International Business Machines Corporation

Vanessa Lopez-Marrero

Hendrik F Hamann

Rajarshi Das

Andriy Stepanchuk

Srinivas Yarlanki

Andrew Stepanchuk

A method includes: mapping a boundary of a volume of flowing fluid; partitioning the volume by a computational mesh; finding a contaminant location at a first sensor that is disposed within the volume; obtaining a measured velocity of the flowing fluid within the volume; generating a reversed velocity vector field within the mesh, in response to the measured velocity; time stepping the contaminant location from the first sensor along the reversed velocity vector field until the contaminant location intersects the boundary of the volume; and finding a contaminant source at the intersection of the time stepped contaminant location with the boundary of the volume.

Finding a contaminant source in a volume of flowing fluid

Methods, apparatuses, and computer program products for provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center are provided. Embodiments include for each air conditioning unit within the data center, determining a thermal zone generated by the air conditioning unit; for a given aggregate computational workload, identifying a plurality of computational workload configurations, each computational workload configuration indicating spatial assignments of the aggregate computational workload among a plurality of processing resources within the data center; for each computational workload configuration, calculating a total minimum energy consumption of the air conditioning units and the processing resources; and selecting the computational workload configuration with the lowest total minimum energy consumption and the determined lowest power air conditioning unit configuration corresponding with the selected computational workload configuration.

Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center

Techniques for analyzing flow of a quantity in a given domain are provided. In one aspect, a method for modeling regions in a domain affected by a flow of a quantity is provided which includes the following steps. A physical representation of the domain is provided. A grid that contains a plurality of grid-points in the domain is created. Sources are identified in the domain. Given a vector field that defines a direction of flow of the quantity within the domain, a boundary value problem is defined for each of one or more of the sources identified in the domain. Each of the boundary value problems is solved numerically to obtain a solution for the boundary value problems at each of the grid-points. The boundary value problem solutions are post-processed to model the regions affected by the flow of the quantity on the physical representation of the domain.

Techniques for determining physical zones of influence

Techniques for using air flow analysis to model thermal zones are provided. In one aspect, a method for modeling thermal zones in a space, e.g., in a data center, includes the following steps. A graphical representation of the space is provided. At least one domain is defined in the space for modeling. A mesh is created in the domain by sub-dividing the domain into a set of discrete sub-domains that interconnect a plurality of nodes. Air flow sources and sinks are identified in the domain. Air flow measurements are obtained from one or more of the air flow sources and sinks. An air flow velocity vector at a center of each sub-domain is determined using the air flow measurements obtained from the air flow sources and sinks. Each velocity vector is traced to one of the air flow sources, wherein a combination of the traces to a given one of the air flow sources represents a thermal zone in the space.

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Yorktown Heights, NY, United States of America

Vanessa Lopez-Marrero