Abstract:
A method and system are provided. The method includes receiving by a computer having a processor and a memory, sequence data that includes labeled data and unlabeled data. The method further includes generating, by the computer having the processor and the memory, a recurrent neural network model of the sequence data, the recurrent neural network model having a recurrent layer and an aggregate layer. The recurrent neural network model feeds sequences generated from the recurrent layer into the aggregate layer for aggregation, stores temporal dependencies in the sequence data, and generates labels for at least some of the unlabeled data.
Abstract:
A method of message adaptation in the Internet of Things (IoT) includes receiving a message containing data collected by the plurality of sensors, identifying a message type, looking up a message descriptor according to the message type, looking up a message template matching the message type and outputting the message with the matched message template for content-based processing. In one embodiment, the method includes identifying the message is a text message, parsing the message according to message type and message descriptor, and creating a sequence of key-value pairs for the text message. In one embodiment the method includes determining that there is no matched or valid matched message template and parsing the message according to the message descriptor to generate and store a message template including the message type, a message item list and a message item position list and attaching the message template to the message.
Abstract:
A method of message adaptation in the Internet of Things (IoT) including a data center having a plurality of applications, an application gateway, a wide area network, a network of access appliances and a plurality of sensing devices. The method includes receiving at the application gateway a message containing data collected by the plurality of sensors, the message having a message descriptor; parsing at the application gateway the message according to the message descriptor; generating at the application gateway a message template based on the parsed message descriptor; storing at the application gateway the generated message template in memory; integrating context information into the generated message template; and outputting the message with the generated message template from the application gateway to a corresponding application in the data center for content-based processing.
Abstract:
In response to a map task distributed by a job tracker, a map task tracker executes the map task to generate a map output including version information. The map task tracker stores the generated map outputs. The map task tracker informs the job tracker of related information of the map output. In response to a reduce task distributed by the job tracker, the reduce task tracker acquires the map outputs for key names including given version information from the map task trackers, wherein the acquired map outputs include the map outputs with the given version information and historical map outputs with the version information prior to the given version information. The reduce task tracker executes the reduce task on the acquired map outputs.
Abstract:
Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.
Abstract:
A method of setting retransmission time of an application client during virtual machine migration includes predicting migration memory size required by a virtual machine to be migrated based on historical access log of at least one application and memory log of the virtual machine to be migrated; computing available migration bandwidth of a host of the virtual machine to be migrated; computing virtual machine migration time based on the predicted migration memory size required by the virtual machine to be migrated and the available migration bandwidth of the host; and setting retransmission time of the application client based on the virtual machine migration time.
Abstract:
A method of setting retransmission time of an application client during virtual machine migration includes predicting migration memory size required by a virtual machine to be migrated based on historical access log of at least one application and memory log of the virtual machine to be migrated; computing available migration bandwidth of a host of the virtual machine to be migrated; computing virtual machine migration time based on the predicted migration memory size required by the virtual machine to be migrated and the available migration bandwidth of the host; and setting retransmission time of the application client based on the virtual machine migration time.
Abstract:
A method of setting retransmission time of an application client during virtual machine migration includes predicting migration memory size required by a virtual machine to be migrated based on historical access log of at least one application and memory log of the virtual machine to be migrated; computing available migration bandwidth of a host of the virtual machine to be migrated; computing virtual machine migration time based on the predicted migration memory size required by the virtual machine to be migrated and the available migration bandwidth of the host; and setting retransmission time of the application client based on the virtual machine migration time.
Abstract:
A method of message adaptation in the Internet of Things (IoT) including a data center having a plurality of applications, an application gateway, a wide area network, a network of access appliances and a plurality of sensing devices. The method includes receiving at the application gateway a message containing data collected by the plurality of sensors, the message having a message descriptor; generating at the application gateway a message template based on the message descriptor; integrating context information into the generated message template; and outputting the message with the generated message template from the application gateway to a corresponding application in the data center for content-based processing.
Abstract:
A method of message adaptation in the Internet of Things (IoT) including a data center having a plurality of applications, an application gateway, a wide area network, a network of access appliances and a plurality of sensing devices. The method includes receiving at the application gateway a message containing data collected by the plurality of sensors, the message having a message descriptor; parsing at the application gateway the message according to the message descriptor; generating at the application gateway a message template based on the parsed message descriptor; storing at the application gateway the generated message template in memory; integrating context information into the generated message template; and outputting the message with the generated message template from the application gateway to a corresponding application in the data center for content-based processing.