
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Everest ●
●
Web-based platform supporting –
Publication of computational applications as services
–
Binding applications to external computing resources
–
Running applications on arbitrary sets of resources
–
Sharing applications and resources with other users
http://everest.distcomp.org/
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Everest Architecture
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Supported Applications ●
●
●
Command –
Generic skeleton to publish existing applications
–
Single task
Parameter Sweep –
Generic application to run parameter sweep experiments
–
Experiment is described using declarative syntax
–
Many independent tasks
Workflow –
Described using Python API
–
Many dependent jobs
–
Publication as a service (work in progress)
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Ad-hoc Computing Infrastructures ●
Combination of available resources/infrastructures –
●
●
●
Local servers and clusters, shared supercomputing centers, grid infrastructures, clouds, volunteer resources
Suitable for –
HTC and MTC applications (parameter sweep, workflows)
–
Load balancing
Personal (user-level) or shared (project-level) ad-hoc infrastructures –
Should be easy to setup and manage
–
Should support different resource types
–
Should not require admin privileges or complex middleware installation
Everest –
Provide necessary middleware as a service
–
Users attach their resources and combine them for running applications
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Integration with Computing Resources
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Everest Agent ●
A mediator between the resource and the platform
●
Supporting servers, clusters and resources behind a firewall
●
Security mechanisms: white list, execution of tasks in Docker containers
●
Open Source: https://gitlab.com/everest/agent/
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Integration with EGI ●
European Grid Infrastructure (EGI) –
●
~300
resource centers, ~500K CPU cores
Challenges –
Some users don't have access to grid UI ●
–
–
28.09.2015
Using hosted docker image with configured EMI UI via SSH
Job submission requires a grid user certificate and VO ●
Enable user to pass proxy certificate to Everest
●
Create a single Everest resource per VO
Unpredictable delays while scheduling jobs in grid ●
Use “pilot jobs” strategy to allocate grid resources before scheduling
●
Reuse agents as pilots (a single resource is backed by many agents)
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Integration with EGI
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Combined use of HPC cluster and EGI ●
Parameter sweep (geophysics) with 670 tasks
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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Combined use of HPC cluster and EGI ●
Parameter sweep (molecular docking) with 1000 tasks
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Future Work ●
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EGI integration improvements –
Prefer “responsive” computing elements
–
Allocate multiple cores per agent, prestage task data
–
Generate and update proxy certificates
Integration with other types of resources –
●
Efficient scheduling across multiple resources –
●
Cloud computing services, volunteer computing
Collect and analyze resource metrics, predict task run time
Optimization of data transfer –
Cache input files on agents, support other data transfer protocols
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Conclusion ●
●
Everest enables users to publish and run applications on ad-hoc computing infrastructures –
Platform as a Service, accessible via web browser
–
Based on user-level agents deployed on resources
–
Combining HPC resources and grid infrastructures
More information: http://everest.distcomp.org/
28.09.2015
Combined use of HPC resources and grid infrastructures with Everest cloud platform
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