Abstract: Each module of a plurality of modules receives intent metadata associated with a data product instance of a data mesh. Each module corresponds to a unique data governance category of a plurality of data governance categories and a request associated with data was intercepted at the data product instance. Each module receives policy metadata associated with the data governance category corresponding to the module. Each modules determines, based on the intent metadata and the policy metadata, whether the request is valid for the data governance category corresponding to the module. Each modules transmits an indication of whether the request is valid for the module.

Abstract: The current invention is a novel addition to the field and comprises a self-sensing high performance fiber reinforced Geopolymer composite (HPFR-GPC) with self-sensing ability. In one or more embodiment, the self-sensing abilities are created by the addition of high performance fibers into a Geopolymer composites. The HPFR-GPC exhibits smart, high performance, energy efficient, and sustainability characteristics including: enhanced tensile ductility, toughness, and strain hardening (including crack width control); improved piezoresistive effects; utilization of industrial by-product; high resistance to acid attacks; and lightweight, low density. When compared to current available embedded or attachable sensors, the current invention offers lower cost, higher durability, and a larger sensing volume.

Abstract: A Services Delivery Platform (SDP) architecture is provided that is configured to onboard new data sets into an SDP data lake. The SDP enables the crowdsourcing of data on-boarding by configuring this process into an interactive, intuitive, step-by-step guided workflow while governing/controlling key functions like verification, acceptance and execution.

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

Abstract: Nano-reinforced materials hold the potential to redefine traditional materials both in terms of performance and potential applications. Dispersing carbon nanofibers (“CNF”) in Hot Mix Asphalt mixtures creates a piezoresistive effect and classifies the new mixture as a “smart material.” The current invention uses the electromechanical capabilities of carbon fibers to sense its own strain by way of electrical resistivity to develop a Self-sensing Piezoresistive Hot Mix Asphalt.

Abstract: The current invention is a novel addition to the field and comprises a self-sensing high performance fiber reinforced Geopolymer composite (HPFR-GPC) with self-sensing ability. In one or more embodiment, the self-sensing abilities are created by the addition of high performance fibers into a Geopolymer composites. The HPFR-GPC exhibits smart, high performance, energy efficient, and sustainability characteristics including: enhanced tensile ductility, toughness, and strain hardening (including crack width control); improved piezoresistive effects; utilization of industrial by-product; high resistance to acid attacks; and lightweight, low density. When compared to current available embedded or attachable sensors, the current invention offers lower cost, higher durability, and a larger sensing volume.

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

Abstract: Systems, methods, and computer-readable media for identifying an optimal cluster configuration for performing a job in a remote cluster computing system. In some examples, one or more applications and a sample of a production load as part of a job for a remote cluster computing system is received. Different clusters of nodes are instantiated in the remote cluster computing system to form different cluster configurations. Multi-Linear regression models segmented into different load regions are trained by running at least a portion of the sample on the instantiated different clusters of nodes. Expected completion times of the production load across varying cluster configurations are identified using the multi-linear regression models. An optimal cluster configuration of the varying cluster configurations is determined for the job based on the identified expected completion times.

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

Abstract: The present invention is a method of automated nanoparticle spraying and an apparatus for same. In one embodiment, the nanoparticles are sprayed over reinforced fabrics, such as for the manufacturing of composite materials. The developed method can control the amount of nanoparticles to be added to the composites with the capability to selectively reinforce localized areas of the fabrics based on the load distribution for a given application.

Abstract: A Services Delivery Platform (SDP) architecture is provided that is configured to onboard new data sets into an SDP data lake. The SDP enables the crowdsourcing of data on-boarding by configuring this process into an interactive, intuitive, step-by-step guided workflow while governing/controlling key functions like verification, acceptance and execution.

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

Abstract: Systems, methods, and computer-readable media for identifying an optimal cluster configuration for performing a job in a remote cluster computing system. In some examples, one or more applications and a sample of a production load as part of a job for a remote cluster computing system is received. Different clusters of nodes are instantiated in the remote cluster computing system to form different cluster configurations. Multi-Linear regression models segmented into different load regions are trained by running at least a portion of the sample on the instantiated different clusters of nodes. Expected completion times of the production load across varying cluster configurations are identified using the multi-linear regression models. An optimal cluster configuration of the varying cluster configurations is determined for the job based on the identified expected completion times.

Abstract: The current invention is a novel addition to the field and comprises a self-sensing high performance fiber reinforced Geopolymer composite (HPFR-GPC) with self-sensing ability. In one or more embodiment, the self-sensing abilities are created by the addition of high performance fibers into a Geopolymer composites. The HPFR-GPC exhibits smart, high performance, energy efficient, and sustainability characteristics including: enhanced tensile ductility, toughness, and strain hardening (including crack width control); improved piezoresistive effects; utilization of industrial by-product; high resistance to acid attacks; and lightweight, low density. When compared to current available embedded or attachable sensors, the current invention offers lower cost, higher durability, and a larger sensing volume.