Vmware, Inc.

Rakuten Symphony, Inc.

Siddhant Gupta

Ronak Bharatkumar Lalwala

Zubraj Singha

Gurudutt Kumar Vyudayagiri Jagannath

Hari Swaroop Kanzal Venkatesha

Ankit Dubey

Rajesh Teli

Large message passing between containers in a virtualized computing system is described. A method of communication between microservices executing in containers, which execute in at least one virtual machines (VM) of a host having a hypervisor supporting the at least one VM, includes: sending, by each of a first microservice in a first container and a second microservice in a second container, a request to create a communication channel to a broker daemon executing in the hypervisor; receiving, at each of the first and second microservices, an identifier of a virtual disk attached to the at least one VM by the broker daemon; writing, by the first microservice, a message to the virtual disk; and reading, by the second microservice, the message from the virtual disk.

Large message passing between containers in a virtualized computing system

A method performed in an O-DU includes dividing a transmission time unit (TTI) into a plurality of symbol units, the TTI corresponding to a permitted time for transmission of data from the O-DU to the O-RU via the fronthaul link. The method further includes allocating a first packet of a first type to a first symbol unit. The method further includes, in response to determining (i) a size of the first packet of the first type is less than a size of the first symbol unit and (ii) a first packet of a second type associated with the first packet of the first type is available for transmission, allocating the first packet of the second type to the first symbol unit. The method further includes transmitting the first symbol unit with the first packet of the first type and the first packet of the second type to the O-RU.

Method and apparatus for statistical multiplexing for fronthaul bandwidth in open random access networks

Techniques for reducing power consumption in a radio unit are disclosed. The techniques include determining a number of Multiple-Input-Multiple-Output (MIMO) antenna elements of a MIMO antenna panel required to serve one or more User Equipment (UEs), identifying a number of MIMO antenna elements of the MIMO antenna panel not needed to serve the UEs. The techniques include sending, from an Open Radio Network (O-RAN) Distributed Unit (O-DU) to a O-RAN Radio Unit (O-RU), a beamforming weight of zero assigned to the MIMO antenna elements identified as not needed to serve the one or more UEs, the beamforming weight being sent in a digital domain via a Control plane (C-plane). The MIMO antenna elements assigned the beamforming weight of zero may be disabled thereby reducing the power consumption of the O-RU. Artificial Intelligence algorithms may be implemented to dynamically determine areas where the O-RAN should have more coverage or less coverage.

System and method for power saving in an ORAN with intelligent beamforming weights

Techniques are disclosed for dynamically managing a cache. Certain techniques include clustering I/O requests into a plurality of clusters by a machine-learning clustering algorithm that collects the I/O requests into clusters of similar I/O requests based on properties of the I/O requests. Further, certain techniques include identifying, for a received I/O request, a cluster stored in the cache. Certain techniques further include loading a set of blocks of the identified cluster into the cache.

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Bengaluru, India

Siddhant Gupta