International Business Machines Corporation

Huawei Technologies Co., Limited

Jason T S Lam

Alicia Elena Chin

Zhimin Lin

Yonggang Hu

Zhenhua Hu

Chong Chen

Lei Guo

Ajith Shanmuganathan

Xiaodi Ke

Lei Su

Michael Feiman

Hao Zhou

Chen Chen

Hao Hai Ma

Resource scheduling methods and a resource manager define leaf buckets, each of which have coordinates in corresponding dimensions in a coordinate space. Nodes having resource values in the corresponding dimensions are mapped on the leaf buckets. A task request identifies candidate nodes and requested resources that relate to the coordinate space dimensions. The leaf buckets are scanned to find a fittable node among the list of candidates. A result of the scan is stored in a positive or a negative cache entry. When a next task request of a same task group is received, scanning of the leaf buckets is performed using information from the positive or negative cache entry. For a positive cache entry, the scanning is initiated from a point where the previous scanning has ended. For a negative cache entry, the scanning ignores nodes that were found not to contain the requested resources in the previous scanning.

Resource scheduling methods using positive and negative caching, and resource manager implementing the methods

A method, computer program product, and system for optimizing service pools supporting resource sharing and enforcing SLAs, to minimize service restart. A computer processor determines a first resource to be idle, wherein a service instance continues to occupy the first resource that is idle. The processor adds the first resource to a resource pool, wherein the service instance continues to occupy the first resource as a global standby service instance on the first resource. The processor receives a request for a resource, wherein the request for the resource includes a global name associated with a service that corresponds to the global standby service instance, and the processor allocates, from the resource pool, the first resource having the global standby service instance, based on the request for the resource that includes the global name associated with the service corresponding to the global standby service instance.

Minimizing service restart by optimally resizing service pools

A single workload scheduler schedules sessions and tasks having a tree structure to resources, wherein the single workload scheduler has scheduling control of the resources and the tasks of the parent-child workload sessions and tasks. The single workload scheduler receives a request to schedule a child session created by a scheduled parent task that when executed results in a child task; the scheduled parent task is dependent on a result of the child task. The single workload scheduler receives a message from the scheduled parent task yielding a resource based on the resource not being used by the scheduled parent task, schedules tasks to backfill the resource, and returns the resource yielded by the scheduled parent task to the scheduled parent task based on receiving a resume request from the scheduled parent task or determining dependencies of the scheduled parent task have been met.

Computing session workload scheduling and management of parent-child tasks using a blocking yield API to block and unblock the parent task

In a distributed computing network, requests for allocation of resources to tenant workloads and messages identifying resource availability are received and aggregated. Resources are allocated to the workloads in accordance with a distribution policy defining values for resource entitlements of the tenants. The values include pre-emption quantities. In response to determining that a quantity of resources allocated for workloads of a first tenant is less than the tenant's pre-emption quantity, processing of another workload from a second tenant is interrupted to re-allocate resources from the second tenant's workload to the first tenant's workload.

Method and system for multi-tenant resource distribution

Methods and systems of managing a resource in a distributed resource management system can include: receiving a resource request including data identifying at least one requested resource attribute; identifying one or more candidate resources from a plurality of resources by performing element-wise operations on one or more resource attribute element sets corresponding to the at least one requested resource attribute, each resource attribute element set comprising an element for each of the plurality of resources, each element representing a resource attribute for a respective resource of the plurality of resources; and scheduling a workload associated with the resource request for execution based on the one or more identified candidate resources.

System and method for distributed resource management

A computer processor allocates a service instance to a first resource of a resource pool, in which the service instance corresponds to performing a first task and for the service instance to continue to occupy the first resource subsequent to task completion, and determines the first resource to be idle. The first resource is returned to a resource pool, with the service instance occupying the first resource as a global standby service instance of a first service. In response to a request of a resource to perform a task from a second application, in which the request for the resource includes a global name associated with the first service of the global standby service instance, occupying the first resource returned to the resource pool, allocating from the resource pool, the first resource occupied by the global standby service instance, based on the global name associated with the first service.

Methods and systems of managing a resource in a distributed resource management system can include: monitoring, by at least one processor, utilization of the resource being used by at least one workload; and performing an enforcement action on a particular workload of the at least one workload when a utilization condition is met, and when the particular workload has a current resource utilization exceeding its associated resource allocation limit.

System and method for resource management

Methods and systems of managing workloads and resources for tenants structured as a hierarchical tenant queue defining a resource distribution policy. The tenants are modified and the system responds with dynamic adjustments to the hierarchical tenant queue and workload distribution. A rule-based workload management engine defines rules for actions for the workload to respond to the dynamic update.

System, device and process for dynamic tenant structure adjustment in a distributed resource management system

Embodiments of the present invention provide systems and methods for allocating multiple resources. In one embodiment, a configured resource plan is used to construct a hierarchical tree. The system then identifies a set of unowned resources from the configured resource plan and sends the set of unowned resource to a share pool. The share pool is either a global or local pool and can be accessed by one or more consumers. In response to changes in workload demands, a set of unused resources are lent to a global or local pool.

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Markham, Canada

Jason T S Lam