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EkkoSense’s new algorithm provides insight into relationship between IT racks and specific cooling units

EkkoSense’s new algorithm provides insight into relationship between IT racks and specific cooling units

Power & CoolingSoftwareTop Stories

EkkoSense, a global leader in the provision of AI-powered data centre optimisation software, has announced major new updates to its innovative Zones of Influence algorithm, as part of its latest EkkoSoft Critical software release.

The new Zones of Influence algorithm provides data centre operations teams with a unique, real-time insight into the relationship between groups of IT racks and specific cooling units. This enables the creation of live airflow Zones of Influence, with racks grouped into clusters with the cooling unit that’s provisioning them. Potential cooling anomalies can also be detected by uncovering critical Zones of Influence.

“By sharing Zones of Influence insights with EkkoSoft Critical’s fully-embedded, AI-driven Cooling Advisor tool, operations teams will be able to see precisely which cooling units could be put into standby or turned down if they’re using variable speed fans,” said Paul Milburn, Chief Product Officer, EkkoSense. “Zones of Influence is a great example of how EkkoSense takes advantage of the latest Machine Learning-based algorithms to help unlock significant savings for data centre operators. With this latest release, we’re introducing important new enhancements to the Zone of Influence algorithm, as well as further updates to EkkoSoft Critical’s Permissions feature.”

EkkoSoft Critical introduces AI and Machine Learning technology into traditional data centre optimisation with software that provides comprehensive 3D monitoring and visualisation, AI-enabled evaluation and analytics and comprehensive capacity management support. This combines to deliver lower thermal and power risks for data centre operators, resulting directly in data centre cooling energy cost and carbon reductions that help operations teams to deliver on their corporate ESG requirements.

The Zones of Influence algorithm updates include:

  • Extending the algorithm to cover new cooling technologies such as fan wall arrays
  • An improved algorithm for rooms where combined cooling delivery units are used – such as In Row and standard Downflow units
  • Support for OEM units providing the right integration is available
  • Simplified initial configuration

EkkoSense will continue to extend the performance of EkkoSoft Critical, with the next key release scheduled to feature a major refresh of the software’s Estate Page navigation. This update will optimise site-level visibility, with comprehensive estate-wide reporting for thermal performance, site and room power usage, as well as full capacity utilisation updates. The company’s R&D team is also focused on taking its capacity planning capability further forward, with plans to offer an entirely new grey-space simulation capability at a later date.

EkkoSense’s EkkoSoft Critical AI-powered optimisation software delivers quantifiable reductions in cooling energy usage, helping data centres to reduce energy consumption and deliver quantifiable carbon savings to support corporate sustainability and ESG programmes. With EkkoSoft Critical, EkkoSense delivers a compelling business case, enabling true real-time M&E Capacity Planning for power, cooling and space at a fraction of the cost of more expensive and complex DCIM solutions. 

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