Vmware, Inc.

Wmware, Inc.

Weiqing Wu

Serge Maskalik

Sachin Thakkar

Debashis Basak

Aravind Srinivasan

Todd Sabin

Uday Suresh Masurekar

Jayant Jain

Anirban Sengupta

Abhinav Vijay Bhagwat

Allwyn M Sequeira

Liang Cui

Siddharth Ekbote

Govind Haridas

Yong Wang

Narendra Kumar Basur Shankarappa

Laxminarayana Tumuluru

Leon Cui

Jia Yu

Qiang Tang

Sureshbabu Koyadan Chathoth

Awan Kumar Sharma

Hemanth Kumar Pannem

Kiran Kumar Cherivirala

Hailing Xu

Jian Lan

Yan Qi

Anurag Dwivedi

Praveen Saxena

Rohit Muttepwar

Siva Polepalli

Prachi Dalvi

Shuting Ma

Ashvin Lakshmikanta

Hemant Sadana

An example method for managing a cell site in a 5G RAN may include determining a physical infrastructure layer, a container orchestration platform on the physical infrastructure layer, and a CNF instance associated with the 5G RAN in the container orchestration platform based on a site identifier associated with the cell site. Based on the physical infrastructure layer, the container orchestration platform, and the CNF instance, the method may include building a logical site resource map representing topological information of the cell site. Further, the method may include monitoring and/or managing the cell site using the logical site resource map.

Cell sites monitoring and/or management in 5G radio-access networks

Described herein are systems, methods, and software to manage the encapsulation of layer two communications across computing sites. In one example, a gateway at a first computing site may receive an encapsulated packet from a second gateway at a second computing site. After receiving the encapsulated packet, the gateway decapsulates the encapsulated packet and determines that the decapsulated packet satisfies MSS criteria. The gateway further, in response to determining that the decapsulated packet satisfies the MSS criteria, modifies an MSS option associated with the decapsulated packet to a maximum value and forwards the decapsulated packet to a destination virtual node in the first computing site.

Managing layer two network extension communications using maximum segment size (MSS) modifications

An example method of propagating fault domain topology information in a distributed container orchestration system includes: receiving, at control plane software executing in a data center, the fault domain topology, which includes tags for a protection group and fault domains for remote sites in communication with the data center; deploying, by a master server of the distributed container orchestration system that executes in the data center, a node pool comprising virtual machines (VMs) executing in servers of the remote sites, the VMs being nodes of the distributed container orchestration system in which containers execute; determining, by a controller of the master server, relationships among the VMs, the servers, the protection group, and the fault domains based on state of resources maintained by the master server; and providing, by the controller, labels to the servers for associating the tags of the protection group and the fault domains to the VMs.

Propagating fault domain topology to nodes in a distributed container orchestration system

A method for selecting between a plurality of paths for sending an encrypted packet from a source endpoint to a destination endpoint is provided. The method selects a first path of the plurality of paths for sending the encrypted packet from the source endpoint to the destination endpoint, each of the plurality of paths associated with a different one of a plurality of source ports, the encrypted packet being encrypted based on a security association established between the source endpoint and the destination endpoint in accordance with an IPSec protocol. The method further encapsulates, based on the SA having NAT-T enabled, the encrypted packet with a UDP header having a first source port associated with the first path. The method then transmits the encapsulated encrypted packet from the source endpoint to the destination endpoint via the first path.

Path selection for data packets encrypted based on an IPSEC protocol

A method of deploying a network service across a plurality of data centers, includes the steps of: in response to a request for or relating to a network service, identifying virtual network functions associated with the network service and determining network connectivity requirements of the virtual network functions, issuing commands to provision a virtual link between at least two of the data centers in which the virtual network functions are to be deployed.

Multi-site hybrid networks across cloud environments

A method of deploying a network service across a plurality of data centers, includes the steps of: in response to a request for or relating to a network service, identifying virtual network functions associated with the network service and determining network connectivity requirements of the virtual network functions, issuing commands to provision a first virtual link between at least two of the data centers in which the virtual network functions are to be deployed, and issuing commands to provision a second virtual link to one of the data centers in which the virtual network functions are to be deployed.

One or more examples provide techniques for providing a multi-site wide area network in a cloud computing system. In an example, a method of providing a multi-site wide area network (WAN) in a cloud computing system includes: creating a plurality of sites; creating a compute profile in each of the plurality of sites, each compute profile having a compute cluster of virtual machines (VMs); creating a service mesh having the compute profile of each of the plurality of sites; and deploying an application to the service mesh.

Multi-site wide area network in a cloud computing system

Techniques leveraging CPU flow affinity to increase throughput of a layer 2 (L2) extension network are disclosed. In one embodiment, an L2 concentrator appliance, which bridges a local area network (LAN) and a wide area network (WAN) in a stretched network, is configured such that multiple Internet Protocol Security (IPsec) tunnels are pinned to respective CPUs or cores, which each process traffic flows for one of the IPsec tunnels. Such parallelism can increase the throughput of the stretched network. Further, an L2 concentrator appliance that receives FOU packets is configured to distribute the received FOU packets across receive queues based a deeper inspection of inner headers of such packets.

High throughput layer 2 extension leveraging CPU flow affinity

Connectivity between data centers in a hybrid cloud system is optimized by pre-loading a wide area network (WAN) optimization appliance in a first data center with data to initialize at least one WAN optimization of application. The first data center is managed by a first organization and a second data center managed by a second organization, the first organization being a tenant in the second data center. The described technique includes receiving application packets having the application data generated by an application executing in the first data center at the WAN optimization appliance from a first gateway in the first data center, and performing the at least one WAN optimization on the application packets using the pre-loaded data to initialize the at least one WAN optimization.

Pre-fetch cache population for WAN optimization

The disclosure provides an approach for diagnosing a data plane of a network, wherein the network spans a first data center and a second data center, and wherein the second data center is remote to the first, the method comprising: accessing a secure connection between the first data center and the second data center; modifying, by the first performance controller, firewall settings of the first data center from a first setting to a second setting; opening on the second data center an instance of a performance tool; opening on the first data center a client of the instance of the performance tool; sending data packets over the data plane of the network; receiving the data packets; generating metrics associated with the data packets; and modifying firewall settings of the first data center from the second setting to the first setting.

Method of diagnosing data delivery over a network between data centers

The disclosure provides an approach for preventing the failure of virtual computing instance transfers across data centers. In one embodiment, a flow control module collects performance information primarily from components in a local site, as opposed to components in a remote site, during the transfer of a virtual machine (VM) from the local site to the remote site. The performance information that is collected may include various performance metrics, each of which is considered a feature. The flow control module performs feature preparation by normalizing feature data and imputing missing feature data, if any. The flow control module then inputs the prepared feature data into machine learning model(s) which have been trained to predict whether a VM transfer will succeed or fail, given the input feature data. If the prediction is that the VM transfer will fail, then remediation actions may be taken, such as slowing down the VM transfer.

Machine learning prediction of virtual computing instance transfer performance

Conditional address translation is performed in a multi-tenant cloud infrastructure to effectively support tenant-assigned addresses. For each tenant, the multi-tenant cloud infrastructure deploys both a private network used to communicate between the tenant and the cloud and a tenant-facing gateway to manage the private network. The multi-tenant cloud infrastructure also includes an externally-facing gateway used to communicate between the multi-tenant cloud and a public network. The tenant-facing gateways are configured to bypass address translation&#x2014;providing consistent addressing across each private network irrespective of the physical location of resources linked by the private network. By contrast, the public-facing gateway is configured to translate source addresses in outgoing packets to addresses that are unique within the public network. Advantageously, discriminately mapping addresses enables multiple tenants to interact in a uniform fashion with both on-premises resources and cloud-hosted resources without incurring undesirable address collisions between tenants.

Cross-cloud namespace management for multi-tenant environments

An example method of optimizing connectivity between data centers in a hybrid cloud system having a first data center managed by a first organization and a second data center managed by a second organization, the first organization being a tenant in the second data center. The method includes probing a wide area network (WAN) with test packets by varying an internet protocol (IP) flow tuple of the test packets across a set of IP flows. The method includes identifying a plurality of paths between a gateway of the first data center and another gateway of the second data center associated with the set of IP flows. The method further includes selecting an IP flow from the set of IP flows for an application executing in the first data center. The method further includes establishing a path-optimized connection between the gateway and the other gateway through the WAN having the selected IP flow for use by the application.

Data center WAN aggregation to optimize hybrid cloud connectivity

Connectivity between data centers in a hybrid cloud system having a first data center managed by a first organization and a second data center managed by a second organization, the first organization being a tenant in the second data center, is optimized. According to the described technique, a path-optimized connection is established through a wide area network (WAN) between a first gateway of a first data center and a second gateway of a second data center for an application executing in the first data center based on performance of paths across a set of Internet Protocol (IP) flows. Application packets received from the application at the first gateway are forwarded to a WAN optimization appliance in the first data center. WAN optimized application packets received from the WAN optimization appliance at the first gateway are then sent to the second gateway over the path-optimized connection.

Optimizing connectivity between data centers in a hybrid cloud computing system

An approach is disclosed for steering network traffic away from congestion hot-spots to achieve better throughput and latency. In one embodiment, multiple Foo-over-UDP (FOU) tunnels, each having a distinct source port, are created between two endpoints. As a result of the distinct source ports, routers that compute hashes of packet fields in order to distribute traffic flows across network paths will compute distinct hash values for the FOU tunnels that may be associated with different paths. Probes are scheduled to measure network metrics, such as latency and liveliness, of each of the FOU tunnels. In turn, the network metrics are used to select particular FOU tunnel(s) to send traffic over so as to avoid congestion and high-latency hotspots in the network.

Growing community of inventors

Cupertino, CA, United States of America

Weiqing Wu