Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate information exchange using publish-subscribe with blockchain. An example apparatus includes a security manager to integrate a security service with an instruction execution flow in a distributed device environment. The security manager is to include a processor. The processor is to be configured to implement at least an executable hierarchical state machine to provide credential management and access management in conjunction with instruction execution according to an execution plan. The executable hierarchical state machine is to generate a security context for the execution plan to implement a guard condition governing a transition from a first state to a second state in accordance with the execution plan.

Abstract: Methods, apparatus, systems and articles of manufacture for re-use of a container in an edge computing environment are disclosed. An example method includes detecting that a container executed at an edge node of a cloud computing environment is to be cleaned, deleting user data from the container, the deletion of the user data performed without deleting the container from the memory of the edge node, restoring settings of the container to a default state; and storing information identifying the container, the information including a flavor of the container, the storing of the information to enable the container to be re-used by a subsequent requestor.

Abstract: Methods, systems and apparatus disclosed herein create an overlay of nodes to permit the nodes to engage in a peer-to-peer resource bidding process. An example apparatus at an edge of a network includes a first configurer to configure a network interface of a first node of the network in a first configuration, the first configuration to permit the first node to participate in a peer-to-peer resource bidding process with a plurality of other nodes of the network. The apparatus further includes a second configurer to configure the network interface of the first node of the network in a second configuration, the second configuration to prevent the first node from participation in the peer-to-peer resource bidding process.

Abstract: Methods, apparatus, systems and articles of manufacture to select a location of execution of a computation are disclosed. An example apparatus includes a cache digest interface to identify a node capable of performing a computation. A compute plan solver is to obtain a cost estimate of performing the computation from the node. Privacy weighting circuitry is to apply a privacy weighting value to the cost estimate to determine a weighted cost estimate. The compute plan solver is to select the node for performance of the computation based on the weighted cost estimate. A plan executor is to transmit a request for the selected node to perform the computation.

Abstract: Technologies for function as a service (FaaS) arbitration include an edge gateway, multiple endpoint devices, and multiple service providers. The edge gateway receives a registration request from a service provider that is indicative of an FaaS function identifier and a transform function. The edge gateway verifies an attestation received from the service provider and registers the service provider. The edge gateway receives a function execution request from an endpoint device that is indicative of the FaaS function identifier. The edge gateway selects the service provider based on the FaaS function identifier, programs an accelerator with the transform function, executes the transform function with the accelerator to transform the function execution request to a provider request, and submits the provider request to the service provider. The service provider may be selected based on an expected service level included in the function execution request. Other embodiments are described and claimed.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., non-transitory physical storage media) to provide trust topology selection for distributed transaction processing in computing environments are disclosed herein. Example distributed transaction processing nodes disclosed herein include a distributed transaction application to process a transaction in a computing environment based on at least one of a centralized trust topology or a diffuse trust topology. Disclosed example distributed transaction processing nodes also include a trusted execution environment to protect first data associated with a centralized trust topology and to protect second data associated with a diffuse trust topology. Disclosed example distributed transaction processing nodes further include a trust topology selector to selectively configure the distributed transaction application to use the at least one of the centralized trust topology or the diffuse trust topology to process the transaction.

Abstract: Examples herein relate to an interface selectively providing access to a memory region for a work request from an entity by providing selective access to a physical address of the memory region and selective access to a cryptographic key for use by a memory controller to access the memory region. In some examples, providing selective access to a physical address conversion is based on one or more of: validation of a certificate received with the work request and an identifier of the entity being associated with a process with access to the memory region. Access to the memory region can be specified to be one or more of: create, read, update, delete, write, or notify. A memory region can be a page or sub-page sized region. Different access rights can be associated with different sub-portions of the memory region, wherein the access rights comprise one or more of: create, read, update, delete, write, or notify.

Abstract: A persistence service for edge architected computing systems extends current storage and memory schemes of edge resources to expose interfaces to allow an endpoint, such as an IoT device or client device, to specify criteria for achieving persistence for data stored in an edge resource. The persistence interface extends the storage and memory controllers to store data in accordance with the criteria, including determining whether a local or remote edge resource is best able to store data persistently in a manner that satisfies the criteria. The criteria include a persistence service level agreement, including a required time to persistence, cost of persistence and reliability level of persistence. Only edge resources that contain media, including storage subsystems and/or memory, capable of storing data persistently while satisfying the criteria will be permitted to service the request.

Abstract: Methods and apparatus to execute a workload in an edge environment are disclosed. An example apparatus includes a node scheduler to accept a task from a workload scheduler, the task including a description of a workload and tokens, a workload executor to execute the workload, the node scheduler to access a result of execution of the workload and provide the result to the workload scheduler, and a controller to access the tokens and distribute at least one of the tokens to at least one provider, the provider to provide a resource to the apparatus to execute the workload.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to control processing of telemetry data at an edge platform. An example apparatus includes an orchestrator interface to, responsive to an amount of resources allocated to an orchestrator to orchestrate a workload at the edge platform meeting a first threshold, transmit telemetry data associated with the orchestrator to a computer to obtain a first orchestration result at a first granularity; a resource management controller to determine a second orchestration result at a second granularity to orchestrate the workload at the edge platform, the second granularity finer than the first granularity; and a scheduler to schedule a workload assigned to the edge platform based on the second orchestration result.

Abstract: Example methods, apparatus, systems, and articles of manufacture to offload and onload workloads in an edge environment are disclosed herein. Further examples and combinations thereof include the following: An apparatus includes an apparatus comprising a telemetry controller to determine that a workload is to be offloaded from a first resource to a second resource of a platform, and a scheduler to determine an instance of the workload that is compatible with the second resource, and schedule the workload to continue execution based on an exchange of a workload state from the first resource to the second resource, the workload state indicative of a previous thread executed at the first resource.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to aggregate telemetry data in an edge environment. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to at least generate a composition for an edge service in the edge environment, the composition representative of a first interface to obtain the telemetry data, the telemetry data associated with resources of the edge service and including a performance metric, generate a resource object based on the performance metric, generate a telemetry object based on the performance metric, and generate a telemetry executable based on the composition, the composition including at least one of the resource object or the telemetry object, the telemetry executable to generate the telemetry data in response to the edge service executing a computing task distributed to the edge service based on the telemetry data.

Abstract: Methods, apparatus, systems and articles of manufacture to determine provenance for data supply chains are disclosed. Example instructions cause a machine to at least, in response to data being generated, generate a local data object and object metadata corresponding to the data; hash the local data object; generate a hash of a label of the local data object; generate a hierarchical data structure for the data including the hash of the local data object and the hash of the label of the local data object; generate a data supply chain object including the hierarchical data structure; and transmit the data and the data supply chain object to a device that requested access to the data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage telemetry data in an edge environment. An example apparatus includes a publisher included in a first edge platform to publish a wish list obtained from a consumer, the wish list including tasks to execute, a commitment determiner to determine whether a commitment is viable to execute at least one of the tasks in the wish list, the commitment to be processed to identify the telemetry data, and a communication interface to establish a communication channel to facilitate transmission of the telemetry data from the first edge platform to a second edge platform.

Abstract: A system, method, and computer readable medium for measuring limb range of motion. The method includes initializing a scanning area. A classifier trained to recognize limbs is loaded into memory. A frame representing a 3D point cloud having at least one limb of a person in motion is captured. A box fitting algorithm is performed on the captured at least one limb to enable the classifier to identify the at least one limb. One or more boxes generated from the box fitting algorithm are sliced into a plurality of 2D point clouds to measure and record the circumference of each 2D point cloud to obtain limb range of motion parameters. The limb range of motion parameters are a maximum and a minimum size of the at least one limb as a function of soft tissue expansion and contraction of the limb while under pressure, force, and/or motion.

Abstract: MRC training can include providing a hot add notification to a UEFI BIOS FW, receiving, at an MRC agent of the FIMC and from the UEFI BIOS FW, the MRC training request, and performing, at the MRC agent in response to the MRC training request, an MRC training independent of an SMM associated with the apparatus.

Abstract: Dynamically identifying and utilizing an opportunistic device by performing at least the following within a discovery offloading module: receive an offloading alert message from a service device, wherein the offloading alert message indicates the service device is unable to provide one or more services to the client device, receive a discovery message from a candidate device, wherein the discovery message indicates the candidate device is capable of performing the services provided to the client device, select, using the dedicated execution environment, an opportunistic service device based on the discovery message from the candidate device; and trigger the restart of host execution instruction within the client device by obtaining the one or more services from the opportunistic service device, wherein the discovery offloading module operates independently from the host execution instructions within the client device.

Abstract: Technologies for fulfilling service requests in an edge architecture include an edge gateway device to receive a request from an edge device or an intermediate tier device of an edge network to perform a function of a service by an entity hosting the service. The edge gateway device is to identify one or more input data to fulfill the request by the service and request the one or more input data from an edge resource identified to provide the input data. The edge gateway device is to provide the input data to the entity associated with the request.

Abstract: Technologies for providing deduplication of data in an edge network includes a compute device having circuitry to obtain a request to write a data set. The circuitry is also to apply, to the data set, an approximation function to produce an approximated data set. Additionally, the circuitry is to determine whether the approximated data set is already present in a shared memory and write, to a translation table and in response to a determination that the approximated data set is already present in the shared memory, an association between a local memory address and a location, in the shared memory, where the approximated data set is already present. Additionally, the circuitry is to increase a reference count associated with the location in the shared memory.

Abstract: Dynamically identifying and utilizing an opportunistic device by performing at least the following within a discovery offloading module: receive an offloading alert message from a service device, wherein the offloading alert message indicates the service device is unable to provide one or more services to the client device, receive a discovery message from a candidate device, wherein the discovery message indicates the candidate device is capable of performing the services provided to the client device, select, using the dedicated execution environment, an opportunistic service device based on the discovery message from the candidate device; and trigger the restart of host execution instruction within the client device by obtaining the one or more services from the opportunistic service device, wherein the discovery offloading module operates independently from the host execution instructions within the client device.