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MILPITAS, CA, February 15, 2023 — ProphetStor is pleased to announce the award of U.S. Patent No. 11,579,933 B2 for its multi-layer correlation resource management technology — a method for establishing system resource prediction models that enable application-aware, just-in-time IT/Cloud operations. This patent marks a significant step forward for ProphetStor’s Federator.ai, which provides unique application-aware resource planning and optimization capabilities for enterprise and AI factory IT/Cloud Operations.
Federator.ai’s multi-layer correlation resource management works by predicting application workload and building correlation models across infrastructure layers using machine learning. This enables Just-in-Time Fitted resource orchestration and allocation, ensuring application resilience while reducing operating costs. This method ensures that application resilience is maintained while operating costs are reduced. Furthermore, this solution may be computationally feasible while meeting corporate/application KPIs.
Federator.ai’s multi-layer correlation resource management differentiates itself by providing application-aware insight that goes beyond standard resource optimization — whether using on-premises or cloud computing resources — making it a top choice for organizations looking to reduce their carbon footprint while maintaining application KPIs. Federator.ai’s application-aware approach goes beyond the standard resource optimization offered by other solutions, making it a top choice for organizations looking to reduce their carbon footprint and optimize operations through proper resource allocation, whether using on-premises or cloud computing resources. Furthermore, Federator.ai is simple to integrate into existing data center infrastructure, making it a cost-effective and efficient solution for increasing energy efficiency.
This multi-layer correlation approach to predictive and prescriptive analytics aligns with the Gartner 2023 technological trend of Applied Observability in the Optimization theme — helping customers achieve Green IT and Cost Optimization goals through just-in-time IT/Cloud resource orchestration. Furthermore, Federator.ai’s just-in-time resource orchestration and allocation capabilities assist customers seeking Green IT and Cost Optimization solutions by effectively meeting corporate/application KPIs through the IT/Cloud resources APIs that support them.
“We are incredibly proud of our team for reaching this significant milestone,” said ProphetStor CEO Eric Chen. “Our patented technology represents a breakthrough in IT and cloud resource management, allowing us to deliver unique and valuable insights that help our customers optimize their operations, reduce costs, and improve their sustainability. ProphetStor strives to be at the forefront of IT and cloud resource management innovation. This patent is just one example of our commitment to providing modern businesses with sustainable, efficient, and cost-effective solutions.”
Federator.ai from ProphetStor continues to develop innovative, industry-leading solutions that enable businesses to optimize their operations, reduce costs, and improve their sustainability. As a result, Federator.ai is poised to be the top choice for organizations looking to reduce their carbon footprint and achieve cost optimization through proper resource allocation, whether using on-premises or cloud computing resources, thanks to this patented technology.
Assume you’re looking for an innovative and one-of-a-kind solution to optimize your IT and cloud operations while lowering your carbon footprint and costs. Federator.ai from ProphetStor is the solution for you in that case. Federator.ai can predict application workload, build correlation models with resources, and provide just-in-time fitted resource orchestration and allocation using its patented multi-layer correlation technology and machine learning capabilities. To learn more about Federator.ai and how it can help you achieve your business objectives, contact ProphetStor today.
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U.S. Patent No. 11,579,933 B2 covers a method for predicting system resource demand and building resource management models using multi-layer correlation technology and machine learning. It identifies which application and infrastructure metrics are most closely tied to resource consumption, then uses those correlations to forecast and allocate resources before demand peaks occur.
Multi-layer correlation improves IT/Cloud/GPU resource management by identifying relationships between application workloads and underlying infrastructure resources — CPU, memory, storage, network, and GPU — across multiple layers simultaneously. Federator.ai uses these correlation models to predict demand in advance and orchestrate just-in-time resource allocation, keeping applications resilient while minimizing waste and cost.
Just-in-time resource orchestration means allocating exactly the right amount of resources at the moment they are needed. Federator.ai’s multi-layer correlation technology predicts when and how much resource each application will require, then automatically provisions that capacity in advance — eliminating both overprovisioning waste and underprovisioning risk.
Federator.ai reduces carbon footprint by eliminating idle and overprovisioned resources through precise, predictive allocation. By forecasting workload demand using multi-layer correlation and allocating resources just-in-time, infrastructure runs at optimal efficiency — directly reducing energy consumption and supporting Green IT and ESG goals.
Federator.ai’s multi-layer correlation technology supports both on-premises and cloud environments, integrating with Kubernetes clusters, virtual machines, and major cloud platforms — making it suitable for enterprises managing hybrid IT/Cloud operations without requiring infrastructure replacement.
Gartner’s Applied Observability trend identifies the practice of using operational data to drive automated optimization decisions. Federator.ai’s multi-layer correlation technology does exactly this — correlating metrics across application and infrastructure layers to drive just-in-time resource orchestration, turning raw observability data into active, automated resource management.
Founded in 2012 and headquartered in Milpitas, California, ProphetStor Data Services is an AI-driven infrastructure optimization company purpose-built for next-generation AI factories and GPU data centers. Its Federator.ai platform delivers full-stack solutions spanning GPU performance maximization, predictive workload-aware liquid cooling, and IT/Cloud resource optimization — helping organizations maximize compute performance, improve resource efficiency, and achieve ESG and sustainability goals.
For more information, visit prophetstor.com.
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