Patents by Inventor Mahmoud Sayed

Mahmoud Sayed has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SYSTEM AND METHOD OF DYNAMICALLY ADJUSTING VIRTUAL MACHINES FOR A WORKLOAD
    Publication number: 20260127040
    Abstract: A method for dynamically adjusting a number of virtual machines for a workload, includes: receiving a probability indicator for each of a plurality of N sequential stages, where N is a natural number greater than 1, of a likelihood that a virtual machine assigned to a workload will be evicted during the N sequential stages; predicting a target number of virtual machines to configure in a current stage for a subsequent stage from among the plurality of N sequential stages based on the probability indicator, a target capacity for the workload, and a current price for maintaining a virtual machine; and configuring a number of virtual machines for the workload during the current stage based on the target number to be loaded for the workload for the subsequent stage.
    Type: Application
    Filed: September 2, 2025
    Publication date: May 7, 2026
    Applicants: Microsoft Technology Licensing, LLC, Microsoft Technology Licensing, LLC
    Inventors: Soumya RAM, Preston Tapley STEPHENSON, Alexander David FISCHER, Mahmoud SAYED, Robert Edward MINNEKER, Eli Cortez Custodio VILARINHO, Felipe VIEIRA FRUJERI, Inigo GOIRI PRESA, Sidhanth M. PANJWANI, Yandan WANG, Camille Jean COUTURIER, Jue ZHANG, Fangkai YANG, Si QIN, Qingwei LIN, Chetan BANSAL, Bowen PANG, Vivek GUPTA
  • System and method of dynamically adjusting virtual machines for a workload
    Patent number: 12423160
    Abstract: A method for dynamically adjusting a number of virtual machines for a workload, includes: receiving a probability indicator for each of a plurality of N sequential stages, where N is a natural number greater than 1, of a likelihood that a virtual machine assigned to a workload will be evicted during the N sequential stages; predicting a target number of virtual machines to configure in a current stage for a subsequent stage from among the plurality of N sequential stages based on the probability indicator, a target capacity for the workload, and a current price for maintaining a virtual machine; and configuring a number of virtual machines for the workload during the current stage based on the target number to be loaded for the workload for the subsequent stage.
    Type: Grant
    Filed: June 9, 2022
    Date of Patent: September 23, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Soumya Ram, Preston Tapley Stephenson, Alexander David Fischer, Mahmoud Sayed, Robert Edward Minneker, Eli Cortez Custodio Vilarinho, Felipe Vieira Frujeri, Inigo Goiri Presa, Sidhanth M. Panjwani, Yandan Wang, Camille Jean Couturier, Jue Zhang, Fangkai Yang, Si Qin, Qingwei Lin, Chetan Bansal, Bowen Pang, Vivek Gupta
  • SYSTEM AND METHOD OF DYNAMICALLY ADJUSTING VIRTUAL MACHINES FOR A WORKLOAD
    Publication number: 20230401103
    Abstract: A method for dynamically adjusting a number of virtual machines for a workload, includes: receiving a probability indicator for each of a plurality of N sequential stages, where N is a natural number greater than 1, of a likelihood that a virtual machine assigned to a workload will be evicted during the N sequential stages; predicting a target number of virtual machines to configure in a current stage for a subsequent stage from among the plurality of N sequential stages based on the probability indicator, a target capacity for the workload, and a current price for maintaining a virtual machine; and configuring a number of virtual machines for the workload during the current stage based on the target number to be loaded for the workload for the subsequent stage.
    Type: Application
    Filed: June 9, 2022
    Publication date: December 14, 2023
    Inventors: Soumya RAM, Preston Tapley STEPHENSON, Alexander David FISCHER, Mahmoud SAYED, Robert Edward MINNEKER, Eli Cortex Custodio VILARINHO, Felipe VIEIRA FRUJERI, Inigo GOIRI PRESA, Sidhanth M. PANJWANI, Yandan WANG, Camille Jean COUTURIER, Jue ZHANG, Fangkai YANG, Si QIN, Qingwei LIN, Chetan BANSAL, Bowen PANG, Vivek GUPTA
  • Network traffic flow management using machine learning
    Patent number: 9967188
    Abstract: A system and method for management of network traffic flow for one or more networks of interconnected computing devices, including predicting one or more types of network traffic data flows using a Machine Learning (ML) classifier, and updating the ML classifier according to identified changes in the network traffic data flows. Using software-defined-networking (SDN) tools and an updated ML classifier, training data is generated to formulate accurate new predictions of the one or more types of network traffic data flows. Network traffic flow is regulated based on the generated new predictions.
    Type: Grant
    Filed: September 3, 2015
    Date of Patent: May 8, 2018
    Assignee: NEC Corporation
    Inventors: Konstantinos Kanonakis, Yawei Yin, Mahmoud Sayed
  • NETWORK TRAFFIC FLOW MANAGEMENT USING MACHINE LEARNING
    Publication number: 20160105364
    Abstract: A system and method for management of network traffic flow for one or more networks of interconnected computing devices, including predicting one or more types of network traffic data flows using a Machine Learning (ML) classifier, and updating the ML classifier according to identified changes in the network traffic data flows. Using software-defined-networking (SDN) tools and an updated ML classifier, training data is generated to formulate accurate new predictions of the one or more types of network traffic data flows. Network traffic flow is regulated based on the generated new predictions.
    Type: Application
    Filed: September 3, 2015
    Publication date: April 14, 2016
    Inventors: Konstantinos Kanonakis, Yawei Yin, Mahmoud Sayed