Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: The present embodiments relate to data center outage detection and alert generation. An outage detection service as described herein can process near real-time data from various sources in a datacenter and process the data using a model to determine one or more projected sources of a detected outage. The model as described herein can include one or more machine learning models incorporating a series of rules to process near-real time data and offline data and determine one or more projected sources of an outage. An alert message can be generated to provide the projected sources of the outage and other data relevant to the outage.

Abstract: A method of determining a structure for financing a consumer product through a computer implemented process according to one embodiment comprising the steps of: receiving one or more fixed inputs including a monthly payment value and a down payment value; calculating a plurality of potential financial structures for the consumer product based upon the monthly payment value and the down payment value; and determining from the plurality of potential financial structures, a financial structure that provides a greatest profit for a seller of the consumer product.

Abstract: An energy resource management server comprising: means for receiving energy availability messages from remote energy resources and geographic location indicators indicative of the geographical location of said remote energy resources; means for receiving energy request messages from remote energy resources and geographic location indicators indicative of the geographical location of said remote energy resources; a processor configured to determine counterparties in an energy resource transfer based on received energy availability messages and received energy request messages and the geographical location of the remote energy resources, and to transmit, to one or both of the counterparties, location information of the other counterparty of the determined counterparties.

Abstract: An energy resource management server comprising: means for receiving energy availability messages from remote energy resources and geographic location indicators indicative of the geographical location of said remote energy resources; means for receiving energy request messages from remote energy resources and geographic location indicators indicative of the geographical location of said remote energy resources; a processor configured to determine counterparties in an energy resource transfer based on received energy availability messages and received energy request messages and the geographical location of the remote energy resources, and to transmit, to one or both of the counterparties, location information of the other counterparty of the determined counterparties.

Abstract: A method of determining a structure for financing a consumer product through a computer implemented process according to one embodiment comprising the steps of: receiving one or more fixed inputs including a monthly payment value and a down payment value; calculating a plurality of potential financial structures for the consumer product based upon the monthly payment value and the down payment value; and determining from the plurality of potential financial structures, a financial structure that provides a greatest profit for a seller of the consumer product.

Abstract: The invention concerns the generation of schematics from analog netlists. Various implementations of the invention provide that an analog netlist defining a number of hardware components and the connectivity between the hardware components is identified. Subsequently, the netlist is sorted and partitioned into component groups. The component groups are arranged and lines are routed between the component groups. The corresponding hardware components are arranged within the component groups and a schematic corresponding to the arranged hardware components is generated.

Abstract: A method of determining a structure for financing a consumer product through a computer implemented process according to one embodiment comprising the steps of: receiving one or more fixed inputs including a monthly payment value and a down payment value; calculating a plurality of potential financial structures for the consumer product based upon the monthly payment value and the down payment value; and determining from the plurality of potential financial structures, a financial structure that provides a greatest profit for a seller of the consumer product.

Abstract: A method of determining a structure for financing a consumer product through a computer implemented process according to one embodiment comprising the steps of: receiving one or more fixed inputs including a monthly payment value and a down payment value; calculating a plurality of potential financial structures for the consumer product based upon the monthly payment value and the down payment value; and determining from the plurality of potential financial structures, a financial structure that provides a greatest profit for a seller of the consumer product.

Abstract: The invention concerns the generation of schematics from analog netlists. Various implementations of the invention provide that an analog netlist defining a number of hardware components and the connectivity between the hardware components is identified. Subsequently, the netlist is sorted and partitioned into component groups. The component groups are arranged and lines are routed between the component groups. The corresponding hardware components are arranged within the component groups and a schematic corresponding to the arranged hardware components is generated.

Abstract: A method of determining a structure for financing a consumer product through a computer implemented process according to one embodiment comprising the steps of: receiving one or more fixed inputs including a monthly payment value and a down payment value; calculating a plurality of potential financial structures for the consumer product based upon the monthly payment value and the down payment value; and determining from the plurality of potential financial structures, a financial structure that provides a greatest profit for a seller of the consumer product.