A computing network includes nodes of different work groups. Nodes of a work group are dedicated to transactions of the work group. If a node of a first work group is predicted to have an idleness window, a second work group may borrow the node to execute a transaction of the second work group. At least a subset of steps of the transaction may be categorized into a step group. Trees of a transaction may be categorized into one or more tree groups. A node is selected for executing a transaction, if the predicted idleness duration of the node is sufficient relative to the predicted runtime of the transaction, the step group, and/or tree group. A credit system is maintained. A first work group transfers a credit to a second work group when borrowing a node of the second work group for executing a transaction of the first work group.

An approach to implement an extract, transform and load system, a queue is provided for holding units of data between extraction and transformation. When units of data suffer a rate limit error in the load phase, they are requeued so they can be resubmitted for transformation. The contents of the queue are monitored and, if too many requeued units of data are detected in the queue, then this is taken as an indicator of an unacceptable number of rate limit errors and active pacing management is triggered. A retry schedule is defined for the requeued units of data. Extraction is temporarily halted to allow the requeued units of data to be retransformed without more units of data queuing up. Then, after the suspension is lifted, a pacing delay is inserted between subsequent extract events to avoid the same load phase bottleneck recurring.

Embodiments of the present invention provide a system for leveraging distributed register technology to securely monitoring, tracking, and recommending utilization of resources. The system is configured for gathering one or more input parameters from one or more entity systems, collecting activity data from one or more third party systems, analyzing the activity data collected from the one or third party systems, generating one or more recommendations based on the one or more input parameters and analyzing the activity data, wherein the one or more recommendations are associated with one or more activities, estimating resource usage for the one or more recommendations, and allocating resources to the one or more recommendations.

Embodiments of systems and methods for managing compute resources and runtime object load status in a platform framework are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, at a platform framework via an Application Programming Interface (API), an arbitration policy; notify an application, by the platform framework via the API, of a state change with respect to the arbitration policy based upon a change in context; receive, at the platform framework from the application via the API, an identification of at least one compute resource to execute a workload associated with the arbitration policy; and offload the workload to the compute resource.

Adaptive control of deadline-constrained workload migrations can include monitoring migrations of workloads forming a wave migrating from a source computing node to a target computing node. The monitoring can be performed in real time. The migrations can be performed by transferring image replications of each workload over a data communication network. Based on an expected bandwidth availability, a likelihood that a cutover deadline associated with the wave is exceeded prior to completing a migration of each of the wave's workloads can be predicted. Migration of one or more selected workloads can be suspended in response to determining that exceeding the cutover deadline prior to completing migration of each of the wave's workloads is likely.

interface circuitry to detect a request to obtain a resource request from a workload and processor circuitry including one or more of: at least one of a central processing unit, a graphic processing unit or a digital signal processor, the at least one of the central processing unit, the graphic processing unit or the digital signal processor having control circuitry, arithmetic and logic circuitry, and one or more registers, the processor circuitry to execute instructions to: determine if resources are available for the workload on an infrastructure processing unit managed system; negotiate with the infrastructure processing unit to determine if an executing workload can be migrated; in response to determining that an executing workload can be migrated, cause the executing workload to be migrated; and cause the workload to execute on the resource.

An infrastructure manager for placing workloads for performance across available infrastructure including on-demand infrastructure and dedicated infrastructure includes a storage device for storing an available infrastructure repository and a processor. The processor obtains a workload placement request for a workload of the workloads; makes a determination that the workload has a special purpose hardware requirement; in response to the determination: identifies, using the available infrastructure repository, potential placement locations in the available infrastructure for the workload that each meet the special purpose hardware requirement; and places the workload at one of the potential placement locations.

There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction.

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive first monitoring data indicating a first infrastructure condition occurring at an on-premise infrastructure controller, determine a first load state of the on-premise infrastructure controller based on the first infrastructure condition and adjust a consistency level of the on-premise infrastructure controller to a first level of the consistency based on the first state.

A method for monitoring multiple servers in one or more server clusters includes collecting and recording sensor data (SDR data) and storing the SDR as a predetermined file format into a specified storage area. The SDR stored in the specified storage area is analyzed according to a predetermined analysis rule to determine whether the SDR comprises data indicating abnormal functioning on a moment-by-moment basis SDR. When the SDR indicates an abnormality, SDR warning information corresponding to the abnormality SDR is outputted. A server monitoring device utilizing the method and a non-transitory storage medium are also provided.