North York, Canada

Reza Pournaghi



 

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Markham, CA (2019)
  • North York, CA (2019 - 2020)

Company Filing History:


Years Active: 2019-2020

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3 patents (USPTO):Explore Patents

Title: Innovations by Reza Pournaghi

Introduction

Reza Pournaghi is an accomplished inventor based in North York, Canada. He has made significant contributions to the field of distributed computing, holding a total of 3 patents. His work focuses on optimizing resource allocation and quality of service in complex computing environments.

Latest Patents

One of his latest patents is titled "System and method for distributed resource requirement and allocation." This invention involves obtaining duration information indicative of the time taken by tasks in a distributed compute phase. The tasks are sorted into groups based on this information, allowing for a time-varying allocation of resources in a distributed compute cluster.

Another notable patent is "Method and system for meeting multiple SLAs with partial QoS control." This patent describes a process where a quality of service identifier is assigned to each subtask in a compute workflow. It also includes generating a resource allocation plan that ensures the enforcement of quality of service levels for jobs submitted through a workflow orchestrator.

Career Highlights

Reza Pournaghi is currently employed at Huawei Technologies Co., Limited, where he continues to innovate in the field of technology. His work has been instrumental in advancing the capabilities of distributed computing systems.

Collaborations

He has collaborated with notable colleagues such as Shane Anthony Bergsma and Rui Zhang, contributing to various projects that enhance the efficiency and effectiveness of computing resources.

Conclusion

Reza Pournaghi's contributions to distributed computing through his patents and collaborations highlight his role as a key innovator in the technology sector. His work continues to influence the way resources are managed in complex computing environments.

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