Abstract: A system and method of reserving resources in a compute environment are disclosed. The method embodiment comprises receiving a request for resources within a computer environment, determining at least one completion time associated with at least one resource type required by the request, and reserving resources within the computer environment based on the determine of at least the completion time. A scaled wall clock time on a per resource basis may also be used to determine what resources to reserve. The system may determine whether to perform a start time analysis or a completion time analysis or a hybrid analysis in the process of generating a co-allocation map between a first type of resource and a second type of resource in preparation for reserving resources according to the generated co-allocation map.

Abstract: Disclosed herein are systems, methods, and computer-readable media for dynamically managing data-centric searches. The method includes identifying an event related to domain-specific searches to a database, identifying data at a first memory location in the database, duplicating the data to a new memory location, and distributing processing more domain-specific searches amongst an expanded search space including the new memory location and the first memory location. The expanded search space can be reduced or collapsed in response to a reduction event by removing duplicate data from the first memory location or the new memory location and adjusting the distribution of processing amongst the remaining memory location. The method can optionally include organizing multiple events by network segment, identifying a network segment associated with domain-specific searches, and duplicating the data to a new memory location in close proximity to the identified network segment.

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: A systems, method and computer-readable media are disclosed for providing a dynamic roll-back reservation mask in a compute environment. The method of managing compute resources within a compute environment includes, based on an agreement between a compute resource provider and a customer, creating a roll-back reservation mask for compute resources which slides ahead of current time by a period of time. Within the roll-back reservation mask, the method specifies a subset of consumers and compute resource requests which can access compute resources associated with the roll-back reservation mask and, based on received data, the method dynamically modifies at least one of (1) the period of time the roll-back reservation mask slides ahead of current time and (2) the compute resources associated with the roll-back reservation mask.

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: Inventive embodiments are directed to components, subassemblies, systems, and/or methods for infinitely variable transmissions (IVT). In one embodiment, a control system is adapted to facilitate a change in operating mode of an IVT. In another embodiment, a control system includes a drive clutch coupled to a source of rotational power; the drive clutch is configured to selectively engage a traction ring and a carrier of the IVT. The control system includes a one-way clutch assembly configured to selectively engage the traction ring and the carrier. In some embodiments, the control system governs the actuation of the one-way clutch to selectively lock and unlock components of the IVT. In some embodiments, the control system implements an IVT mode wherein the carrier selectively couples to a source of rotational power. In other embodiments, the control system implements a CVT mode wherein the traction ring selectively couples to a source of rotational power.

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: 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: A system, method and computer-readable media for managing a compute environment are disclosed. The method includes importing identity information from an identity manager into a module performs workload management and scheduling for a compute environment and, unless a conflict exists, modifying the behavior of the workload management and scheduling module to incorporate the imported identity information such that access to and use of the compute environment occurs according to the imported identity information. The compute environment may be a cluster or a grid wherein multiple compute environments communicate with multiple identity managers.

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: A system and method of reserving resources in a compute environment are disclosed. The method embodiment comprises receiving a request for resources within a computer environment, determining at least one completion time associated with at least one resource type required by the request, and reserving resources within the computer environment based on the determine of at least the completion time. A scaled wall clock time on a per resource basis may also be used to determine what resources to reserve. The system may determine whether to perform a start time analysis or a completion time analysis or a hybrid analysis in the process of generating a co-allocation map between a first type of resource and a second type of resource in preparation for reserving resources according to the generated co-allocation map.

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, computer-readable medium and method for performing intelligent data pre-staging for a job submitted to a cluster environment. The method aspect comprises determining availability of compute resources including availability timeframes to process the submitted job, determining data requirements for processing the job and determining a co-allocation in time reservation.

Abstract: Systems and methods for determining muscle force are presented. Proportional, integral, and derivative control is used to simulate muscle forces for multiple muscles contributing to a kinematic profile. The simulated muscle forces are modified by dynamic gains that are calculated in order to achieve a muscle recruitment objective such as minimizing collective muscle effort while still achieving the kinematic motion.

Abstract: A systems, method and computer-readable media are disclosed for providing a dynamic roll-back reservation mask in a compute environment. The method of managing compute resources within a compute environment includes, based on an agreement between a compute resource provider and a customer, creating a roll-back reservation mask for compute resources which slides ahead of current time by a period of time. Within the roll-back reservation mask, the method specifies a subset of consumers and compute resource requests which can access compute resources associated with the roll-back reservation mask and, based on received data, the method dynamically modifies at least one of (1) the period of time the roll-back reservation mask slides ahead of current time and (2) the compute resources associated with the roll-back reservation mask.

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: Disclosed herein are systems, methods, and computer-readable media for dynamically managing data-centric searches. The method includes identifying an event related to domain-specific searches to a database, identifying data at a first memory location in the database, duplicating the data to a new memory location, and distributing processing more domain-specific searches amongst an expanded search space including the new memory location and the first memory location. The expanded search space can be reduced or collapsed in response to a reduction event by removing duplicate data from the first memory location or the new memory location and adjusting the distribution of processing amongst the remaining memory location. The method can optionally include organizing multiple events by network segment, identifying a network segment associated with domain-specific searches, and duplicating the data to a new memory location in close proximity to the identified network segment.

Abstract: Disclosed are methods for estimating a time associated with shifting a first workload from a first compute environment to a second compute environment, separate from the first compute environment, estimating a likelihood of success associated with a likelihood that the first workload could successfully be shifted to the second compute environment, dividing or using the likelihood of success by the time to yield or produce a risk-adjusted shift time and, when a comparison of the shift time is longer than a maximum acceptable wait time, proceeding with a first operation associated with how to preempt the first workload by the second workload.

Abstract: A systems, method and computer-readable media are disclosed for providing a dynamic roll-back reservation mask in a compute environment. The method of managing compute resources within a compute environment includes, based on an agreement between a compute resource provider and a customer, creating a roll-back reservation mask for compute resources which slides ahead of current time by a period of time. Within the roll-back reservation mask, the method specifies a subset of consumers and compute resource requests which can access compute resources associated with the roll-back reservation mask and, based on received data, the method dynamically modifies at least one of (1) the period of time the roll-back reservation mask slides ahead of current time and (2) the compute resources associated with the roll-back reservation mask.

Abstract: A system and method for reducing power consumption in clusters, grids, on-demand centers, etc. These principles can reduce both direct and indirect power consumption while maintaining either full cluster performance or adequate SLA based cluster performance. The method includes receiving at least one state data point regarding power consumption or temperature of at least one resource within the compute environment. Using intelligent policies to control power consumption, the method implements and interfaces with power managements facilities within the cluster, grid or on-demand center to implement policies, make dynamic changes, make predictions or actions, etc., to reduce the direct or indirect power consumption associated with a compute environment. Methods can include analysis of current workload and/or future workload in taking energy saving actions, and also involve reporting state information and updating algorithms based on historical experience or outside sources of information.