Systems and methods for allocating resources are disclosed. Resources as processing time, writes or reads are allocated. Credits are issued to the clients in a manner that ensure the system is operating in a safe allocation state. The credits can be used not only to allocate resources but also to throttle clients where necessary. Credits can be granted fully, partially, and in a number greater than requested. Zero or negative credits can also be issued to throttle clients. Segment credits are associated with identifying unique fingerprints or segments and may be allocated by determining how many credits a CPU/cores can support. This maximum number may be divided amongst clients connected with the server.

Managing an application zone is provided. A request is received from a program on a client device to enter a zone of an application that provides a service. In response to determining that the zone does not currently exist in the application, the zone is generated in the application based on defined parameters of the zone. An enter notification is sent to the program on the client device indicating that the zone is ready for the program to enter to receive the service.

Examples relate to dynamically adjusting thresholds. The examples disclosed herein enable obtaining costs related to computing resources that have been used by a user. A resource utilization threshold may be dynamically adjusted based on at least one parameter. The at least one parameter may comprise the costs related to the computing resources that have been used by the user. The disclosed examples further enable comparing a utilization rate of the computing resources by the user to the adjusted threshold.

Mechanisms are provided for dynamically adjusting assignment of software threads to hardware threads in virtual machine (VM) environments. The mechanisms receive, by a virtual machine manager (VMM), an indication of workload priority from a plurality of VMs. The indication indicates a priority of a workload executing on each VM in the plurality of VMs. The mechanisms provide, by the VMM, an indication of physical resource usage to each VM. The indication of physical resource usage is an indication of physical resource usage across all VMs in the plurality of VMs. The mechanisms automatically adjust, by each VM, assignment of corresponding software threads to hardware threads based on the indication of physical resource usage and a priority of a workload executing on the VM to achieve a balance of usage of hardware threads across all VMs in the plurality of VMs.

Methods, non-transitory machine readable media, and computing devices that more efficiently and effectively manage storage quota enforcement are disclosed. With this technology, a quota ticket comprising a tally generation number (TGN) and a local allowed usage amount (AUA) are obtained. The local AUA comprises a portion of a global AUA associated with a quota rule. The local AUA is increased following receipt of another portion of the global AUA in a response from a cluster peer, when another TGN in the response matches the TGN and the local AUA is insufficient to execute a received storage operation associated with the quota rule. The local AUA is decreased by an amount corresponding to, and following execution of, the storage operation, when the increased local AUA is sufficient to execute the storage operation.

Disclosed are various embodiments for the controlling the amount of active updates that can occur during a given time on devices that are associated with tenants (e.g., organizations) and subtenants (e.g., sub-organizations) in a multi-tenant environment. In particular, each tenant and subtenant is assigned throttle corresponding to different update parameters (e.g., an amount of devices executing an active update, an amount of data to be downloaded during a campaign, a time for completing the update campaign, etc.). When an update campaign is established, the update campaign can define the different devices that are to be updated. In some situations, the number of active updates required may exceed the allotted resources for a given subtenant. When a subtenant requires additional resources than what is assigned to complete the update, the subtenant can borrow resources defined by the update parameters from a subtenant peer that has a surplus.

Disclosed is an improved approach for managing access to resources by workloads in a computing system. A much more accurate and useful technique is provided for determining disk utilization, and for using the calculated disk utilization to enforce workload constraints and limits. The technique may be used by any application that is attempting to share storage between multiple workloads can use the present solution, as well as any operating system and workload manager that need to manage workloads and resources.

System resources on a computer system are conserved by controlling the applications that use those system resources. This can be accomplished by monitoring an indication of use of a system resource by a plurality of applications, determining whether the indication of use exceeds a predetermined threshold of use, if the indication of use exceeds the predetermined threshold of use then bundling the applications using that system resource into a resource group, and assigning a resource usage rate to the resource group for a period of time, the assigned resource usage rate being below the indication of use of that system resource, and the assigned resource usage rate applying collectively to the applications in the resource group.

Computing capacity of a computing environment can be managed by controlling it associated processing capacity based on a target (or desired) capacity. In addition, fine-grained control over the processing capacity can be exercised. For example, a computing system can change the processing capacity (e.g., processing rate) of at least one processor operating based on a target capacity. The computing system may also be operable to change the processing capacity based on a measured processing capacity (e.g., a measured average of various processing rates of a processor taken over a period of time when a processor may have been operating at different processing rates over that period). By way of example, the processing rate of a processor can be switched between 1/8 and 2/8 of a maximum processing rate to achieve virtually any effective processing rates between them.

A tracing management system may use cost analyzes and performance budgets to dispatch tracing objectives to instrumented systems that may collect trace data while running an application. The tracing management system may analyze individual tracing workloads for processing, storage, and network performance costs, and select workloads to deploy based on a resource budget that may be set for a particular device. In some cases, complementary tracing objectives may be selected that maximize consumption of resources within an allocated budget. The budgets may allocate certain resources for tracing, which may be a mechanism to limit any adverse effects from tracing when running an application.