Cisco Technology, Inc.

Valtix, Inc.

Pensando Systems Inc.

Embrane, Inc.

Vijay K Chander

Praveen Jain

Munish Mehta

Yibin Yang

Praveen K Patnala

Vishal Jain

Marco Di Benedetto

Joji Thomas Mekkattuparamban

Saurabh Jain

Alessandro Salvatori

Ronak K Desai

Arthur Lihder Chang

Dante Malagrino

Vijayan Ramakrishnan

Thomas Vincent Flynn

Michael R Smith

Michael L Chan

Diego Crupnicoff

Mario Baldi

Anand Girish Parthasarathy

Raja Rao Tadimeti

Madhava Rao Cheethirala

Narender Enduri

Sunil Kumar

Badhri Madabusi Vijayaraghavan

Van Lieu

Surekha Puttasubbappa Chandrashekarappa

Kartikeya Chandrayana

Ganesh Narayanaswamy

Raghu Ram Duddumpudi

The present technology provides intercloud connectivity as a service by discovering components of the organization's deployment in various sites, irrespective of the cloud provider, such that two sites can merely be selected along with a few standard options, and the controller can handle the complexity of instantiating a tunnel between the cloud sites automatically. Further, the controller can monitor the health of one or more tunnels between the cloud sites to automatically scale bandwidth up or down.

Multi-cloud site-site secure connectivity as a service

According to one or more embodiments of this disclosure, a network controller in a data center network establishes a translation table for in-band traffic in a data center network, the translation table resolves ambiguous network addresses based on one or more of a virtual network identifier (VNID), a routable tenant address, or a unique loopback address. The network controller device receives packets originating from applications and/or an endpoints operating in a network segment associated with a VNID. The network controller device translates, using the translation table, unique loopback addresses and/or routable tenant addresses associated with the packets into routable tenant addresses and/or unique loopback addresses, respectively.

Techniques for managing software defined networking controller in-band communications in a data center network

A computer-implemented method of managing security services for one or more cloud computing platforms is disclosed. The method comprises receiving, by a security gateway system having a processor, a digital communication related to one of one or more computing applications hosted by a virtual cluster for private use on a cloud computing platform, the security gateway system residing within the cloud computing platform, the security gateway system performing network security gateway functions for the one or more computing applications. The method also comprises storing the digital communication in association with a timestamp in a storage device. The method further comprises receiving a piece of threat intelligence data indicating a security threat from a main controller residing outside the virtual cluster; storing the piece of threat intelligence data in a database; and determining whether the piece of threat intelligence data applies to any of the digital communications in the storage device. Finally, the method comprises transmitting an estimate of an extent or timing of an impact of the security threat based on the determining.

Managing computer security services for cloud computing platforms

A method for managing network congestion is provided. The method comprises: receiving, at a receiver, a packet comprising a timestamp provided by a first clock of a sender; deriving, by the receiver, a latency value based at least in part on the timestamp provided by the first clock and a receipt time provided by a second clock of the receiver; determining a latency change by comparing the latency value with a previous latency value; and determining a state of network congestion based at least in part on the latency change.

Methods and systems for network congestion management

A computer-implemented method of managing security services for one or more cloud computing platforms is disclosed. The method comprises receiving, by a main controller, a security policy from a client device, the client device being associated with a set of computing applications hosted by one or more independent, private virtual clusters on one or more cloud computing platforms, the main controller residing outside the one or more virtual clusters, each of the one or more virtual clusters to be served by a security gateway system residing within the one or more cloud computing platforms, the security policy indicating how threat intelligence data is to be applied to the set of computing applications with respect to a plurality of application scopes; receiving application data from the client device, the application data indicating whether a specific computing application of the set of computing applications has one or more application properties of a plurality of application properties, the plurality of application properties corresponding to the plurality of application scopes, the one or more application properties including a functional attribute related to a function of the specific computing application, obtaining a piece of threat intelligence data from a data source; mapping the piece of threat intelligence data to the plurality of application scopes; determining to which of the one or more security gateway systems to send the piece of threat intelligence data based on the security policy; transmitting the piece of threat intelligence data to at least one of the one or more security gateway systems based on the determining.

Aspects of the embodiments are directed to forming a virtual machine management (VMM) domain in a heterogeneous datacenter. Aspects can include mapping an endpoint group to multiple VMM domains, each VMM domain associated with one or more virtual machine management systems of a single type that each share one or more management system characteristics; instantiating a virtual switch instance, the virtual switch instance associated with a the VMM domain; and instantiating the endpoint group mapped to the VMM domain as a network component associated with the virtual switch instance.

Extending application tiers across a large-scale heterogeneous data center

One or more integrated circuits for implementing a network firewall for a cloud computing platform are disclosed. The one or more integrated circuits comprise: special-purpose hardware, configured to perform: receiving an item in a transport layer from a second hardware portion through a communication bus, the item being derived from original data received by the second hardware portion from a source computer device; and applying processing in increasingly higher communication layers to the item to obtain processed data in an application layer. The applying comprises identifying a payload in the item; determining whether the item includes a security attack based on the payload, the original data, and additional data received from the source computer device before or after the original data was received; and transmitting the processed data, including a result of the determining, to the second hardware portion.

High-performance computer security gateway for cloud computing platform

The techniques presented herein use dynamic endpoint group (EPG) binding changes to facilitate cross-tenant resource sharing. A first node of a multi-tenant software defined network determines that an application on a first endpoint has initiated operation and needs temporary access to resources located at a second endpoint. The first and second endpoints are associated with first and second tenants, respectively, that are logically segregated from one another by the software defined network. The first node dynamically changes an initial EPG binding associated with the first endpoint to a second EPG binding that enables the first endpoint to temporarily directly access the resources at the second endpoint. The first node subsequently determines that the application on the first endpoint no longer needs access to the resources located at a second endpoint and, as such, changes the second EPG binding associated with the first endpoint back to the initial EPG binding.

Dynamic endpoint group binding for cross-tenant resource sharing in software defined networks

Systems, methods, and computer-readable media are provided for enforcing policy for upstream (e.g., traffic from an endpoint to the physical network layer or hardware fabric of a data center) flood traffic (e.g., broadcast, unknown unicast, or multicast traffic) originating from a virtual endpoint via a network fabric. In one embodiment, upstream flood traffic can be transmitted using a special multicast group to which only elements of the data center fabric (e.g., physical switches, routers) are subscribed. That is, upstream flood traffic is assigned to the special multicast group, resulting in unintended endpoints not receiving the flood traffic. However, the hardware fabric receives the flood traffic and will then enforce applicable policies to route the packets to intended endpoints.

Policy enforcement for upstream flood traffic

Systems, methods, and computer-readable storage media are provided for dynamically setting an end point group for an end point. An endpoint can be assigned a default end point group when added to a network. For example, the default end point group can be a baseline port/security group which is considered an untrusted group. The end point can then be dynamically assigned an end point group based on a set of group selection rules. For example, the group selection rules can identify an end point group based on the MAC address or other attributes. When the end point is added to the network, the MAC address and/or other attributes of the end point can be determined and used to assign an end point group. As another example, an end point group can be assigned based on the amount of traffic or guest operation system.

Dynamic attribute based application policy

A distributed virtual appliance is disclosed, including: determining a classification type associated with the first flow; and determining an allocation of the first flow to the first data plane compute unit of the distributed virtual appliance based at least in part on the determined classification type and at least a subset of information of a first flow identifier, wherein the distributed virtual appliance includes a plurality of compute units, including the first data plane compute.

Distributed virtual appliance

Growing community of inventors

San Ramon, CA, United States of America

Vijay K Chander