Aspects of the disclosure provide for mechanisms for memory protection of virtual machines in a computer system. A method of the disclosure includes: determining a plurality of host latency times for a plurality of processor power states of a processor of a host computer system; comparing, by a hypervisor executed on the host computer system, each of the host latency times to a target latency time associated with a virtual machine running on the host computer system; mapping the plurality of processor power states to a plurality of host power states in view of the comparison; and providing the host power states to the virtual machine.

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 specialized in-memory database health check process is utilized to resolve dependencies in a resource indicating requirements for an instance of an in-memory database. Specifically, when an instance of an in-memory database is created in response to a request, a list of one or more component handlers are obtained. These component handlers are modular functions, separate from each other but potentially dependent on one or more other component handlers, and act to validate various requirements listed in a resource for the request. Each of the component handlers are executed individually during execution of a Reconcile function. To the extent that the execution of any component handlers in the list is unsuccessful, the Reconcile function is rerun for another iteration. These iterations continue until all component handlers report back as successful. Instance creation is then considered successful and the instance of the in-memory database can be utilized by users.

A system for monitoring server and application events, metrics or topology of an airport management system in a cloud infrastructure environment. The adapter can be coupled to a vROPS API of the cloud infrastructure environment and arranged to issue requests for data to the network via the vROPS API. The adapter can include a means for issuing multiple initial requests. The adapter can include a means for receiving initial responses to the multiple initial requests. The adapter can include a means for issuing multiple subsequent requests in response to each initial response. The adapter can include a means for receiving subsequent responses to the subsequent requests. The adapter can include a means for processing the subsequent responses related to each resource ID to provide events, metrics or topology information. The adapter can include a means for delivering the events, metrics or topology information to a user display system.

A software defined (SD) process control system (SDCS) implements controller and other process control-related business logic as logical abstractions (e.g., application layer services executing in containers, VMs, etc.) decoupled from hardware and software computing platform resources. An SD networking layer of the SDCS utilizes process control-specific operating system support services to manage the usage of the computing platform resources and the creation, deletion, modifications, and networking of application layer services with devices disposed in the field environment and with other services, responsive to the requirements and needs of the business logic and dynamically changing conditions of SDCS hardware and/or software assets during run-time of the process plant (such as performance, faults, addition/deletion of hardware and/or software assets, etc.). Thus, dynamic (re-)allocation of hardware/software resources is primarily, if not entirely, and continually governed in real-time by present requirements and needs of application layer services as well as dynamically changing SDCS conditions.

A software defined (SD) process control system (SDCS) implements controller and other process control-related business logic as logical abstractions (e.g., application layer services executing in containers, VMs, etc.) decoupled from hardware and software computing platform resources. An SD networking layer of the SDCS utilizes process control-specific operating system support services to manage the usage of the computing platform resources and the creation, deletion, modifications, and networking of application layer services with devices disposed in the field environment and with other services, responsive to the requirements and needs of the business logic and dynamically changing conditions of SDCS hardware and/or software assets during run-time of the process plant (such as performance, faults, addition/deletion of hardware and/or software assets, etc.). Thus, dynamic (re-)allocation of hardware/software resources is primarily, if not entirely, and continually governed in real-time by present requirements and needs of application layer services as well as dynamically changing SDCS conditions.

A software defined (SD) process control system (SDCS) implements controller and other process control-related business logic as logical abstractions (e.g., application layer services executing in containers, VMs, etc.) decoupled from hardware and software computing platform resources. An SD networking layer of the SDCS utilizes process control-specific operating system support services to manage the usage of the computing platform resources and the creation, deletion, modifications, and networking of application layer services with devices disposed in the field environment and with other services, responsive to the requirements and needs of the business logic and dynamically changing conditions of SDCS hardware and/or software assets during run-time of the process plant (such as performance, faults, addition/deletion of hardware and/or software assets, etc.). A visualization system of the SDCS provides a user with a view as to the state of the SDCS as currently configured/running on the computing platform to enable a user to view currently configured interrelationships between logical elements of the control system and other logical and/or physical elements of the control system. The visualization system also provides performance metrics of the system as currently configured to enable a user to understand the operational health of the control system as currently configured.

A computer-implemented method for dynamic storage pricing in a multitenant environment is disclosed. The computer-implemented method includes dynamically modifying a storage cost for one or more tenants pointing to a block written to a storage area of the multitenant environment based, at least in part, on detecting a change in a number of tenants pointing to the block.

Systems, methods, and apparatuses for resource monitoring identification reuse are described. In an embodiment, a system comprising a hardware processor core to execute instructions storage for a resource monitoring identification (RMID) recycling instructions to be executed by a hardware processor core, a logical processor to execute on the hardware processor core, the logical processor including associated storage for a RMID and state, are described.

A method for managing a client environment includes obtaining, by a device emulation orchestration engine in an emulation system, an upgrade estimation time request associated with an application upgrade, in response to the upgrade estimation time request: performing a device emulation container analysis to determine a client device that requires the application upgrade, wherein the client device executes in the client environment, initiating an upgrade emulation using a device emulation container corresponding to the client device, obtaining, from a device emulation agent executing in the device emulation container, an upgrade estimation, and providing the upgrade estimation to the application upgrade monitoring agent.