Disclosed are systems and methods for application program interface (API) call management. For example a method may include obtaining API call information for one or more API endpoints, the API call information including a number of API calls to the one or more API endpoints; obtaining resource utilization (RU) information, the RU information including project RU information for one or more projects; analyzing the API call information and the RU information to obtain API cost information, the API cost information including cost per API call for the one or more API endpoints; and managing subsequent API calls to the one or more API endpoints based on the cost per API call.

This invention presents methods to utilize more regions for tasks than the number of slots in a memory protection unit and to efficiently distribute regions between multiple tasks within a partition.

A computer system is constituted by a plurality of physical computers including a first physical computer and a second physical computer. One or more application instances that perform an application service and a storage service instance that provides a storage service including a volume used by the application instance operate on the first physical computer. The computer system predicts a future resource usage status of the first physical computer, creates a plan to move the one or more application instances operating on the first physical computer to the second physical computer based on the predicted future resource usage status, and executes the created plan.

An information handling system may include at least one processor; and a non-transitory memory coupled to the at least one processor. The information handling system may be configured to manage an upgrade of a cluster of N host systems by: receiving an indication of a number M of host systems of the cluster that are needed to satisfy an operational requirement of the cluster; removing N-M of the host systems from the cluster; causing the removed host systems to be upgraded in parallel; and adding at least one of the removed host systems back to the cluster after the at least one of the removed host systems has completed the upgrade.

A system and a method for providing resiliency in a telephony communication system are provided. The method includes: receiving registration information that relates to a requested service, the registration information including a service name, a resource identifier such as a directory number, at least one pool, and status information; and mapping the received registration information to a database that associates the name of the requested service with the resource identifier and each pool and associates each pool with the status information; and transmitting at least two Uniform Resource Locators (URLs), including a primary URL and a backup URL, for providing the requested service.

Embodiments of the present invention provide methods, computer program products, and systems for evaluating expressions. Embodiments of the present invention can be used to receive a set of program instructions to be evaluated in a virtualized environment and determine an evaluation strategy based, at least in part, on an availability of CPU resources. The CPU resource include resources impacted by use of virtual machines and hypervisors. Embodiments of the present invention can, responsive to determining that there are sufficient CPU resources available, evaluate the set of program instructions according to the evaluation strategy using the CPU resources.

Methods, systems and computer program products for configuring microservices platforms in one or more computing clusters. In one of the computing clusters, a request to instantiate a microservice platform is received, wherein the request is received in a computing cluster having a first node and a second node, and wherein the first node and second node comprise a first virtualized storage controller and a second virtualized storage controller, respectively. The storage controllers each manage their respective storage pools comprising local storage devices. A first microservice manager is deployed on the first node and a second microservice manager is deployed on the second node. The first virtualized storage controller on the first node performs storage management operations for a first microservice instantiated by the first microservice manager, and the second virtualized storage controller on the second node performs storage management operations for a second microservice instantiated by the second microservice manager.

Techniques for virtual machines include receiving virtual machine (VM) requests, and finding one or more VM requests of the VM requests that optimize available resources of a candidate host machine while seeking to minimize differences between the one or more VM requests and the candidate host machine. The one or more VM requests are allocated to the candidate host machine.

A resource use method, an electronic device, and a computer program product are provided in embodiments of the present disclosure. The method includes determining a plurality of jobs requesting to use accelerator resources to accelerate data processing. The plurality of jobs are initiated by at least one virtual machine. The method further includes allocating available accelerator resources to the plurality of jobs based on job types of the plurality of jobs. The method further includes causing the plurality of jobs to be executed using the allocated accelerator resources. With the embodiments of the present disclosure, accelerator resources can be dynamically allocated, thereby improving the overall performance of a system.

A system and method of dynamically controlling a reservation of resources within a cluster environment to maximize a response time are disclosed. The method embodiment of the invention comprises receiving from a requestor a request for a reservation of resources in the cluster environment, reserving a first group of resources, evaluating resources within the cluster environment to determine if the response time can be improved and if the response time can be improved, then canceling the reservation for the first group of resources and reserving a second group of resources to process the request at the improved response time.