Abstract:
A cloud edge appliance (CEA) may augment the providing, by a remote cloud service provider, of cloud applications to a customer. The CEA may be installed at the customer premises and may provide a local access point for the customer. In one implementation, the CEA may provide a cloud-based application to a number of user devices, the cloud-based application being associated with functions, in which at least a first portion of the functions are implemented by the CEA and at least a second portion of the plurality of functions are forwarded, over a wide area network, to the cloud service provider.
Abstract:
A method, performed by a computer device, may include receiving an indication of a distributed denial of service event at a front end system associated with a customer; generating one or more virtual front end systems for the customer, in response to receiving the indication of the distributed denial of service event; and redirecting traffic intended for the customer's front end system to the generated one or more virtual front end systems. The method may further include determining whether resource capacity of the generated one or more virtual front end systems has been reached; and generating an additional one or more virtual front end systems for the customer, in response to determining that the resource capacity of the generated one or more virtual front end systems has been reached.
Abstract:
An exemplary method includes a virtual interface adjustment system detecting, based on user input data associated with user input received by way of a virtual interface of a user device, an erroneous input pattern that includes at least one unintentional input, determining, based on the erroneous input pattern, an adjustment procedure configured to adjust the virtual interface to avert future unintentional inputs that correspond to the at least one unintentional input of the erroneous input pattern, determining an adjustment procedure trigger for the adjustment procedure, activating the adjustment procedure trigger, detecting, after the activating, an occurrence of the adjustment procedure trigger, and executing, in response to the detecting of the occurrence of the adjustment procedure trigger, the adjustment procedure to avert the future unintentional inputs that correspond to the at least one unintentional input of the erroneous input pattern. Corresponding methods and systems are also described.
Abstract:
A method, a device, and a non-transitory storage medium provides storing user preferences pertaining to a native ad service; receiving a program that includes instances of native ad information indicative of instances of native ads; displaying the program; determining, whether instances of native ad information is received; providing the native ad based on the user preferences, in response to determining that the instances of native ad information is received; determining whether a secondary user device is paired; and transmitting instances of native ad information to the secondary user device in response to determining that the secondary user device is paired.
Abstract:
An intelligent network interconnect may include a control channel and a plurality of nodes. The plurality of nodes may include a first node coupled to a first network and a second node coupled to a second network. Each of the plurality of nodes is coupled to the control channel. The intelligent network interconnect may also include a control device coupled to the control channel. The intelligent network interconnect may be configured to: collect network data from the first node and the second node, wherein the network data includes traffic data of the first network; obtain metrics based on the collected network data; detect an event based on the metrics and the collected network data; and a rule whose condition matches the event; and send a command over the control channel, to one or more of the nodes, to perform an action associated with the rule.
Abstract:
A server may receive flow information from multiple network devices. The flow information may include information regarding multiple data flows received by the multiple network devices and destined for a client device. The server may determine generate an optimization instruction, based on flow information, to re-route one or more of the plurality of data flows or to apply filters to the one or more of the plurality of data flows; provide the optimization instruction to cause one or more of the multiple network devices to re-route one or more of the multiple data flows or to apply filters to the one or more data flows to alleviate overloaded network components or to re-route network resources to or from the client device; receive updated flow information after receiving the flow information; generate an updated optimization instruction based on the updated flow information; and provide the updated optimization instruction.
Abstract:
A method, performed by a computer device, may include receiving a Short Message Service (SMS) message. The method may further include analyzing one or more sender parameters associated with the received SMS message to validate the one or more sender parameters; determining whether the one or more sender parameters have been validated based on the analysis; rejecting the SMS message in response to determining that the one or more sender parameters have not been validated; analyzing message content included in the SMS message to validate the message content; determining whether the message content has been validated based on the analysis; rejecting the SMS message in response to determining that the message content has not been validated; and forwarding the SMS message to a recipient, in response to validating the one or more sender parameters and in response to validating the message content.
Abstract:
An exemplary method includes a virtual interface adjustment system detecting, based on user input data associated with user input received by way of a virtual interface of a user device, an erroneous input pattern that includes at least one unintentional input, determining, based on the erroneous input pattern, an adjustment procedure configured to adjust the virtual interface to avert future unintentional inputs that correspond to the at least one unintentional input of the erroneous input pattern, determining an adjustment procedure trigger for the adjustment procedure, activating the adjustment procedure trigger, detecting, after the activating, an occurrence of the adjustment procedure trigger, and executing, in response to the detecting of the occurrence of the adjustment procedure trigger, the adjustment procedure to avert the future unintentional inputs that correspond to the at least one unintentional input of the erroneous input pattern. Corresponding methods and systems are also described.