Abstract: Novel tools and techniques are provided for implementing data storage and/or retrieval, and, more particularly, for implementing data associations. In various embodiments, an associations rules engine might query data aggregation data services to determine whether a first data object (which along with a first relationship rule that indicates a one-to-one relationship between the first data object and a corresponding second data object) is associated with one or more third data objects; might abstract the first data object, the first relationship rule, and the one or more third data objects; might update, in a metadata catalog, a catalog entry corresponding to the first data object with one or more associations among various data objects; and might provide a requesting computing system with access to the catalog entry corresponding to the first data object, the computing system performing one or more computational tasks using the associations stored in the catalog entry.

Abstract: Novel tools and techniques are provided for implementing telecommunications equipment health monitoring and management. In various embodiments, a computing system might receive, from a monitoring sensor(s), one or more characteristics of each of at least one of telecommunications equipment, telecommunications equipment batteries, or battery strings, in some cases via a network maintenance tunnel. The computing system might analyze the monitored one or more characteristics to identify each telecommunications equipment, each telecommunications equipment battery, or each battery string having equipment health issues.

Abstract: An edge computing telecommunications network is provided for efficiently generating and updating computing models for use at distributed devices connected to different edge compute sites of the network. A network orchestration system may track devices connected to the network and the edge compute sites to which they are connected. The devices may comprise limited computing power and may include sensors or other data collection mechanisms. Raw data may be provided from connected devices to one or more edge compute sites. Edge compute sites may be instructed, e.g., by the network orchestration system, whether to replicate the raw data, modify the data to make it ready for consumption by a computing model, replicate the modified data, refine the computing model, replicate the refined computing model, and/or share some or all of the raw data, modified data, and/or refined computing model with other edge computing sites and/or connected devices.

Abstract: Novel tools and techniques are provided for implementing intelligence enabled things (“IET”). In various embodiments, a first IET tag affixed to a first object among a plurality of objects might receive information regarding the first object and/or nearby objects. The first IET tag might determine a status of the first object and/or the nearby objects based at least partly on the received information and based at least partly on first data assigned to the first IET tag. The first IET tag might analyze the determined status to determine whether the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects. Based on a determination that the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects, the first IET tag might autonomously self-report to a computing system a state of the first object and/or the nearby objects.

Abstract: Novel tools and techniques are provided for implementing learning technologies, and, more particularly, to methods, systems, and apparatuses for implementing artificial intelligence (“AI”) -powered augmented reality learning devices. In various embodiments, a computing system might receive captured images of positions of a user’s eyes correlated with particular portions of first content being displayed on a display device; might identify a first object(s) of a plurality of objects being displayed on the display device that correspond to the positions of the user’s eyes as the first content is being displayed, based on analysis of the received captured images of the positions of the user’s eyes; might send, to a content source, a request for additional content containing the identified first object(s); and based on a determination that second content containing the identified first object(s) is available, might retrieve and display the second content on the display surface of the display device.

Abstract: Novel tools and techniques are provided for implementing firewall functionalities, and, more particularly, to methods, systems, and apparatuses for implementing high availability (“HA”) web application firewall (“WAF”) functionalities. In various embodiments, a first computing system might monitor network communications between a client and a server providing access to software applications, and might determine whether latency has been introduced as a result of at least one first WAF container having been launched and whether any introduced latency exceeds a predetermined threshold, each first WAF container being tuned to a corresponding software application and protecting the software application from network attacks. Based on a determination that latency has been introduced and based on a determination that the introduced latency exceeds the predetermined threshold, one or more second WAF containers may be launched, each being tuned to the corresponding software application.

Abstract: Novel tools and techniques for network data plane management are provided. A system includes a host machine that includes a database, processor, and non-transitory computer readable media comprising instructions executable by the processor to obtain, via the database, a network configuration, spawn a container according to the network configuration, wherein the container is configured, based on the network configuration, to be coupled to a network overlay via a network interface, receive, via the network interface, incoming data associated with the container, the incoming data having attached one or more attached network data attributes, and identify, via the database, the attached one or more network data attributes attached to the incoming data as one or more network data attributes of the network data model.

Abstract: An edge computing telecommunications network is provided for efficiently generating and updating computing models for use at distributed devices connected to different edge compute sites of the network. A network orchestration system may track devices connected to the network and the edge compute sites to which they are connected. The devices may comprise limited computing power and may include sensors or other data collection mechanisms. Raw data may be provided from connected devices to one or more edge compute sites. Edge compute sites may be instructed, e.g., by the network orchestration system, whether to replicate the raw data, modify the data to make it ready for consumption by a computing model, replicate the modified data, refine the computing model, replicate the refined computing model, and/or share some or all of the raw data, modified data, and/or refined computing model with other edge computing sites and/or connected devices.

Abstract: Novel tools and techniques are provided for implementing intelligence enabled things (“IET”). In various embodiments, a first IET tag affixed to a first object among a plurality of objects might receive information regarding the first object and/or nearby objects. The first IET tag might determine a status of the first object and/or the nearby objects based at least partly on the received information and based at least partly on first data assigned to the first IET tag. The first IET tag might analyze the determined status to determine whether the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects. Based on a determination that the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects, the first IET tag might autonomously self-report to a computing system a state of the first object and/or the nearby objects.

Abstract: Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.

Abstract: Novel tools and techniques are provided for implementing firewall functionalities, and, more particularly, to methods, systems, and apparatuses for implementing high availability (“HA”) web application firewall (“WAF”) functionalities. In various embodiments, a first computing system might monitor network communications between a client and a server providing access to software applications, and might determine whether latency has been introduced as a result of at least one first WAF container having been launched and whether any introduced latency exceeds a predetermined threshold, each first WAF container being tuned to a corresponding software application and protecting the software application from network attacks. Based on a determination that latency has been introduced and based on a determination that the introduced latency exceeds the predetermined threshold, one or more second WAF containers may be launched, each being tuned to the corresponding software application.

Abstract: Novel tools and techniques are provided for implementing learning technologies, and, more particularly, to methods, systems, and apparatuses for implementing artificial intelligence (“AI”)-powered augmented reality learning devices. In various embodiments, a computing system might receive captured images of positions of a user's eyes correlated with particular portions of first content being displayed on a display device; might identify a first object(s) of a plurality of objects being displayed on the display device that correspond to the positions of the user's eyes as the first content is being displayed, based on analysis of the received captured images of the positions of the user's eyes; might send, to a content source, a request for additional content containing the identified first object(s); and based on a determination that second content containing the identified first object(s) is available, might retrieve and display the second content on the display surface of the display device.

Abstract: A comb copolymer viscosity modifier may be made by polymerization comprising at least, or consisting essentially of, the following monomers: (a) (optionally from 7.0 wt % to 18 wt %, by repeat units, of) a hydrogenated polybutadiene-based (alk)acrylate ester macromonomer; (b) (optionally from 33 wt % to 64 wt %, by repeat units, of) a C3-C8alkyl (alk)acrylate ester monomer; (c) a C12-C24 alkyl (alk)acrylate ester monomer; and (d) (optionally from 3.0 wt % to 25 wt %, by repeat units, of) H-endcapped, C1-C18 alkyl-endcapped, or C6-C20 aryl-, aralkyl-, or alkaryl-endcapped C2-C6 oxyalkyl or C2-C6 oligo(alkylene glycol)-based (alk)acrylate ester monomer, wherein repeat units based on monomer (c) and/or monomer (d) comprise at least 21.0 wt % (and optionally up to 35.0 wt %) of repeat units of the comb copolymer viscosity modifier. Lubricant compositions comprising the comb copolymer viscosity modifier, as well as uses thereof and methods for modifying viscosity and dispersancy, are also contemplated.

Abstract: Novel tools and techniques for network data plane management are provided. A system includes a host machine that includes a database, processor, and non-transitory computer readable media comprising instructions executable by the processor to obtain, via the database, a network configuration, spawn a container according to the network configuration, wherein the container is configured, based on the network configuration, to be coupled to a network overlay via a network interface, receive, via the network interface, incoming data associated with the container, the incoming data having attached one or more attached network data attributes, and identify, via the database, the attached one or more network data attributes attached to the incoming data as one or more network data attributes of the network data model.

Abstract: Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.

Abstract: An edge computing telecommunications network is provided for efficiently generating and updating computing models for use at distributed devices connected to different edge compute sites of the network. A network orchestration system may track devices connected to the network and the edge compute sites to which they are connected. The devices may comprise limited computing power and may include sensors or other data collection mechanisms. Raw data may be provided from connected devices to one or more edge compute sites. Edge compute sites may be instructed, e.g., by the network orchestration system, whether to replicate the raw data, modify the data to make it ready for consumption by a computing model, replicate the modified data, refine the computing model, replicate the refined computing model, and/or share some or all of the raw data, modified data, and/or refined computing model with other edge computing sites and/or connected devices.

Abstract: Novel tools and techniques are provided for implementing data storage and/or retrieval, and, more particularly, for implementing data associations. In various embodiments, an associations rules engine might query data aggregation data services to determine whether a first data object (which along with a first relationship rule that indicates a one-to-one relationship between the first data object and a corresponding second data object) is associated with one or more third data objects; might abstract the first data object, the first relationship rule, and the one or more third data objects; might update, in a metadata catalog, a catalog entry corresponding to the first data object with one or more associations among various data objects; and might provide a requesting computing system with access to the catalog entry corresponding to the first data object, the computing system performing one or more computational tasks using the associations stored in the catalog entry.

Abstract: Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.

Abstract: Novel tools and techniques are provided for implementing firewall functionalities, and, more particularly, to methods, systems, and apparatuses for implementing high availability (“HA”) web application firewall (“WAF”) functionalities. In various embodiments, a first computing system might monitor network communications between a client and a server providing access to software applications, and might determine whether latency has been introduced as a result of at least one first WAF container having been launched and whether any introduced latency exceeds a predetermined threshold, each first WAF container being tuned to a corresponding software application and protecting the software application from network attacks. Based on a determination that latency has been introduced and based on a determination that the introduced latency exceeds the predetermined threshold, one or more second WAF containers may be launched, each being tuned to the corresponding software application.

Abstract: An edge computing telecommunications network is provided for efficiently generating and updating computing models for use at distributed devices connected to different edge compute sites of the network. A network orchestration system may track devices connected to the network and the edge compute sites to which they are connected. The devices may comprise limited computing power and may include sensors or other data collection mechanisms. Raw data may be provided from connected devices to one or more edge compute sites. Edge compute sites may be instructed, e.g., by the network orchestration system, whether to replicate the raw data, modify the data to make it ready for consumption by a computing model, replicate the modified data, refine the computing model, replicate the refined computing model, and/or share some or all of the raw data, modified data, and/or refined computing model with other edge computing sites and/or connected devices.