Nicira, Inc.

Vmware, Inc.

Laxmikant Vithal Gunda

Arnold Poon

Farzad Ghannadian

Sirisha Myneni

W Andrew Lambeth

Justin Pettit

Amit Vasant Patil

Kausum Kumar

Prasad Sharad Dabak

Arijit Chanda

Vasantha Kumar Dhanasekar

Jayant Jain

Sachin Mohan Vaidya

Anirban Sengupta

Margaret Angeline Petrus

Rajiv Krishnamurthy

Alok S Tiagi

Aditi Vutukuri

Sunitha Krishna

Rayanagouda Bheemanagouda Patil

Vaibhav Diwakar Kulkarni

Russell Lu

Arnold Koon-Chee Poon

Vinith Podduturi

Clemens Kolbitsch

Ming Wen

Karen Hayrapetyan

Kedar Bhalchandra Chaudhari

Edilmo Palencia

Srikanth Manikarnike

Ashot Aslanyan

Some embodiments provide a system that detects whether a data flow is an elephant flow; and if so, the system treats it differently than a mouse flow. The system of some embodiments detects an elephant flow by examining, among other items, the operations of a machine. In detecting, the system identifies an initiation of a new data flow associated with the machine. The new data flow can be an outbound data flow or an inbound data flow. The system then determines, based on the amount of data being sent or received, if the data flow is an elephant flow. The system of some embodiments identifies the initiation of a new data flow by intercepting a socket call or request to transfer a file.

Inspecting operations of a machine to detect elephant flows

The disclosure herein describes executing unknown processes while preventing sandbox-evading malware therein from performing malicious behavior. A process execution event associated with an executable is detected, wherein the executable is to be executed in a production environment. The executable is determined to be an unknown executable (e.g., an executable that has not been analyzed for malware) using signature data in the process execution event. A function call hook interface of a sandbox simulator is activated, and a process of the executable is executed in the production environment. Any function calls from the executing process are intercepted by the activated function call hook interface, and sandbox-style responses to the intercepted function call are generated using sandbox response data of the sandbox simulator. The generated sandbox responses are provided to the executing process, whereby malware included in the executable behaves as if the executing process is executing in a sandbox environment.

Preventing activation of malware by exhibiting sandbox behavior in a non-sandbox environment

Some embodiments of the invention provide a simplified mechanism to deploy and control a multi-segmented application by using application-based manifests that express how application segments of the multi-segment application are to be defined or modified, and how the communication profiles between these segments. In some embodiments, these manifests are application specific. Also, in some embodiments, deployment managers in a software defined datacenter (SDDC) provide these manifests as templates to administrators, who can use these templates to express their intent when they are deploying multi-segment applications in the datacenter. Application-based manifests can also be used to control previously deployed multi-segmented applications in the SDDC. Using such manifests would enable the administrators to be able to manage fine grained micro-segmentation rules based on endpoint and network attributes.

Template driven approach to deploy a multi-segmented application in an SDDC

Some embodiments provide a novel method for collecting and reporting attributes of data flows associated with machines executing on a plurality of host computers to an analysis appliance. Some embodiments collect, each time a request for a new data message flow is initiated, a set of contextual attributes (i.e., context data) associated with the requested new data message flow. The method, in some embodiments, generates a correlation data set and provides the correlation data set to be included in flow data regarding the requested data message flow to be used by the analysis appliance to correlate context data and flow data received as separate data sets from multiple host computers.

Correlation key used to correlate flow and context data

The disclosure provides an approach for workload labeling and identification of known or custom applications. Embodiments include determining a plurality of sets of features comprising a respective set of features for each respective workload of a first subset of a plurality of workloads. Embodiments include identifying a group of workloads based on similarities among the plurality of sets of features. Embodiments include receiving label data from a user comprising a label for the group of workloads. Embodiments include associating the label with each workload of the group of workloads to produce a training data set. Embodiments include using the training data set to train a model to output labels for input workloads. Embodiments include determining a label for a given workload of the plurality of workloads by inputting features of the given workload to the model.

Service labeling using semi-supervised learning

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and/or process events on the machines. The context engine then provides the contextual attributes to the service engines, which, in turn, use these contextual attributes to identify service rules for processing.

Collecting and processing contextual attributes on a host

Correlation key used to correlate flow and con text data

The disclosure provides an approach for establishing authentication between components in a network. Embodiments deploying a node of a monitoring appliance in response to a request and providing a token for accessing a network manager to the node of the monitoring appliance. Embodiments include generating, by the node of the monitoring appliance, a certificate of the node of the monitoring appliance and providing the certificate of the node of the monitoring appliance to the network manager with the token for accessing the network manager. Embodiments include adding, by the network manager, based on the token for accessing the network manager, the certificate of the node of the monitoring appliance to a first trust store and providing, by the network manager, a network manager certificate to the node of the monitoring appliance. Embodiments include adding, by the node of the monitoring appliance, the network manager certificate to a second trust store.

Apparatus to automatically establish or modify mutual authentications amongst the components in a software defined networking (SDN) solution

A simplified mechanism to deploy and control a multi-segmented application by using application-based manifests that express how application segments of the multi-segment application are to be defined or modified, and how the communication profiles between these segments. These manifests are application specific. Also, in some cases, deployment managers in a software defined datacenter (SDDC) provide these manifests as templates to administrators, who can use these templates to express their intent when they are deploying multi-segment applications in the datacenter. Application-based manifests can also be used to control previously deployed multi-segmented applications in the SDDC. Using such manifests would enable the administrators to be able to manage fine grained micro-segmentation rules based on endpoint and network attributes.

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. One of these service engines is a firewall engine. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and/or process events on the machines. The context engine then provides the contextual attributes to the firewall engine, which, in turn, use these contextual attributes to identify firewall rules to enforce.

Context based firewall services for data message flows for multiple concurrent users on one machine

The technology disclosed herein enables micro-segmentation of virtual computing elements. In a particular embodiment, a method provides identifying one or more multi-tier applications comprising a plurality of virtual machines. Each application tier of the one or more multi-tier applications comprises at least one of the plurality of virtual machines. The method further provides maintaining information about the one or more multi-tier applications. The information at least indicates a security group for each virtual machine of the plurality of virtual machines. Additionally, the method provides identifying communication traffic flows between virtual machines of the plurality of virtual machines and identifying one or more removable traffic flows of the communication traffic flows based, at least in part, on the information. The method then provides blocking the one or more removable traffic flows.

Micro-segmentation of virtual computing elements

Performing appID based firewall services on a host

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines, each host computer in these embodiments executes a context engine and one or more attribute-based service engines. Through the GI agents of a host's machines, the context engine of that host in some embodiments collects contextual attributes associated with network and/or process events on the machines, and provides the contextual attributes to the service engines to use to identify service rules for processing.

Growing community of inventors

San Jose, CA, United States of America

Laxmikant Vithal Gunda