Abstract: Techniques are described herein for service chaining in fabric networks such that hardware resources can be preserved without service nodes needing additional capabilities. The techniques may include storing a first configuration associated with a first VRF instance of a service forwarding node that is connected to a first service of a service chain sequence. The first configuration may indicate an identifier and a type associated with a second service of the service chain sequence where traffic is to be sent after the first service. Additionally, the techniques may also include storing a second configuration associated with a second VRF instance of the service forwarding node that is connected to the second service. The second configuration may indicate that the second service is a last service of the service chain sequence. When traffic is received at the service forwarding node, the service forwarding node can determine whether the traffic is pre-service traffic or post-service traffic.

Abstract: This disclosure describes techniques for employing an adaptive mechanism in communications among network devices. Adaptive mechanism techniques may include adapting network operations relative to characteristics of devices and/or network access technologies or mechanisms used in the network. Adaptation may help to accommodate a wider variety of types of devices. For instance, adaptive mechanism techniques may include determining, based on characteristics of a device in the network, a forwarding mechanism to be used at an access device to forward data traffic from the device to another device via the network. As such, adaptive mechanism techniques may provide more efficient integration of devices within a complex network, thereby improving network operations.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor receives a request having configurable filters and parameters from a consumer service to obtain data; invokes, in response to receiving the request, a service application programming interface (API) for the data; fetches requested data from a legacy data source in response to calling the service API; fetches data corresponding to the same request having the same configurable filters and parameters from a target data source; compare the fetched data from the legacy data source to the fetched data from the target data source; generates, in response to comparing, a data quality validation score; and when it is determined that the data quality validation score is equal to or more that predetermined threshold value, validates the target data source for migration readiness and terminating the legacy data source.

Abstract: An electronic device comprising a lower deck and an upper deck adjacent to a source. Each of the lower deck and the upper deck comprise tiers of alternating conductive materials and dielectric materials. Each of the lower deck and the upper deck also comprise an array region and one or more non-array regions. Memory pillars are in the lower deck and the upper deck of the array region and the memory pillars are configured to be operably coupled to the source. Dummy pillars are in the upper deck of the one or more non-array regions and the dummy pillars are configured to be electrically isolated from the source. Another conductive material is in the upper deck and the lower deck of the one or more non-array regions. Additional electronic devices and related systems and methods of forming an electronic device are also disclosed.

Abstract: In one example, a method for dynamically scaling computer resources in a cloud computing environment is disclosed. The method includes determining lag state information of a message broker. The message broker handles real-time data exchanged with application instances running in a cloud service. The method includes determining whether the lag state information indicates a change to the application instances running in the cloud service. If the lag state information indicates a change, the method includes providing instructions to the cloud service to alter the application instances.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor receives a request having configurable filters and parameters from a consumer service to obtain data; invokes, in response to receiving the request, a service application programming interface (API) for the data; fetches requested data from a legacy data source in response to calling the service API; fetches data corresponding to the same request having the same configurable filters and parameters from a target data source; compare the fetched data from the legacy data source to the fetched data from the target data source; generates, in response to comparing, a data quality validation score; and when it is determined that the data quality validation score is equal to or more that predetermined threshold value, validates the target data source for migration readiness and terminating the legacy data source.

Abstract: A system is disclosed. A node may include a resource. A lock manager may include storage for a data structure for a lock. The data structure may include a first identifier for the resource, a second identifier for an application, and a status for the lock.

Abstract: In accordance with some aspects of the present disclosure, a non-transitory computer readable medium is disclosed. In some embodiments, the non-transitory computer readable medium includes instructions that, when executed by a processor, cause the processor to receive, from a workload hosted on a host of a cluster, first I/O traffic programmed according to a first I/O traffic protocol supported by a cluster-wide storage fabric exposed to the workload as being hosted on the same host. In some embodiments, the workload is recovered by a hypervisor hosted on the same host. In some embodiments, the non-transitory computer readable medium includes the instructions that, when executed by the processor, cause the processor to adapt the first I/O traffic to generate second I/O traffic programmed according to a second I/O traffic protocol supported by a repository external to the storage fabric and forward the second I/O traffic to the repository.

Abstract: A method for providing ingestion checkpointing from an event topic is disclosed. The method includes polling, via an event consumer, a message broker to initiate consumption of events from the event topic, the event topic relating to event storage; checkpointing, based on a result of the polling, the consumption of the events by writing corresponding data in multiple stages to a checkpointing durable store; inserting an event pending status for each of the events in an events time bucket table; committing, via the event consumer, the consumption of the events; initiating event processing for the events; and updating the events time bucket table with an event complete status when consumption of the events are completed.

Abstract: Techniques and architecture are described that utilize switchport protected flags to provide switchport protected functionality across network devices, e.g., switches, routers, etc., in fabric networks. For example, a first port of a first network device of a fabric network receives a packet from a first host destined for a second host. The second host is onboarded to the fabric network via a second port of a second network device. It is determined (i) if a first protected flag associated with the first port of the first network device is set as true and (ii) if a second protected flag associated with the second host is set as true. Based at least in part on (i) the first protected flag associated with the first port being set as true and (ii) the second protected flag being set as true, the first network device drops the packet.

Abstract: Techniques for a Software-Defined Networking (SDN) controller associated with a multisite network to implement jurisdictional data sovereignty polices in a multisite network, route network traffic flows between user sites and destination services over one or more provider sites, and/or perform a routing operation on the network traffic flow(s) based on the jurisdictional data sovereignty policies. The jurisdictional data sovereignty polices may be implemented using destination group tags (DGTs) and/or source group tags (SGTs). A secure access service edge (SASE) associated with the network controller may generate, store, and distribute the DGTs to provider sites and/or the SGTs to user sites. Based on the SGT and/or DGT associated with a network traffic flow, one or more services may be applied to the network traffic flow, and the network traffic flow may be routed through a particular region of a software-defined access (SDA) transit.

Abstract: Methods, systems, and platforms for managing machine learning models are described. A model registry system receives first data including a model and second data including metadata and at least one metric of the model. Via a local network, the first data is stored to a data storage device and the second data is sent to an application programming interface (API). The first data is retrieved from the data storage device to a model use case program operating in a software development environment native to where the model registry system stores the model. The second data, including the metadata and the at least one metric of the model, is sent to a user interface (UI) via the API. The stored model can be deployed from the model use case program via the API.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Abstract: Described herein is an anti-dandruff composition including at least two anti-dandruff actives selected from a punicalagin composition; a first monoterpenoid composition, or a second monoterpenoid composition; and a dermatologically-acceptable carrier. The two or more anti-dandruff actives are present in the anti-dandruff composition in an effective amount to treat or prevent dandruff caused by the proliferation of Malassezia furfur.

Abstract: In accordance with an embodiment, described herein are systems and methods for (a) determining workflow characteristics for use with an integration cloud service or other computing environment; and (b) providing a marketplace that employs a conversational interface to guide users in selecting and retrieving integration artifacts, for example workflows or other assets, to address particular needs. A collection service can receive an indication of an integration archive that defines a business workflow or integration flow, wherein a characteristics server can then extract and persist the characteristics associated with the workflow, for subsequent use in providing a determination of workflows. In accordance with an embodiment, a digital assistant can be employed to allow discovery of workflows by building a discovery criteria based on a knowledge of characteristics associated with various business workflows or integration flows, and through interactive conversations by a user with the digital assistant.

Abstract: In accordance with an embodiment, described herein is a system and method for behavior injection in a cloud computing platform (cloud platform) or software application, including the use of injection points to modify the operation or behavior of a tenant platform environment. An injection service enables a cloud platform provider to configure software code/behaviors to be injected into cloud platform modules or other components associated with tenants, including mapping, for a tenant-specific globally unique identifier (GUID) associated with a lifecycle activity injection point, a behavior including a platform code or process and metadata that can be used to inject and modify operation of a corresponding module. The described approach enables a cloud platform to expose behavioral aspects of the cloud platform or a software application executing therein, so that they can be controlled or modified in a dynamic manner, from outside of the cloud platform.

Abstract: Aspects of the present disclosure relate to identifying relationships between entities in a user graph relative to a specific user. The identified relationships may provide user specific insights on related entities from across the enterprise environment. The insights may be provided to the user in a graphical user interface which may organize the insights into categories of information with selectable features to permit user interaction with the insights. Thus, the insights provided from the user graph or user sub-graph according to aspects described herein, may improve productivity and the potential for collaboration across the enterprise environment while reducing user workload.

Abstract: Described herein is an anti-dandruff composition including at least two anti-dandruff actives selected from a punicalagin composition; a first monoterpenoid composition, or a second monoterpenoid composition; and a dermatologically-acceptable carrier. The two or more anti-dandruff actives are present in the anti-dandruff composition in an effective amount to treat or prevent dandruff caused by the proliferation of Malassezia furfur.

Abstract: In accordance with an embodiment, described herein are systems and methods for (a) determining workflow characteristics for use with an integration cloud service or other computing environment; and (b) providing a marketplace that employs a conversational interface to guide users in selecting and retrieving integration artifacts, for example workflows or other assets, to address particular needs. A collection service can receive an indication of an integration archive that defines a business workflow or integration flow, wherein a characteristics server can then extract and persist the characteristics associated with the workflow, for subsequent use in providing a determination of workflows. In accordance with an embodiment, a digital assistant can be employed to allow discovery of workflows by building a discovery criteria based on a knowledge of characteristics associated with various business workflows or integration flows, and through interactive conversations by a user with the digital assistant.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving clickstream information of a customer visiting a website of an organization, the clickstream information is indicative of an active web session of the customer on the website, and predicting, using a machine learning (ML) model, a propensity of the customer performing a particular action during the active web session on the website. The method also includes, by the computing device, providing proactive customer support to the customer based on the predicted propensity of the customer performing the particular action. The website may be a support website of the organization. The particular action may include contacting technical support of the organization and/or making a purchase during the active web session of the customer on the website.