Abstract: Systems and methods for compute resource configuration, verification, and remediation are provided herein. An example method includes verifying compliance of an operating system and compute assets provisioned configured within a middleware of a computing device using a pre-defined configuration profile, the compliance being determined by comparison of run-time hardware and software attributes of the compute assets to the pre-defined configuration profile comprising hardware and software requirements for the client of a blockchain implementation.

Abstract: Systems and methods for compute resource configuration, verification, and remediation are provided herein. An example method includes verifying compliance of an operating system and compute assets provisioned configured within a middleware of a computing device using a pre-defined configuration profile, the compliance being determined by comparison of run-time hardware and software attributes of the compute assets to the pre-defined configuration profile comprising hardware and software requirements for the client of a blockchain implementation.

Abstract: Systems and methods for compute resource configuration, verification, and remediation are provided herein. An example method includes verifying compliance of an operating system and compute assets provisioned configured within a middleware of a computing device using a pre-defined configuration profile, the compliance being determined by comparison of run-time hardware and software attributes of the compute assets to the pre-defined configuration profile comprising hardware and software requirements for the client.

Abstract: Systems and methods for compute resource configuration, verification, and remediation are provided herein. An example method includes verifying compliance of an operating system and compute assets provisioned configured within a middleware of a computing device using a pre-defined configuration profile, the compliance being determined by comparison of run-time hardware and software attributes of the compute assets to the pre-defined configuration profile comprising hardware and software requirements for the client.

Abstract: A computer-implemented method for determining, from a system including a plurality of data center resources, at least one configuration of data center resources for an implementation of an application. The method includes receiving application information and receiving information regarding known internal features up the data center resources. The method also includes provisioning the system of data center resources and creating possible configurations of data center resources for implementing application. The method also includes correlating models and data center resources to create an interrelated representation of the models and the data center resources. The models predict a relationship of parameters for the possible configurations.

Abstract: A computer-implemented method for determining, from a system including a plurality of data center resources, at least one configuration of data center resources for an implementation of an application. The method includes receiving application information and receiving information regarding known internal features up the data center resources. The method also includes provisioning the system of data center resources and creating possible configurations of data center resources for implementing application. The method also includes correlating models and data center resources to create an interrelated representation of the models and the data center resources. The models predict a relationship of parameters for the possible configurations.

Abstract: Methods and systems (200) for reducing losses related to perishables are disclosed. The perishables are grouped based on the use-by-date (UBD) and a quantity of at risk perishables are determined (210). A financial impact of the at risk perishables is calculated for each group (220). Pricing is dynamically determined for the perishables based on the financial impact and the UBD (230) and a price display is updated to indicate the pricing of the perishables (240).

Abstract: Methods and systems (200) for reducing losses related to perishables are disclosed. The perishables are grouped based on the use-by-date (UBD) and a quantity of at risk perishables are determined (210). A financial impact of the at risk perishables is calculated for each group (220). Pricing is dynamically determined for the perishables based on the financial impact and the UBD (230) and a price display is updated to indicate the pricing of the perishables (240).