Nesher, Israel

Valleriya Perelman


Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 17(Granted Patents)


Location History:

  • Haifa, IL (2020)
  • Nesher, IL (2018 - 2021)

Company Filing History:


Years Active: 2018-2021

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5 patents (USPTO):Explore Patents

Title: Valleriya Perelman: Innovator in Computing Technologies

Introduction

Valleriya Perelman is a notable inventor based in Nesher, Israel. He has made significant contributions to the field of computing, holding a total of 5 patents. His work focuses on enhancing data management and resource allocation in computing systems.

Latest Patents

One of Valleriya's latest patents is titled "Fast, low memory, consistent hash using an initial distribution." This invention provides a consistent hash function that reduces memory use and complexity while minimizing the computational burden. The method involves storing a set of labels for potential resources, generating initial assignments, and reassigning requests until they are allocated to working resources.

Another significant patent is "Distributed affinity tracking for network connections." This invention addresses data transfer management by tracking data packets from client devices. It includes methods for determining the state of data flows and managing packet forwarding based on current and expected mapping values.

Career Highlights

Valleriya Perelman is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to develop innovative solutions that enhance the efficiency of computing systems.

Collaborations

Valleriya has collaborated with notable colleagues, including Dean Har'el Lorenz and Gal Mendelson. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Valleriya Perelman is a distinguished inventor whose work in computing technologies has led to several impactful patents. His contributions continue to shape the future of data management and resource allocation in the tech industry.

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