Wireless parameter limits for predicted vRAN resource loads

    公开(公告)号:US12219395B2

    公开(公告)日:2025-02-04

    申请号:US17825596

    申请日:2022-05-26

    Abstract: A method for utilizing computing resources in a vRAN is described. A predicted resource load is determined for data traffic processing of wireless communication channels served by the vRAN using a trained neural network model. The data traffic processing comprises at least one of PHY data processing or MAC processing for a 5G RAN. Computing resources are allocated for the data traffic processing based on the predicted resource load. Wireless parameter limits are determined for the wireless communication channels that constrain utilization of the allocated computing resources using the trained neural network model, including setting one or more of a maximum number of radio resource units per timeslot or a maximum MCS index for the wireless parameter limits. The data traffic processing is performed using the wireless parameter limits to reduce load spikes that cause a violation of real-time deadlines for the data traffic processing.

    Cloud-connected baseboard management controller

    公开(公告)号:US11909575B1

    公开(公告)日:2024-02-20

    申请号:US18335724

    申请日:2023-06-15

    Inventor: Sanjeev Mehrotra

    CPC classification number: H04L41/046 H04L67/10

    Abstract: A cloud-connected baseboard management controller (BMC) enables remote management of all management layers of edge-based host machines from the cloud without imposition of costs associated with firewalls and private data connections. A remote management agent incorporated into the BMC enables creation of a remote management-enabled bare-metal server paradigm in which remote management from the cloud is supported at the lowest hardware levels which provides for cost-effective utilization of network resources down to even a single isolated node.

    Techniques for deploying workloads on nodes in a cloud-computing environment

    公开(公告)号:US11477275B1

    公开(公告)日:2022-10-18

    申请号:US17316314

    申请日:2021-05-10

    Abstract: Described are examples for deploying workloads in a cloud-computing environment. In an aspect, based on a desired number of workloads of a process to be executed in a cloud-computing environment and based on one or more failure probabilities, an actual number of workloads of the process to execute in the cloud-computing environment to provide a level of service can be determined and deployed. In another aspect, a standby workload can be executed as a second instance of the process without at least a portion of the separate configuration used by the multiple workloads, and based on detecting termination of one of multiple workloads, the standby workload can be configured to execute based on the separate configuration of the separate instance of the process corresponding to the one of the multiple workloads.

    Delay based congestion control protocol co-existing with TCP

    公开(公告)号:US10129155B2

    公开(公告)日:2018-11-13

    申请号:US15357984

    申请日:2016-11-21

    Abstract: Technologies are described for performing hybrid rate control that switches between a delay-based mode and a passive loss-based mode for a flow of network traffic. The switching can be performed based on the presence of loss-based TCP network flows. For example, rate control can be performed for a flow of network traffic in a delay-based mode. When the presence of a loss-based TCP network flow is detected, the flow of network traffic can be switched from the delay-based mode to a passive loss-based mode and rate control can be performed in the passive loss-based mode. When the loss-based TCP flow is no longer detected, the flow of network traffic can be switched back to the delay-based mode.

    Controlling bandwidth across multiple users for interactive services
    5.
    发明授权
    Controlling bandwidth across multiple users for interactive services 有权
    控制跨多个用户的带宽进行交互式服务

    公开(公告)号:US09391915B2

    公开(公告)日:2016-07-12

    申请号:US13923055

    申请日:2013-06-20

    Abstract: Embodiments are directed to controlling bandwidth usage using a token-based crediting and debiting scheme and to allowing connections to temporarily exceed bandwidth allocations using token credits. In one scenario, a bandwidth managing service receives a request to establish a connection with a network. The connection is associated with various subscribers that are part of a subscription. The bandwidth managing service assigns tokens to the connection, which are distributed from a pool of tokens that represents a total available bandwidth for the network. The bandwidth managing service receives a data transfer request from a logical user to transfer data over the network connection, where the data transfer request includes at least some of the assigned tokens. The bandwidth managing service also allocates to the connection a specified amount of bandwidth commensurate with the number of assigned tokens provided in the data transfer request.

    Abstract translation: 实施例涉及使用基于令牌的积分和记账方案来控制带宽使用,并允许连接使用令牌信用暂时超过带宽分配。 在一种情况下,带宽管理服务接收与网络建立连接的请求。 该连接与作为订阅的一部分的各种订户相关联。 带宽管理服务为连接分配令牌,从代表网络的总可用带宽的令牌池分发。 带宽管理服务从逻辑用户接收数据传输请求,以通过网络连接传输数据,其中数据传输请求至少包括一些分配的令牌。 带宽管理服务还向连接分配与数据传输请求中提供的分配令牌的数量相当的指定量的带宽。

    Congestion control for delay sensitive applications

    公开(公告)号:US09485184B2

    公开(公告)日:2016-11-01

    申请号:US13917441

    申请日:2013-06-13

    CPC classification number: H04L47/25 H04L47/22 H04L47/2416 H04L47/29 H04L47/30

    Abstract: In various embodiments, methods and systems are disclosed for a hybrid rate plus window based congestion protocol that controls the rate of packet transmission into the network and provides low queuing delay, practically zero packet loss, fair allocation of network resources amongst multiple flows, and full link utilization. In one embodiment, a congestion window may be used to control the maximum number of outstanding bits, a transmission rate may be used to control the rate of packets entering the network (packet pacing), a queuing delay based rate update may be used to control queuing delay within tolerated bounds and minimize packet loss, and aggressive ramp-up/graceful back-off may be used to fully utilize the link capacity and additive-increase, multiplicative-decrease (AIMD) rate control may be used to provide fairness amongst multiple flows.

    Functional programming in distributed computing
    10.
    发明授权
    Functional programming in distributed computing 有权
    分布式计算中的功能编程

    公开(公告)号:US09338234B2

    公开(公告)日:2016-05-10

    申请号:US14254795

    申请日:2014-04-16

    CPC classification number: H04L67/1097 G06F9/5066 G06F21/10 H04L29/06 H04L67/02

    Abstract: Disclosed herein are systems and methods for executing programs written in functional style. A distributed computing system receives a program that expresses computation upon one or more sets of distributed key-value pairs (DKVs) and one or more global variables (GVs). The system distributes an assembly that includes at least a compiled binary of the program to the nodes of a computing cluster, with different portions of the DKVs being stored across the plurality of nodes of the computing cluster. The system causes execution of the assembly by each of the plurality of nodes of the computing cluster, the ones of the plurality of nodes executing the assembly using the different portions of the one or more DKVs stored thereon.

    Abstract translation: 这里公开了用于执行以功能性风格书写的程序的系统和方法。 分布式计算系统接收在一组或多组分布式键值对(DKV)和一个或多个全局变量(GV)上表达计算的程序。 该系统将至少包含程序的编译二进制文件的程序集分发到计算集群的节点,其中DKV的不同部分被存储在计算集群的多个节点之间。 该系统使得计算集群的多个节点中的每一个节点执行组装,多个节点中的节点使用其上存储的一个或多个DKV的不同部分来执行组件。

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