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    ALLOCATION OF BASEBAND UNIT RESOURCES IN FIFTH GENERATION NETWORKS AND BEYOND
    104.
    发明申请
    ALLOCATION OF BASEBAND UNIT RESOURCES IN FIFTH GENERATION NETWORKS AND BEYOND 有权

    公开(公告)号：US20230060496A1

    公开(公告)日：2023-03-02

    申请号：US18054294

    申请日：2022-11-10

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Aleksandr Zelezniak ,  Minsung Jang ,  Kaustubh Joshi ,  Xuan Tuyen Tran

    IPC: H04W74/08 ,  H04W76/11 ,  H04W80/02 ,  H04W74/00

    Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

    Collaborative scheduling of last hop cellular traffic
    105.
    发明授权
    Collaborative scheduling of last hop cellular traffic 有权

    公开(公告)号：US11533650B2

    公开(公告)日：2022-12-20

    申请号：US16357495

    申请日：2019-03-19

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Kaustubh Joshi ,  Rajesh Krishna Panta ,  Cong Shi

    IPC: H04W28/02 ,  H04W4/24 ,  H04L41/50 ,  H04M15/00 ,  H04L12/14

    Abstract: An eNodeB or other cell access point device can receive demand data from mobile devices served by the cell. The demand data can represent an estimate of demand over a future period for network resources (e.g., bandwidth). The cell can aggregate this demand data and determine price data for the time period or for various intervals of the time period, then transmit the price data to the mobile devices. The price data can operate as a collaborative approach to scheduling traffic. For example, data (e.g., delay tolerant data) can be shifted (e.g., delayed for a few seconds) based on an examination of the price data in conjunction a determined priority of the data. Such can be applicable to data traffic not traditionally thought of as delay tolerant such as streaming video or web browsing, and can be accomplished without negatively impacting the quality of service or experience of the client.

    Extending Distributed Hash Table-Based Software Network Functions to Switching Hardware
    106.
    发明申请
    Extending Distributed Hash Table-Based Software Network Functions to Switching Hardware 有权

    公开(公告)号：US20220029920A1

    公开(公告)日：2022-01-27

    申请号：US17492831

    申请日：2021-10-04

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Abhigyan ,  Kaustubh Joshi ,  Han Nguyen ,  Edward Daniels

    IPC: H04L12/803 ,  H04L29/08 ,  H04L12/771

    Abstract: According to one aspect disclosed herein, a system can include a set of node peers, including a first subset implemented in software and a second subset implemented in hardware. The first subset can include a software node. The second subset can include a hardware node that includes a hardware cache, a processor, and a memory that stores computer-executable instructions. The hardware node can receive, from a network, a packet, and can determine if data that identifies a path associated with the packet is stored in the hardware cache. If not, the hardware node can query the software node to identify the path associated with the packet, and can receive, in response from the software node, the data that identifies the path, which then can be stored in the hardware cache. The hardware node can forward, along the path, the packet to a network element.

    Application deployment engine
    108.
    发明授权
    Application deployment engine 有权

    公开(公告)号：US11012503B2

    公开(公告)日：2021-05-18

    申请号：US16790848

    申请日：2020-02-14

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Gueyoung Jung ,  Kaustubh Joshi ,  Matti A. Hiltunen ,  Richard D. Schlichting

    IPC: H04L29/08 ,  H04L12/24 ,  G06F8/60

    Abstract: Concepts and technologies are disclosed herein for an application deployment engine. A processor that executes an application deployment engine can receive an application request. The processor can obtain network topology data that indicates availability of resources of a data center, an application template associated with the application, and a running time during which an application placement plan is to be identified out of a large number of placement scenarios within the running time. The application template can describe an application flow path associated with the application. The processor can identify the application placement plan, where the application placement plan can include an optimal placement of the application at the data center, before a given running time expires by pruning the large search space. The processor can generate a command to effect deployment of the application in accordance with the application placement plan.

    Virtual redundancy for active-standby cloud applications
    109.
    发明授权
    Virtual redundancy for active-standby cloud applications 有权

    公开(公告)号：US10990435B2

    公开(公告)日：2021-04-27

    申请号：US16571282

    申请日：2019-09-16

    Applicant: AT&T Intellectual Property I, L.P. ,  The Regents of the University of Colorado

    Inventor： Gueyoung Jung ,  Kaustubh Joshi ,  Sangtae Ha

    IPC: G06F9/455

    Abstract: Virtual redundancy for active-standby cloud applications is disclosed herein. A virtual machine (“VM”) placement scheduling system is disclosed herein. The system can compute, for each standby VM of a plurality of available standby VMs, a minimum required placement overlap delta to meet an entitlement assurance rate (“EAR”) threshold. The system can compute a minimum number of available VM slots for activating each standby VM to meet the EAR threshold. For each standby VM of a given application, the system can filter out any server of a plurality of servers that does not meet criteria. If a given server meets the criteria, the system can add the given server to a candidate list; sort, in descending order, the candidate list by the minimum required placement overlap delta and the number of available virtual machine slots; and select, from the candidate list of servers, a candidate server from atop the candidate list.

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