Systems and methods for performing self-contained posture assessment from within a protected portable-code workspace are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory having program instructions that, upon execution, cause the IHS to: transmit, from an orchestration service to a local agent, a workspace definition that references an application, where the application comprises a first portion of code provided by a developer and a second portion of code provided by the orchestration service; and receive, from a local agent at the orchestration service, a message in response to the execution of the second portion of code within a workspace instantiated based upon the workspace definition. The second portion of code may inspect the contents of the runtime memory of the workspace upon execution, for example, by performing a stack canary check, a hash analysis, a boundary check, and/or a memory scan.

Systems and methods adjust workspaces based on available hardware resource of an IHS (Information Handling System) by which a user operates a workspace supported by a remote orchestration service. A security context and a productivity context of the IHS are determined based on reported context information. A workspace definition for providing access to a managed resource is selected based on the security context and the productivity context. A notification specifies a hardware resource of the IHS that is not used by the workspace definition, such as a microphone or camera that has not been enabled for use by workspaces. A productivity improvement that results from the updated productivity context that includes use of the first hardware resource is determined. Based on the productivity improvement, an updated workspace definition is selected that includes use of the first hardware resource in providing access to the managed resource via the IHS.

Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.

A communication device includes a processing part and a communication part that communicates with one or more slaves. The processing part has a function of executing communication processing and setting processing. The communication processing is processing for transmitting a main frame including main data from the communication part to one or more slaves in a first period. The setting processing is processing for setting a second period shorter than the first period and a time slot allocated to at least one slave among the one or more slaves in every second period.

In a method, an instance management node receives a request for creating a service instance; the instance management node obtains a cache configuration corresponding to the service instance; and the instance management node creates the service instance on a computing node, and creates a cache instance on the computing node based on the cache configuration. In this way, the service instance may provide a service by using the matched cache instance.

Introduced here are insertion schemes in which queues can be branched into one or more sub-queues for more effective management of queuing elements. Often, a computing device will have a primary buffer into which queuing elements are populated for execution by a processor. However, the amount of contiguous memory space allocated for the primary buffer may be fixed. To address this, a queue manager may insert indicators that link to secondary buffers into the primary buffer in order to expand the number of effective entries in the primary buffer.

A system and method for automatically scaling consumer servers in a data processing system. To build an automatic scaling system, the present disclosure allows consumers to obtain additional information, e.g., the number of events that await to be read from an aggregator when receiving an event from the aggregator. This additionally obtained number provides a direct gauge for the data processing system to determine when the consumers are over-provisioned, i.e., when the number of events left to be read is close to zero, as well as when the consumers are under-provisioned, e.g., when the number of events left to be read continues to increase. As a result, the consumers can be automatically scaled to handle the dynamic data processing demand while providing optimal resource allocation.

Techniques are described for performing latency-aware load balancing. In some examples, a computing device communicably coupled to a plurality of service endpoints that are in motion with respect to the computing device may receive data to be processed. The computing device may select, based at least in part on a communication latency of each of the plurality of service endpoints and a predicted compute latency of each of the plurality of service endpoints, a service endpoint out of the plurality of service endpoints to process the data. The computing device may send the data to the selected service endpoint for processing.

Techniques for load balancing communication sessions in a networked computing environment are described herein. The techniques may include establishing a first communication session between a client device and a first computing resource of a networked computing environment. Additionally, the techniques may include storing, in a data store, data indicating that the first communication session is associated with the first computing resource. The techniques may further include receiving, at a second computing resource of the networked computing environment, traffic associated with a second communication session that was sent by the client device, and based at least in part on accessing the data stored in the data store, establishing a traffic redirect such that the traffic and additional traffic associated with the second communication session is sent from the second computing resource to the first computing resource.

Methods and devices for creating and operating a combined network and computational slice instance (NCSI) in a Multi-access Edge Computing (MEC) scenario. Communication and computational resources may be reserved by a NCSI controller for the NCSI. The communication resources may include network slices and the computational resources may include MEC computational resources of one or more MEC servers. The reserved resources may be selected based on quality of service (QoS) requirements of UEs that will utilize the NCSI. During operation, reserved resources for the NCSI may be dynamically renegotiated based on an aggregate load of the NCSI, the QoS of data traffic, and/or updated QoS requirements of the UEs.