MatterMiners

Deployment and simulation framework for dynamic allocation and integration of opportunistic resources


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Simulate

Lapis provides a framework to simulate scheduling of tasks for static and opportunistic resources. It uses COBalD for dynamic resource allocation.

Deploy and get started

Extend your static resources whenever you require more. COBalD offers a lightweight framework to balance opportunistic resources to dynamically allocate and integrate resources. Get started today with cloud bursting, container orchestration, allocation scaling and more!

Visualise

Visualise the statistics you are intested in such as utilisation or allocation from either Lapis simulation or your production COBalD environment.

COBalD

COBalD – the Opportunistic Balancing Daemon

COBalD is a lightweight framework to balance opportunistic resources: cloud bursting, container orchestration, allocation scaling and more. Its lightweight model for resources and their composition makes it easy to integrate custom resources and manage them at a large scale.

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Lapis

Lapis is an adaptable, performant, and interactive scheduling (Lapis) simulator

The lapis library provides a framework and runtime for simulating the scheduling and usage of opportunistic and static resources.

You want to know how you can benefit from dynamic resource allocation? Describe your available hardware and simulate first. You can choose between static and dynamic resource utilisation to compare the different methods.

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TARDIS – Resourcemanager

Transparent Adaptive Resource Dynamic Integration System

Transparent Adaptive Resource Dynamic Integration System enables the dynamic integration of resources provided by different resource providers into one overlay batch system.

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COBalD - HTCondor ConcurrencyLimits Pools

Backend for the COBalD daemon to manage ConcurrencyLimits in HTCondor.

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Team

We are a team of researchers at Karlsruhe Institute of Technology that are passionate about science, software, and algorithm engineering at scale. We aim to produce smart solutions that are usable for and in science (and beyond).

R. Florian von Cube
R. Florian von Cube

Researcher

Max Fischer
Max Fischer

Researcher

Manuel Giffels
Manuel Giffels

Researcher

Robin Hofsaess

Doctoral Researcher

Maximilian Horzela
Maximilian Horzela

Doctoral Researcher

Eileen Kuehn
Eileen Kuehn

Researcher

Benoit Roland

Researcher

Matthias Schnepf
Matthias Schnepf

Researcher