  In biomedical research, computational methods have become indispensable and
their use is increasing, making the efficient allocation of computing resources
paramount. Practitioners routinely allocate resources far in excess of what is
required for batch processing jobs, leading to not just inflated wait times and
costs, but also unnecessary carbon emissions. This is not without reason
however, as accurately determining resource needs is complex, affected by the
nature of tools, data size, and analysis parameters, especially on popular
servers that handle numerous jobs. The Galaxy platform, a web-based hub for
biomedical analysis used globally by scientists, exemplifies this challenge.
Serving nearly half a million registered users and managing around 2 million
monthly jobs, Galaxy's growth outpaces the resources at its disposal. This is
necessitating smarter resource utilization. To address this, we have developed
a tool named Total Perspective Vortex (TPV) - a software package that
right-sizes resource allocations for each job. TPV is able to dynamically set
resource requirements for individual jobs and perform meta-scheduling across
heterogeneous resources. It also includes a first-ever community-curated
database of default resource requirements for nearly 1,000 popular
bioinformatics tools. Deployments in Galaxy Australia and Europe demonstrate
its effectiveness with meta-scheduling user jobs and an improved experience for
systems administrators managing Galaxy servers.
