Abstract: A system and computer-implemented method for generating an optimized allocation of a plurality of tasks across a plurality of processors or slots for processing or execution in a distributed computing environment. In a cloud computing environment implementing a MapReduce framework, the system and computer-implemented method may be used to schedule map or reduce tasks to processors or slots on the network such that the tasks are matched to processors or slots in a data locality aware fashion wherein the suitability of node and the characteristics of the task are accounted for using a minimum cost flow function.

Abstract: The present invention relates to a method and apparatus for scheduling resources in system architecture. In one embodiment, this can be accomplished by storing temporarily jobs form a plurality of queues, where each queue a weight is set up, forming a set of elements, wherein the set size is based on the weights assigned to each queue, selecting one element from the formed set in an order, wherein the order can be predefined or random order and serving at least one job from the plurality of queues, wherein selection of the job is from the queue that corresponds to element of the formed set.

Abstract: Techniques for creating a virtual machine super template to create a user-requested virtual machine template. A method includes identifying at least one virtual machine super template to be created via analyzing at least one existing template in a repository and/or a user-defined combination of software, creating the super template by installing software requested by the user to be within the super template, and creating a user-requested virtual machine template by un-installing software from the super template that is not required in the user-requested template and/or adding software to the super template required in the user-requested template that is not present in the super template.

Abstract: Representing a non-executing virtual machine with a graphical representation. Resource consumption on a hardware device is monitored. A policy that considers at least a present level of resource consumption and an amount of available resources of the hardware device is consulted. An operational state of a particular virtual machine that resides on the hardware device is changed to a non-executing state. An image that represents the virtual machine is displayed. The image is based upon the state of the virtual machine immediately prior to the virtual machine entering the non-executing state.

Abstract: A power management and data center resource monitoring mechanism is provided for selecting new processing elements in a data center. When a condition is detected for selecting new processing elements, one or more processing elements are selected as the new processing elements based on at least a temperature parameter and a usage history parameter of at least some of the processing elements in the data center. Workload is consolidated onto the new processing elements to conserve energy.

Abstract: The described implementations relate to processing of electronic data. One implementation is manifest as a system that can include logic and at least one processing device configured to execute the logic. The logic can be configured to receive a first task request to execute a first task that uses a resource when performed. The first task can have an associated first level of interactivity. The logic can also be configured to receive a second task request to execute a second task that also uses the resource when performed. The second task can have an associated second level of interactivity. The logic can also be configured to selectively throttle the first task and the second task based upon the first level of interactivity and the second level of interactivity.

Abstract: A method and system for intelligent tiering is provided. The method includes receiving a request for enabling a tiering process with respect to data. The computer processor retrieves a migration list indicating migration engines associated with the data. Additionally, an entity list of migration entities is retrieved and each migration entity is compared to associated policy conditions. In response, it is determined if matches exist between the migration entities and the associated policy conditions and a consolidated entity list is generated.

Abstract: Embodiments of apparatus, computer-implemented methods, systems, devices, and computer-readable media are described herein for tracking per-virtual machine (“VM”) resource usage independent of a virtual machine monitor (“VMM”). In various embodiments, a first logic unit may associate one or more virtual central processing units (“vCPUs”) operated by one or more physical processing units of a computing device with a first VM of a plurality of VMs operated by the computing device, and collect data about resources used by the one or more physical processing units to operate the one or more vCPUs associated with the first VM. In various embodiments, a second logic unit of the computing device may determine resource-usage by the first VM based on the collected data. In various embodiments, the first and second logic units may perform these functions independent of a VMM of the computing device.

Abstract: A graph analytics appliance can be employed to extract data from a graph database in an efficient manner. The graph analytics appliance includes a router, a worklist scheduler, a processing unit, and an input/output unit. The router receives an abstraction program including a plurality of parallel algorithms for a query request from an abstraction program compiler residing on computational node or the graph analytics appliance. The worklist scheduler generates a prioritized plurality of parallel threads for executing the query request from the plurality of parallel algorithms. The processing unit executes multiple threads selected from the prioritized plurality of parallel threads. The input/output unit communicates with a graph database.

Abstract: A method performed by a system including one or more data processing systems. The method includes receiving a plurality of requesting process calls for a target process from one or more requesting processes and identifying dependencies between the requesting process calls. The method includes sending the requesting process call to the target process for execution on multiple threads, including sending thread execution parameters corresponding to the requesting process calls, the thread execution parameters indicating that the requesting process calls can be executed by the target process simultaneously and independently, that the requesting process calls must be processed in a specific order based on the dependencies, or that the requesting process calls are to be executed with shared process objects. The method includes receiving results from the target process. The method includes sending the results to the requesting processes corresponding to the respective requesting process calls.

Abstract: Systems and methods for automatic generation of software pipelines for heterogeneous parallel systems (AHP) include pipelining a program with one or more tasks on a parallel computing platform with one or more processing units and partitioning the program into pipeline stages, wherein each pipeline stage contains one or more tasks. The one or more tasks in the pipeline stages are scheduled onto the one or more processing units, and execution times of the one or more tasks in the pipeline stages are estimated. The above steps are repeated until a specified termination criterion is reached.

Abstract: An application interoperation method includes: maintaining a handler table including data type information, function information and calling information associated with each application installed in a portable device; receiving input information on a menu key of the portable device, from a user, while a first application is active; extracting, in response to the receipt of the input information, at least one function information associated with data type information, which is being processed or requested by the first application, from the handler table; dynamically generating a menu including the extracted function information to provide the user with the generated menu; receiving selection information on particular function information among the provided menu, from the user; and identifying calling information associated with the selected particular function information by referring to the handler table and executing a second application based on the identified calling information.

Abstract: A device may receive information that identifies a first task to be processed, may determine a performance metric value indicative of a behavior of a processor while processing a second task, and may assign, based on the performance metric value, the first task to a bin for processing the first task, the bin including a set of processors that operate based on a power characteristic.

Abstract: A graph analytics appliance can be employed to extract data from a graph database in an efficient manner. The graph analytics appliance includes a router, a worklist scheduler, a processing unit, and an input/output unit. The router receives an abstraction program including a plurality of parallel algorithms for a query request from an abstraction program compiler residing on computational node or the graph analytics appliance. The worklist scheduler generates a prioritized plurality of parallel threads for executing the query request from the plurality of parallel algorithms. The processing unit executes multiple threads selected from the prioritized plurality of parallel threads. The input/output unit communicates with a graph database.

Abstract: In one embodiment, an illustrative technique determines when an end-user is within a specified proximity of a client device configured to provide an interface to a virtual machine. In response to the end-user being within the specified proximity of the client device, the technique may then allocate data center resources for the virtual machine.

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: Techniques are disclosed that include a computer-implemented method including transmitting a message in response to a predetermined event through a process stage including at least first and second processes being executed as one or more tasks, the message instructing the abortion of the executing of the one or more tasks, and initiating abortion of execution of the one or more tasks by the one or more of the processes on receiving the messages.

Abstract: Approaches for executing untrusted software on a client without compromising the client using micro-virtualization to execute untrusted software in isolated contexts. A template for instantiating a virtual machine on a client is identified in response to receiving a request to execute an application. After the template is identified, without human intervention, a virtual machine is instantiated, using the template, in which the application is to be executed. The template may be selected from a plurality of templates based on the nature of the request, as each template describe characteristics of a virtual machine suitable for a different type of activity. When the client determines that the application has ceased to execute, the client ceases execution of the virtual machine without human intervention.

Abstract: Methods, apparatuses, and computer program products for optimizing collective communications within a parallel computer comprising a plurality of hardware threads for executing software threads of a parallel application are provided. Embodiments include a processor of a parallel computer determining for each software thread, an affinity of the software thread to a particular hardware thread. Each affinity indicates an assignment of a software thread to a particular hardware thread. The processor also generates one or more affinity domains based on the affinities of the software threads. Embodiments also include a processor generating, for each affinity domain, a topology of the affinity domain based on the affinities of the software threads to the hardware threads. According to embodiments of the present application, a processor also performs, based on the generated topologies of the affinity domains, a collective operation on one or more software threads.

Abstract: Embodiments of the present invention relate to a virtual machine integration technology, and in particular, to a method, an apparatus, and a system for virtual cluster integration. The method includes: performing a calculation through a search algorithm to obtain the minimum number of physical machines which are capable of accommodating all virtual machines in a virtual cluster, and obtaining all virtual integration solutions satisfying the minimum number of physical machines; then calculating CPU voltage consumption of each virtual integration solution, and selecting a solution with lowest CPU voltage consumption from these virtual integration solutions; and formulating a virtual integration migration policy according to the virtual integration solution with the lowest CPU voltage consumption.