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    MAPPING VIRTUAL PROCESSOR CORES TO HETEROGENEOUS PHYSICAL PROCESSOR CORES
    21.
    发明公开
    MAPPING VIRTUAL PROCESSOR CORES TO HETEROGENEOUS PHYSICAL PROCESSOR CORES 审中-公开

    公开(公告)号：US20240354140A1

    公开(公告)日：2024-10-24

    申请号：US18302707

    申请日：2023-04-18

    申请人： Microsoft Technology Licensing, LLC

    发明人： Bruce J. SHERWIN, JR.

    IPC分类号： G06F9/455

    CPC分类号： G06F9/45558 ,  G06F2009/45579

    摘要： Mapping virtual processor cores to heterogeneous physical processor cores. A device determines that a processor system has a heterogeneous set of processor cores, which include a first physical core with a first attribute and a second physical core with a second capability different from the first capability. The device associates a plurality of physical cores with a virtual machine (VM). This includes the device associating the first physical core with a first virtual core, which includes, based on the first physical core having the first capability, exposing to the VM that the first virtual core has a first feature set. This also includes the device associating the second physical core with a second virtual core of the VM, which includes, based on the second physical core having the second capability, exposing to the VM that the second virtual core has a second feature set different from the first feature set.

    SYSTEM AND METHOD TO IDENTIFY IMBALANCE AND ENABLE MID-FLOW REBALANCING
    27.
    发明公开
    SYSTEM AND METHOD TO IDENTIFY IMBALANCE AND ENABLE MID-FLOW REBALANCING 审中-公开

    公开(公告)号：US20240348563A1

    公开(公告)日：2024-10-17

    申请号：US18300909

    申请日：2023-04-14

    申请人： Microsoft Technology Licensing, LLC

    发明人： Sumit MAHESHWARI ,  Gopi Mallikharjun BHIMAVARAPU ,  Ronaid Mark PARKER

    IPC分类号： H04L49/50 ,  H04L47/62 ,  H04L49/00

    CPC分类号： H04L49/501 ,  H04L47/621 ,  H04L49/3063

    摘要： An internal flow traffic controller of a multi-core processing system redirects packets among a plurality of processing cores with stateful flow awareness. The packets belong to flows of network traffic at a packet forwarding node of a 5G network or beyond. The internal flow traffic controller may include a memory storing computer-executable instructions; and a processor configured to execute the computer-executable instructions. The internal flow traffic controller is configured to distribute new incoming flows of network traffic to one of the plurality of processing cores; identify, based on an imbalance among the plurality of processing cores, an overloaded processing core to rebalance; identify a subject flow to move from the overloaded processing core; identify a target processing core with a lowest utilization; and migrate processing of the subject flow from the overloaded processing core to the target processing core.

    SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS
    28.
    发明公开
    SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS 审中-公开

    公开(公告)号：US20240348513A1

    公开(公告)日：2024-10-17

    申请号：US18301885

    申请日：2023-04-17

    申请人： Microsoft Technology Licensing, LLC

    发明人： Ronald Mark PARKER ,  Mark Gordon LIBBY ,  Michael Anthony BROWN ,  Haibo QIAN ,  Rahul BOSE

    IPC分类号： H04L41/5054 ,  H04L41/5051 ,  H04W4/50 ,  H04W24/02

    CPC分类号： H04L41/5054 ,  H04L41/5051 ,  H04W4/50 ,  H04W24/02

    摘要： The present disclosure relates to systems, methods, and computer readable media for facilitating placement of network functions based on a network slice profile that is received and based on internal knowledge of a cloud computing system having network resources thereon. The systems described herein involve tagging the network resources with various characteristics, generating resource management profiles including instructions that may be used to supplement information from the slice profile(s), and matching an incoming slice profile with a resource management profile. The systems described herein facilitate rolling out a deployment of network functions on the network resources in accordance with information from the resource management profile in a way that optimizes resources and allows automated placement of network functions based on a received network slice.

    SELF-SUPERVISED SYSTEM GENERATING EMBEDDINGS REPRESENTING SEQUENCED ACTIVITY
    30.
    发明公开
    SELF-SUPERVISED SYSTEM GENERATING EMBEDDINGS REPRESENTING SEQUENCED ACTIVITY 审中-公开

    公开(公告)号：US20240346533A1

    公开(公告)日：2024-10-17

    申请号：US18740485

    申请日：2024-06-11

    申请人： Microsoft Technology Licensing, LLC

    发明人： Mayank SHRIVASTAVA ,  Sagar GOYAL ,  Sahil BHATNAGAR ,  Pin-Jung CHEN ,  Pushpraj SHUKLA ,  Arko P. MUKHERJEE

    IPC分类号： G06Q30/0202 ,  G06N3/04 ,  G06N3/084 ,  G06N20/00

    CPC分类号： G06Q30/0202 ,  G06N3/04 ,  G06N3/084 ,  G06N20/00

    摘要： The disclosure herein describes a system for generating embeddings representing sequential human activity by self-supervised, deep learning models capable of being utilized by a variety of machine learning prediction models to create predictions and recommendations. An encoder-decoder is provided to create user-specific journeys, including sequenced events, based on human activity data from a plurality of tables, a customer data platform, or other sources. Events are represented by sequential feature vectors. A user-specific embedding representing user activities in relationship to activities of one or more other users is created for each user in a plurality of users. The embeddings are updated in real-time as new activity data is received. The embeddings can be fine-tuned using labeled data to customize the embeddings for a specific predictive model. The embeddings are utilized by predictive models to create product recommendations and predictions, such as customer churn, next steps in a customer journey, etc.