Abstract: In one embodiment, present disclosure discloses a method for partitioning a temporal graph is described. Embodiments of the method comprises creating a plurality of storage blocks for each type of the different types of graph elements based on predefined label groups, each of the plurality of storage blocks configured to store the telemetry information generated in a corresponding predefined time-range, recreating each of the plurality of storage blocks upon expiry of a configurable rollover time, and sharding each of the plurality of storage blocks into a plurality of shards based on a configurable sharding count.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: In one embodiment, present disclosure discloses a method for partitioning a temporal graph is described. Embodiments of the method comprises creating a plurality of storage blocks for each type of the different types of graph elements based on predefined label groups, each of the plurality of storage blocks configured to store the telemetry information generated in a corresponding predefined time-range, recreating each of the plurality of storage blocks upon expiry of a configurable rollover time, and sharding each of the plurality of storage blocks into a plurality of shards based on a configurable sharding count.

Abstract: In one embodiment, present disclosure discloses a method for partitioning a temporal graph is described. Embodiments of the method comprises creating a plurality of storage blocks for each type of the different types of graph elements based on predefined label groups, each of the plurality of storage blocks configured to store the telemetry information generated in a corresponding predefined time-range, recreating each of the plurality of storage blocks upon expiry of a configurable rollover time, and sharding each of the plurality of storage blocks into a plurality of shards based on a configurable sharding count.

Abstract: The present technology addresses deficiencies associated with common practices for handling out of order data in a streaming data database. An aspect of the present technology is avoid storing out of order data in a snapshot but just store the out of order data as additional data linked to the temporal graph. The present technology receives out of order data and records a modification time for the data and a next modification time for the data that equals a timestamp of data previously stored in the database. If there is also data in the database for a time earlier than the timestamp of the out of order data, the earlier data is adjusted so that its next modification time matches the timestamp of the out of order data.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: In one embodiment, present disclosure discloses a method for partitioning a temporal graph is described. Embodiments of the method comprises creating a plurality of storage blocks for each type of the different types of graph elements based on predefined label groups, each of the plurality of storage blocks configured to store the telemetry information generated in a corresponding predefined time-range, recreating each of the plurality of storage blocks upon expiry of a configurable rollover time, and sharding each of the plurality of storage blocks into a plurality of shards based on a configurable sharding count.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: The present technology addresses a need to automatically configure a new compute resource to join an existing cluster of computing resources. The present technology provides a mechanism to ensure that the new compute resource is executing the same kernel version which further permits subsequent exchange at least one configuration message informing the new compute resource of necessary configuration parameters and an address to retrieve required software packages.

Abstract: In one implementation, traffic in a mobile network is offloaded to a security as a service server or a cloud server. A mobile access gateway (MAG) in the mobile network identifies one or more mobile nodes that are configured for communication on the mobile network. The MAG receives a message that includes an address of a mobile node and sends a request based on the message to the security as a service server. The MAG forwards traffic flows to the security as a service server according to the message, which is configured to detect an indication of malicious software in the traffic flows and/or filter content of the traffic flows according to a user profile.

Abstract: In one embodiment, a device in a network receives data from one or more other devices in the network via one or more protocol adaptors. The device transforms the received data into a common data model. The device executes a containerized application. The device exposes the transformed data to the application.

Abstract: Disclosed are systems, methods, and computer-readable storage media for fog enabled telemetry in real time multimedia applications. An edge computing device can receive first sensor data from at least a first sensor and a collaboration data stream from a first client device. The collaboration data stream can including at least one of chat, audio or video data. The edge computing device can convert the first sensor data into a collaboration data stream format, yielding a first converted sensor data, and then embed the first converted sensor data into the collaboration data stream, yielding an embedded collaboration data stream. The edge computing device can then transmit the embedded collaboration data stream to an intended recipient.

Abstract: In one implementation, a network device provides a single signoff service to one or more endpoints in software as a service (SaaS) sessions. The network device is configured to monitor a session between a software as a service (SaaS) provider and an endpoint device and to identify a network event trigger associated with the session. In response to the network event trigger, a signoff message is generated to the SaaS provider by the network device. The SaaS provider is configured to purge the session in response to the signoff message.

Abstract: In one embodiment, a device in a network receives data from one or more other devices in the network via one or more protocol adaptors. The device transforms the received data into a common data model. The device executes a containerized application. The device exposes the transformed data to the application.

Abstract: In one implementation, a network device provides a single signoff service to one or more endpoints in software as a service (SaaS) sessions. The network device is configured to monitor a session between a software as a service (SaaS) provider and an endpoint device and to identify a network event trigger associated with the session. In response to the network event trigger, a signoff message is generated to the SaaS provider by the network device. The SaaS provider is configured to purge the session in response to the signoff message.

Abstract: In one implementation, Web-Cache deployed in the Enterprise premises and cloud-based SecaaS are combined such that similar identity-based polices are enforced on both the SecaaS and content delivered from the Web-Cache. This identity-based policy implementation outside the network using SecaaS and within the network for web-cached content provides consistent identity-based security while still providing content to end-users with high performance. Content inspected and/or modified by SecaaS may be cached in the enterprise premises so that requests for content from an origin server decreases, freeing Internet bandwidth and reducing access time. Local caching of streaming content may decrease latency while local implementation of identity-based policy continues to limit the streamed content as appropriate. Local implementation of identity-based policy may reduce the load on SecaaS.