Abstract: A system for multi-layer quality of service (QoS) management in a distributed computing environment includes a management node hosting a workload scheduler operable to receive a workload and identify a workload QoS class for the workload. The system also includes a plurality of distributed compute nodes. A workload scheduler is operable to schedule running of the workload on the compute nodes. The workload scheduler is operable to translate the workload QoS class to a storage level QoS class and communicate the storage level QoS class to a workload execution manager of the compute nodes. The workload scheduler communicates the storage level QoS class to one or more storage managers where the storage managers manage storage resources, and the storage managers are operable to extend the storage level QoS class to the storage resources to support the workload QoS class.

Abstract: A reconfigurable multi-output antenna (16) is disclosed comprising: one or more radiating elements (12, 14), at least two matching circuits (42, 44, 50, 52) coupled to the or each radiating element (12, 14) via e.g. a splitter (30, 32) or a duplexer; and wherein each matching circuit (42, 44, 50, 52) is associated with a separate port (38, 40, 46, 48) arranged to drive a separate resonant frequency so that the or each radiating element (12, 14) is operable to provide multiple outputs simultaneously. The resonant frequency of each output is independently controllable by each matching circuit, with good isolation with each other port, thereby offering very wide operating frequency range with simultaneous multi-independent output operations. Also described is a multi-output antenna control module for coupling to one or more radiating elements, an antenna structure and an antenna interface module. A reconfigurable multi-output antenna is disclosed comprising: one or more radiating.

Abstract: A system for multi-layer quality of service (QoS) management in a distributed computing environment includes: a management node hosting a workload scheduler operable to receive a workload and identify a workload QoS class for the workload; and a plurality of distributed compute nodes, the workload scheduler operable to schedule running of the workload on the compute nodes. The workload scheduler is operable to: translate the workload QoS class to a storage level QoS class; communicate the storage level QoS class to a workload execution manager of the compute nodes; and communicate the storage level QoS class to one or more storage managers, the storage managers managing storage resources. The storage managers are operable to extend the storage level QoS class to the storage resources to support the workload QoS class.

Abstract: A technique for multi-layer quality of service (QoS) management in a distributed computing environment includes: receiving a workload to run in a distributed computing environment; identifying a workload quality of service (QoS) class for the workload; translating the workload QoS class to a storage level QoS class; scheduling the workload to run on a compute node of the environment; communicating the storage level QoS class to a workload execution manager of the compute node; communicating the storage level QoS class to one or more storage managers of the environment, the storage managers managing storage resources in the environment; and extending, by the storage managers, the storage level QoS class to the storage resources to support the workload QoS class.

Abstract: 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.

Abstract: 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.

Abstract: In an approach to adaptively pipeline a MapReduce job, a processor receives one or more data records from a storage and inserts the one or more data records into a map queue, wherein a size of the map queue is adaptive to one or more utilizations of one or more resources in the processor. One or more processors apply a map function to the one or more data records in the first buffer and sort the records that are output from the map function and store the sorted records. One or more processors receive and insert the sorted records into a reduce queue, wherein a size of the reduce queue is adaptive to one or more utilizations of resources in the one or more processors. One or more processors apply a reduce function to the sorted records in the reduce queue and store a result in a storage.

Abstract: In an approach to adaptively pipeline a MapReduce job, a processor receives one or more data records from a storage and inserts the one or more data records into a map queue, wherein a size of the map queue is adaptive to one or more utilizations of one or more resources in the processor. One or more processors apply a map function to the one or more data records in the first buffer and sort the records that are output from the map function and store the sorted records. One or more processors receive and insert the sorted records into a reduce queue, wherein a size of the reduce queue is adaptive to one or more utilizations of resources in the one or more processors. One or more processors apply a reduce function to the sorted records in the reduce queue and store a result in a storage.

Abstract: A shuffler receives information associated with partition segments of map task outputs and a pipeline policy for a job running on a computing device. The shuffler transmits to an operating system of the computing device a request to lock partition segments of the map task outputs and transmits an advisement to keep or load partition segments of map task outputs in the memory of the computing device. The shuffler creates a pipeline based on the pipeline policy, wherein the pipeline includes partition segments locked in the memory and partition segments advised to keep or load in the memory, of the computing device for the job, and the shuffler selects the partition segments locked in the memory, followed by partition segments advised to keep or load in the memory, as a preferential order of partition segments to shuffle.

Abstract: 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.

Abstract: Embodiments of the present invention disclose a computer-implemented method, computer program product, and system for workload scheduling and resource provisioning.

Abstract: A shuffler receives information associated with partition segments of map task outputs and a pipeline policy for a job running on a computing device. The shuffler transmits to an operating system of the computing device a request to lock partition segments of the map task outputs and transmits an advisement to keep or load partition segments of map task outputs in the memory of the computing device. The shuffler creates a pipeline based on the pipeline policy, wherein the pipeline includes partition segments locked in the memory and partition segments advised to keep or load in the memory, of the computing device for the job, and the shuffler selects the partition segments locked in the memory, followed by partition segments advised to keep or load in the memory, as a preferential order of partition segments to shuffle.

Abstract: A shuffler receives information associated with partition segments of map task outputs and a pipeline policy for a job running on a computing device. The shuffler transmits to an operating system of the computing device a request to lock partition segments of the map task outputs and transmits an advisement to keep or load partition segments of map task outputs in the memory of the computing device. The shuffler creates a pipeline based on the pipeline policy, wherein the pipeline includes partition segments locked in the memory and partition segments advised to keep or load in the memory, of the computing device for the job, and the shuffler selects the partition segments locked in the memory, followed by partition segments advised to keep or load in the memory, as a preferential order of partition segments to shuffle.

Abstract: A new microsphere formulation (composition) for controlled- or sustained-release delivery of therapeutic ingredient(s), mainly peptides and proteins not over 10K in molecular weight, comprises at least a therapeutic ingredient, a helping agent (such as PH sensitive agent whose solubility is a function of pH) and a biodegradable polymer. The therapeutic ingredient(s) and the helping agent are in the form of fine particles, less than 1O um in diameter, encapsulated in the polymer which forms the microsphere matrix. A method for preparing the composition comprises a step of in-situ precipitating the therapeutic ingredient(s) and the helping agent to the fine particles and successive steps for forming the microspheres. Such a microsphere formulation offers a well-controlled release profile for prolonged period and encapsulation efficiency over 95%.

Abstract: A technique for multi-layer quality of service (QoS) management in a distributed computing environment includes: receiving a workload to run in a distributed computing environment; identifying a workload quality of service (QoS) class for the workload; translating the workload QoS class to a storage level QoS class; scheduling the workload to run on a compute node of the environment; communicating the storage level QoS class to a workload execution manager of the compute node; communicating the storage level QoS class to one or more storage managers of the environment, the storage managers managing storage resources in the environment; and extending, by the storage managers, the storage level QoS class to the storage resources to support the workload QoS class.

Abstract: A system for multi-layer quality of service (QoS) management in a distributed computing environment includes: a management node hosting a workload scheduler operable to receive a workload and identify a workload QoS class for the workload; and a plurality of distributed compute nodes, the workload scheduler operable to schedule running of the workload on the compute nodes. The workload scheduler is operable to: translate the workload QoS class to a storage level QoS class; communicate the storage level QoS class to a workload execution manager of the compute nodes; and communicate the storage level QoS class to one or more storage managers, the storage managers managing storage resources. The storage managers are operable to extend the storage level QoS class to the storage resources to support the workload QoS class.

Abstract: Embodiments of the present invention disclose a computer-implemented method, computer program product, and system for workload scheduling and resource provisioning.

Abstract: 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.

Abstract: Methods and arrangements for assembling tasks in a progressive queue. At least one job is received, each job comprising a dependee set of tasks and a depender set of at least one task. The dependee tasks are assembled in a progressive queue for execution, and the dependee tasks are executed. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for managing data segments. At least one job is received, each job comprising a dependee set of tasks and a depender set of at least one task, and the at least one of the dependee set of tasks is executed. There is extracted, from the at least one of the dependee set of tasks, at least one service common to at least another of the dependee set of tasks. Other variants and embodiments are broadly contemplated herein.