Vmware, Inc.

Airwatch LLC

Nicira, Inc.

Abhishek Mishra

Joshua Glenn Broch

Manu Nazareth

Kevin Jones

Rahul Mishra

Adam Stephen Rykowski

Ramana Malladi

Nishita Manjunath

Sai Kiran Vudutala

Sangeeta Soman

Jonathan Spaeth

Zundra Vennaldo Daniel

Chidambareswaran Raman

Phillip Charles Krasko

Gregory J Ferguson

Liny Chandran

Zundna Vennaldo Daniel

Jayant Jain

Sami Boutros

Kantesh Mundaragi

Akhila Naveen

Stephen Tan

Adam Michael Hardy

Nigitha Alugubelli

Bhavesh Krishna Kumar

Sumedh Saurav

Aashima Madaan

Sriram Devalapalli

Trigger based analytics database synchronization is described. In one example case, a trigger is invoked based on an operation issued for a record in a transactional database. According to the trigger, one or more data values for synchronization from the transactional database to an analytics database are determined. A message including the data values is formed and added to a message queue through a message infrastructure service including a message broker. In turn, the values from the message are stored in a suitable memory space, such as a staging table, for forwarding to an analytics computing system. Using the trigger and the message infrastructure service, execution of the transactional database operation can be detached in execution from the addition of the value to the staging table and synchronization with the analytics computing system.

Trigger based analytics database synchronization

A platform for storing and reporting of data records associated with management of a population of managed devices is disclosed. Data records are injected into a hosted computing environment in which data processing services are arranged to store and generate analytics associated with a mobile device management (MDM) platform.

Storage and analysis of data records associated with managed devices in a device management platform

Various examples for performing rule processing for device management data evaluation are described. According to some examples, one or more computing devices can receive new device data from a client device indicative of a current configuration of the client device and identify a change of a device configuration value from a past device configuration value by comparing the new device data to historic device data. The computing devices can send the new device data to a rule evaluation service to identify one or more rules associated with the device configuration value a rule action service to perform an action specified in the rules. The rule action service can determine the action to perform based on the device configuration value.

Efficient rule processing for device management data evaluation

Systems herein allow an administrator to efficiently set up user devices for use in a classroom environment. A management server can display a graphical user interface that includes selection options for defining and using carts of user devices. The carts can be selected and assigned to classes. The GUI also allows the administrator to specify which applications a class will use. Based on these selections, the management server can then manage which user devices install which applications, and allocate licenses accordingly.

Systems for configuring and managing classroom devices

Event based analytics database synchronization is described. In one example, an event tracking engine can sequence through batches of records in a transactional database that is being synchronized to an analytics database. The event tracking engine can determine a last version attribute associated with the batch, and query the transactional database to identify any records for the batch having a more recent version attribute than the last version attribute. When any records in the transactional database having a more recent version attribute are identified, the event tracking engine finds the data values in the record are different than those in the analytics database. The data values can be normalized, for example, before being forwarded to an analytics system for incorporation into the a analytics database. Over time, changes in the transactional database are identified and populated or mirrored in the analytics database.

Event based analytics database synchronization

Some embodiments provide a method for providing a layer 2 (L2) bump-in-the-wire service at a gateway device (e.g., a layer 3 (L3) gateway device) at the edge of a logical network. The method, in some embodiments, establishes a connection from a first interface of the gateway device to a service node that provides the L2 service. The method also establishes a connection from a second interface of the gateway device to the L2 service node. The method then sends data messages received by the gateway device that require the L2 service to the service node using the first interface. Some embodiments provide a method for applying different policies at the service node for different tenants of a datacenter. Data messages received for a particular tenant that require the L2 service are encapsulated or marked as belonging to the tenant before being sent to the service node. Based on the encapsulation or marking, the service node provides the service according to policies defined for the tenant.

Incorporating layer 2 service between two interfaces of gateway device

Systems and methods are provided for analyzing application usage on a user device and optimizing application and license distribution for user devices in an enterprise. An example system includes a management server and a data server. The management server can provide instructions to the user device to install a tracking application that gathers application-usage data using built-in functionality of the user device. The data server can receive and compile the application-usage data, creating compiled usage data. Using this compiled usage data, the management server can execute a rules engine to determine an action to take associated with at least one application on the user device, such as redistributing application licenses.

Systems and methods for analyzing application usage on a user device

A method for a parallel execution of services of a serial service chain on packets using multicast-based service insertion is disclosed. In an embodiment, the method comprises identifying a plurality of services to be applied to packets of a data flow and determining a plurality of service machines that are configured to provide the plurality of services for the data flow. The plurality of service machines is grouped to a plurality of multicast groups; wherein multicast groups in the plurality of multicast groups are sequentially ordered from a first multicast group that includes a largest count of service machines to a last multicast group that includes a smallest count of service machines. Upon detecting a packet of the data flow, the is stored in memory, and multicast to the first multicast group of the plurality of multicast groups to cause applying, in parallel, services of service machines included in the first multicast group to the packet. Once a plurality of responses is received from service machines that belong to the first multicast group, the plurality of responses is used to determine whether service processing of the packet is completed. In response to determining that service processing of the packet is completed, the packet is disposed according the plurality of responses and without multicasting the packet to any other multicast group of the plurality of multicast groups.

Parallel execution of services of a serial service chain on packets using multicast-based service insertion

A method for a parallel execution of services, of a serial service chain, on packets using multicast-based service insertion is disclosed. In an embodiment, a method comprises detecting a packet of a data flow and storing the packet in memory. From a plurality of multicast groups, a first multicast group is identified. The first multicast group includes a plurality of service machines configured to provide a plurality of services to the data flow. The first multicast group includes all services machines of the plurality of service machines. The packet is multicast to the first multicast group of the plurality of multicast groups to cause applying, in parallel, services of service machines included in the first multicast group. Upon receiving a plurality of responses from service machines of the first multicast group, the plurality of responses is analyzed to determine whether the plurality of responses includes a modify-response. In response to determining that the plurality of responses does not include any modify-response, the plurality of responses is analyzed to determine whether the plurality of responses includes a drop-response. In response to determining that the plurality of responses does not include any drop-response, the packet is forwarded toward its destination without multicasting the packet to any other multicast group of the plurality of multicast groups.

Parallel execution of services on packets using multicast-based service insertion

Growing community of inventors

Atlanta, GA, United States of America

Abhishek Mishra