Abstract: The invention relates to systems, methods and computer-readable media for controlling access to compute resources in a compute environment such as a cluster or a grid. The method of providing conditional access to a compute environment comprises associating a required service level threshold with a compute environment, associating a service level with a requestor, receiving a request for access to the compute environment from the requestor; and, if the service level of the requestor meets the specified service level threshold, then allowing access to the compute resources. The threshold-based access may be enforced by reservations, policies or some other method.

Abstract: The disclosure relates to systems, methods and computer-readable media for dynamically provisioning resources within a compute environment. The method aspect of the disclosure comprises A method of dynamically provisioning resources within a compute environment, the method comprises analyzing a queue of jobs to determine an availability of compute resources for each job, determining an availability of a scheduler of the compute environment to satisfy all service level agreements (SLAs) and target service levels within a current configuration of the compute resources, determining possible resource provisioning changes to improve SLA fulfillment, determining a cost of provisioning; and if provisioning changes improve overall SLA delivery, then re-provisioning at least one compute resource.

Abstract: Disclosed are systems, methods, computer readable media, and compute environments for establishing a schedule for processing a job in a distributed compute environment. The method embodiment comprises converting a topology of a compute environment to a plurality of endpoint-to-endpoint paths, based on the plurality of endpoint-to-endpoint paths, mapping each replica resource of a plurality of resources to one or more endpoints where each respective resource is available, iteratively identifying schedule costs associated with a relationship between endpoints and resources, and committing a selected schedule cost from the identified schedule costs for processing a job in the compute environment.

Abstract: A system, method and non-transitory computer readable storage medium are disclosed for managing workload in a data center. The method includes receiving data related to at least one of a current state of workload in the compute environment at a current time and future workload scheduled to consume resources in the compute environment at a future time relative to the current time, wherein the compute environment comprises a plurality of nodes in which compute resources are reserved by a workload manager for consumption, and controlling a cooling system to selectively modify a temperature of at least one node in the compute environment based on the data.

Abstract: Disclosed is an on-demand computing environment. The method embodiment relates to a method of managing resources between a local compute environment and an on-demand environment. The method includes detecting an event in a local compute environment and based on the detected event, automatically establishing communication with an on-demand compute environment, provisioning resources within the on-demand compute environment and transferring workload from the local compute environment transparently to the on-demand compute environment.

Abstract: Disclosed are systems and methods of performing a power cap processing in a compute environment. The method includes determining of one of committed resources and dedicated resources in a compute environment exceed a threshold value for a job. If a determination is yes that the threshold value is exceeded, then the method includes preempting processing of the job in the compute environment by performing one of migrating the job to a new compute resources and performing a power reduction action associated with the job, such as slowing down a processor associated with a job or cancelling the job. When such a power state reduction action is taken, reservations associated with other jobs may also be adjusted.

Abstract: A disclosed system receives a request for resources, generates a credential map for each credential associated with the request, the credential map including a first type of resource mapping and a second type of resource mapping. The system generates a resource availability map, generates a first composite intersecting map that intersects the resource availability map with a first type of resource mapping of all the generated credential maps and generates a second composite intersecting map that intersects the resource availability map and a second type of resource mapping of all the generated credential maps. With the first and second composite intersecting maps, the system can allocate resources within the compute environment for the request based on at least one of the first composite intersecting map and the second composite intersecting map.

Abstract: A system and method of dynamically controlling a reservation of compute resources within a compute environment is disclosed. The method aspect of the invention comprises receiving a request from a requestor for a reservation of resources within the compute environment, reserving a first group of resources, evaluating resources within the compute environment to determine if a more efficient use of the compute environment is available and if a more efficient use of the compute environment is available, then canceling the reservation for the first group of resources and reserving a second group of resources of the compute environment according to the evaluation.

Abstract: Disclosed are a system, method and computer-readable medium relating to managing resources within a compute environment having a group of nodes or computing devices. The method comprises, for each node in the compute environment: traversing a list jobs having a fixed time relationship, wherein for each job in the list, the following steps occur: obtaining a range list of available timeframes for each job, converting each availability timeframe to a start range, shifting the resulting start range in time by a job offset, for a first job, copying the resulting start range into a node range, and for all subsequent jobs, logically AND'ing the start range with the node range. Next, the method comprises logically OR'ing the node range with a global range, generating a list of acceptable resources on which to start and the timeframe at which to start and creating reservations according to the list of acceptable resources for the resources in the group of computing devices and associated job offsets.

Abstract: Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requestors of resources in the local compute environment.

Abstract: The present invention provides a system, method and computer-readable media for generating virtual private clusters out of a group of compute resources. Typically, the group of compute resources involves a group of clusters independently administered. The method provides for aggregating the group of compute resources, partitioning the aggregated group of compute resources and presenting to each user in an organization a partition representation the organization's virtual private cluster. The users transparently view their cluster and have control over its operation. The partitions may be static or dynamic.

Abstract: The invention comprises systems, methods and computer-readable media for providing multiple-resource management of a cluster environment. The method embodiment of the invention is illustrative and comprises, at a cluster scheduler, defining a resource management interface, identifying a location of a plurality of services within the cluster environment, determining a set of services available from each of the plurality of resource managers, selecting a group of services available from the plurality of resource managers, contacting the group of services to obtain full information associated with the computer environment and integrating the obtained full information into a single cohesive world-view of compute resources and workload requests.

Abstract: The invention relates to systems, methods and computer-readable media for using system jobs for performing actions outside the constraints of batch compute jobs submitted to a compute environment such as a cluster or a grid. The method for modifying a compute environment from a system job comprises associating a system job to a queuable object, triggering the system job based on an event and performing arbitrary actions on resources outside of compute nodes in the compute environment. The queuable objects include objects such as batch compute jobs or job reservations. The events that trigger the system job may be time driven, such as ten minutes prior to completion of the batch compute job, or dependent on other actions associated with other system jobs. The system jobs may be utilized also to perform rolling maintenance on a node by node basis.

Abstract: The invention relates to systems, methods and computer-readable media for controlling access to compute resources in a compute environment such as a cluster or a grid. The method of providing conditional access to a compute environment comprises associating a required service level threshold with a compute environment, associating a service level with a requestor, receiving a request for access to the compute environment from the requestor; and, if the service level of the requestor meets the specified service level threshold, then allowing access to the compute resources. The threshold-based access may be enforced by reservations, policies or some other method.

Abstract: A system and method are disclosed for dynamically reserving resources within a cluster environment. The method embodiment of the invention comprises receiving a request for resources in the cluster environment, monitoring events after receiving the request for resources and based on the monitored events, dynamically modifying at least one of the request for resources and the cluster environment.

Abstract: Disclosed are systems, hybrid compute environments, methods and computer-readable media for dynamically provisioning nodes for a workload. In the hybrid compute environment, each node communicates with a first resource manager associated with the first operating system and a second resource manager associated with a second operating system. The method includes receiving an instruction to provision at least one node in the hybrid compute environment from the first operating system to the second operating system, after provisioning the second operating system, pooling at least one signal from the resource manager associated with the at least one node, processing at least one signal from the second resource manager associated with the at least one node and consuming resources associated with the at least one node having the second operating system provisioned thereon.

Abstract: An on-demand compute environment comprises a plurality of nodes within an on-demand compute environment available for provisioning and a slave management module operating on a dedicated node within the on-demand compute environment, wherein upon instructions from a master management module at a local compute environment, the slave management module modifies at least one node of the plurality of nodes.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: The disclosure relates to systems, methods and computer-readable media for dynamically provisioning resources within a compute environment. The method aspect of the disclosure comprises A method of dynamically provisioning resources within a compute environment, the method comprises analyzing a queue of jobs to determine an availability of compute resources for each job, determining an availability of a scheduler of the compute environment to satisfy all service level agreements (SLAs) and target service levels within a current configuration of the compute resources, determining possible resource provisioning changes to improve SLA fulfillment, determining a cost of provisioning; and if provisioning changes improve overall SLA delivery, then re-provisioning at least one compute resource.

Abstract: The present invention provides for systems and methods of dynamically controlling a cluster or grid environment. The method comprises attaching a trigger to an object and firing the trigger based on a trigger attribute. The cluster environment is modified by actions initiated when the trigger is fired. Each trigger has trigger attributes that govern when it is fired and actions it will take. The use of triggers enables a cluster environment to dynamically be modified with arbitrary actions to accommodate needs of arbitrary objects. Example objects include a compute node, compute resources, a cluster, groups of users, user credentials, jobs, resources managers, peer services and the like.