MILPITAS, CA, August 03, 2020 — ProphetStor Data Services, Inc. was assigned the patent “WORKLOAD-AWARE I/O SCHEDULER IN SOFTWARE-DEFINED HYBRID STORAGE SYSTEM“ (Patent number US 9,575,664) by the United States Patent and Trademark Office. The patented technology has been incorporated into ProphetStor’s Federator.ai platform that leverages application awareness for scheduling resources in a Just-In-Time Fitted manner for application workloads. The technology results in much improved performance and utilization for general IT and Kubernetes platforms that have become the “Operating Systems” for MultiCloud and 5G Network operations.
As Dr. Jeff Dean of Google Brain stated in his 2019 article that “The potential exists to use machine-learned heuristics to replace hand-coded heuristics, with the ability for these ML heuristics to take into account much more contextual information than is possible in hand-written heuristics, allowing them to adapt more readily to the actual usage patterns of a system.” The patented technology of ProphetStor lays the foundation of bringing the digital intelligence into Cloud and 5G operations to address both the complexity and efficiency issues that are very difficult to be automated. ProphetStor has been focusing its innovation in applying Machine Learning in IT operations since it was founded in 2012. This patent grant is a recognition of our vision.
“ProphetStor started its journey of Application-Aware AIOps first by its invention in storage performance virtualization to improve the conventional storage capacity virtualization,” said Dr. Ming Sheu, ProphetStor’s EVP of Products. “At the heart of the IT technology, it is the applications that need to be ultimately supported. ProphetStor brings the essence of workload awareness to its design philosophy for optimization in resource allocation and workload placement, which is also the center of our product offering. We are delighted that our technology is recognized by the patent grant and we are excited to bring tremendous values to our customers.”
“In many of our customer use cases, we have witnessed the performance improvement of application workloads by up to twenty (20) times and savings of the cloud usage or operating cost by 50%,” said Dr. Eric Chen, CEO of ProphetStor. “In 5G operation, the allocation of bandwidth/radio resources for the variable-in-time workloads is a complicated problem to handle. There would be a huge cost savings when 20% or more of the bandwidth can be saved by intelligent multiplexing throughout the edge and core networks with our patented technology which is also essential for the ‘Zero-Touch’ operation in 5G.”
ProphetStor’s patented Deep Learning enabled Data Correlation and Impact Prediction Engine (DCIE) forms the foundation for its Federator.ai. Federator.ai 4.2 is a generally available product from ProphetStor. For a detailed description of the solution, please visit Federator.ai®.