Company Filing History:
Years Active: 2015-2019
Title: Craig Stewart: Innovator in Genomic Application Data Storage
Introduction
Craig Stewart is a notable inventor based in Edinburgh, GB. He has made significant contributions to the field of data storage, particularly in genomic applications. With a total of 2 patents to his name, Stewart's work focuses on optimizing storage and processing in distributed systems.
Latest Patents
Stewart's latest patents revolve around genomic application data storage. One patent outlines a method for determining whether to increase the total amount of storage in a Hadoop storage pool or to increase processing in a Hadoop processing pool. The decision-making process ensures that if storage is increased without processing, the total amount of storage is enhanced independently. Conversely, if processing is increased without storage, the total amount of processing is augmented without affecting storage. This innovative approach allows for efficient resource allocation when processing a set of data.
Another patent details a system where a request is received to perform a process on a set of data. In this scenario, a set of resources, including both processing and storage, is obtained to run an appropriate Hadoop system. The data is processed using these resources, and storage resources associated with the distributed system are allocated independently of the processing resources. The results of the processing are then stored in the allocated storage resources.
Career Highlights
Throughout his career, Craig Stewart has worked with prominent companies such as EMC Corporation and EMC IP Holding Company LLC. His experience in these organizations has contributed to his expertise in data storage solutions and innovations.
Collaborations
Stewart has collaborated with notable individuals in his field, including Hamid R Djam and Michael Hancock. These collaborations have likely enriched his work and contributed to the development of his patents.
Conclusion
Craig Stewart is a distinguished inventor whose work in genomic application data storage has made a significant impact in the field. His innovative patents and career experiences highlight his contributions to optimizing data processing and storage solutions.