Abstract: An apparatus, system, and method are disclosed to collect metrics from a non-monolithic website having external content. The method includes monitoring a pointer movement in a web page. The web page displays a content feed of the external content. The method also includes identifying a pointer movement representative of an interaction gesture. The interaction gesture is indicative of a type of interaction with the content feed of the external content. The method also includes generating a score for the content feed in response to the pointer movement including an interaction gesture. The score includes a quantity of each of the reported types of interaction with the content feed.

Abstract: A first program obtains calculation resource information for determining computer calculation resource to be used by one of a plurality of second programs, one to be begun being executed by the computer, and releases, based on the calculation resource information obtained, a part of the computer calculation resource currently used by the first program. A second program is executed, using the released computer calculation resource. An information processing system comprises a parallel execution condition information obtaining unit for obtaining parallel execution condition information indicating condition of one of the plurality of second programs, one to be executed in parallel to the first program, the condition being set according to the first program and, and an execution restricting unit for restricting execution of a part or all of the plurality of second programs, based on the parallel execution condition information.

Abstract: A capture system may capture client events for an application session. Some client events may contain display information associated with screen gestures. The screen gestures may be associated with any user input that changes how images are displayed during the application session. For example, the screen gestures may comprise one or more of a scroll gesture, a touch start gesture, a touch move gesture, a touch end gesture, and/or a pinch gesture. In another example the screen gesture may comprise a reorientation of a device operating in the application session. A replay system may replay the application session based on the captured client events to recreate images displayed during the application session in response to the screen gestures.

Abstract: A method and apparatus of a device that removes constraints in solving a mathematical programming problem is described. The device identifies a plurality of constraints for bulk removal by postponing execution of constraint removal requests. The device further sorts the plurality of constraints based on a set of criteria to put the plurality of constraints in a sorted order. To sort the plurality of constraints based on the set of criteria, the device determines, for each identified constraint, the number of equations containing the constraint in the mathematical programming problem. The device further sorts the plurality of constraints based on the number of equations determined for each constraint. The device performs bulk constraint removal on the plurality of constraints based on the sorted order.

Abstract: A system and method includes a host device, an intermediate device and a user device. A network is in communication with the host device, the intermediate device and the user device. The host device communicates a first graphics command and a second graphics command to the intermediate device. The intermediate device composites the first graphics command and the second graphics command to form a composite graphics command and communicating the composite graphics command to the user device. The user device generates a screen display in response to the composite graphics command.

Abstract: A mobile device accepts a selection of a file for opening or editing or both. The file is associated with a file type. A mobile application on the mobile device identifies the file type associated with the file. A request message is constructed that is indicative of the file type and one or more user credentials. The request message is sent to a cloud server. The mobile device receives an address for a selected cloud image from the cloud server and, in response thereto, connects to a remote processing environment in the selected cloud image.

Abstract: A controller for a work machine includes a main board and a PC board. The main board includes a main controller that runs on a built-in work machine operating system, a first activator that activates the main controller when an activation signal for activating the controller is inputted, and an activation commander that outputs an activation-command signal to the PC board when the main controller becomes active. The PC board includes a PC controller that runs on an operating system for PCs, a network terminal, a network controller that outputs the activation signal to the main board when a specific signal for commanding activation is inputted, and a second activator that activates the PC controller when the activation-command signal outputted from the activation commander of the main board is inputted.

Abstract: Operation of a device may be enabled or disabled by an instruction that may be given in a variety of ways. For example, a device (e.g., a car) may be equipped with a mechanism that disables (“kills”) and/or enables (“unkills”) some or all of the functionality of the car upon receipt of an appropriate instruction. The instruction could be given remotely. For example, the instruction could be given remotely from a wireless telephone by sending appropriate messages through a network. An instruction to re-enable operation of the device could also be given remotely. The honoring of kill and/or unkill instructions could be predicated on some type of authentication, such as the identity of the device from which the instruction is issued, a password, a biometric identification, the location from which the instruction is issued, or some other factor.

Abstract: Embodiments are directed to utilizing reverse dependency injection for managing bootstrapping of applications in web browser and mobile environments. By using reverse dependency injection, embodiments enable a component to declare that it is a “dependency of” another component in a visual analyzer application. This ensures that the dependencies are loaded before the other component is loaded, thereby minimizing delays when a user starts up an application. In some embodiments, information identifying a plugin to be loaded can be received. Embodiments can determine configuration information for the plugin where the configuration information includes both forward and reverse dependencies. Embodiments may generate, based on the configuration information, a data structure that represents the forward and reverse dependencies. Embodiments may analyze the data structure to determine an ordered list of loadings.

Abstract: Methods, systems and computer program products for identifying virtual machines that perform inconsistent with a profile are provided. Methods may include collecting initial virtual machine data corresponding to multiple virtual machines. Multiple virtual machine profiles are generated and each of the virtual machine profiles is associated with one of multiple virtual machine types. Ones of the virtual machines are associated with one of the virtual machine profiles based on the virtual machine data. Additional virtual machine data corresponding to ones of the virtual machines is collected. The additional virtual machine data is analyzed to detect a deviation of one of the virtual machines.

Abstract: Embodiments of the invention relate to scalable policy management in an edge virtual bridging (EVB) environment. One embodiment includes a system including a physical end station including a hypervisor, wherein the physical end station creates at least one virtual machine (VM). A virtual station interface (VSI) database is coupled to a VM manager server. The VSI database stores policy information comprising one or more rules for different VM types and access rules. A policy management module is coupled to a switch adjacent to the physical end station. The policy management module generates a first table using at least a portion of the policy information, generates a second table with a portion of VM information received from the hypervisor for the VM, and uses the first table and the second table to retrieve and apply rules for the VM.

Abstract: Provided are techniques for comparing a first fileset associated with a first operating system (OS) with a second fileset associated with a second OS; determining, based upon the comparing, that the second OS is a more current version of the first OS; in response to the determining that the second OS is a more current version of the first OS, moving, in conjunction with live application mobility, a virtual machine (VM) workload partition (WPAR) on the first LPAR to a second LPAR, the moving comprising determining a set of overlays associated with the WPAR corresponding to the second OS; removing from the WPAR any overlays associated with the first OS; applying to the WPAR a set of overlays corresponding to the second OS; check pointing processes associated with the WPAR; and copying live data associated with the LPAR from the first LPAR to the second LPAR.

Abstract: An information processing unit of a communication apparatus includes a non-volatile memory and a volatile memory. A control unit of the communication apparatus loads the boot image from the non-volatile memory to the volatile memory upon activation of the communication apparatus, activates the virtual machine template in the loaded boot image on the volatile memory, deactivates the activated virtual machine template after reconfiguring the activated virtual machine template to minimum required configuration to execute a virtual machine.

Abstract: A method of security sandboxing which may include detecting an illicit intrusion to a computer on a first computer system; cloning the intruded computer; directing all traffic from the illicit intrusion to the cloned computer; observing activities of the illicit intrusion interacting with the cloned computer; and dynamically adapting the cloned computer to perform activities of predicted interest to the illicit intrusion based on the observed activities of the illicit intrusion. The steps of the method may be performed by one or more computing devices.

Abstract: A system for providing a zero copy transmission in virtualization environment includes a hypervisor that receives a guest operating system (OS) request pertaining to a data packet associated with a guest application, where the data packet resides in a buffer of the guest OS or a buffer of the guest application and has at least a partial header created during the networking stack processing. The hypervisor further sends, to a network device driver, a request to transfer the data packet over a network via a network device, where the request identifies the data packet residing in the buffer of the guest OS or the buffer of the guest application, and the hypervisor refrains from copying the data packet to a hypervisor buffer.

Abstract: Embodiments of apparatuses with a universal P2P service platform are disclosed herein. A unified infrastructure is built in such apparatuses and a unified P2P network may be established with such apparatuses. In various embodiments, such an apparatus comprises a P2P operating system (OS) virtual machine (VM) 202 and a client guest operating system (OS) virtual machine (VM) 204. There is a collection of P2P services in the P2P OS VM 202 and this VM 202 works as a peer node in the P2P network. There is a collection of API services in the client guest OS VM 204 and this VM 204 interacts with various P2P applications. The two VMs communicate with each other via a shared memory 216 and a virtual machine manager 214. In various embodiments, the apparatus further includes a security checker 318 located in the P2P OS VM 302. Other embodiments are also described.

Abstract: Embodiments of the disclosure include a method, a system, and a computer program product for modifying a stream operator based on the virtual resources. The method includes receiving a first resource allocation and a second resource allocation of a virtual resource for a virtual machine supporting a stream computing application. The method also includes determining whether the second resource allocation changed within a tolerance relative to the first resource allocation. The method also includes identifying a stream operator in the stream computing application using the virtual resource of the virtual machine. The method also includes modifying the stream operator to accommodate the second resource allocation in response to the second resource allocation changing relative to the first resource allocation.

Abstract: An adaptive request handler (ARH) receives a virtual machine (VM) request from a user and determines whether to automatically approve the VM request using a tolerance that defines an allowable amount of deviation from preset resource specifications. In some embodiments, the ARH adaptively varies the tolerance based on one or more monitored factors, such as an aggregate system resource utilization by and/or a billing history of the user or a group that includes the user. In some embodiments, the VM request is based on a template selected by the user from among a plurality of templates eligible for automatic approval, wherein a plurality of tolerances each defines an allowable amount of deviation from preset resource specifications of a respective one of the eligible templates. The ARH may, in some embodiments, vary each of the plurality of tolerances independently based on one or more monitored factors.

Abstract: In this disclosure, a resource scheduler is described that allows virtual machine instances to earn resource credits during the low activity levels. Virtual machine instances that spend a predominant amount of time operating at low activity levels are able to quickly gain resource credits. Once these virtual machine instances acquire enough resource credits to surpass a threshold level, the resource scheduler can assign a high priority level to the virtual machine instances that provide them with priority access to CPU resources. The next time that the virtual machine instances enter a high activity level, they have a high priority level that allows them to preempt other, lower priority virtual machine instances. Thus, these virtual machine instances are able to process operations and/or respond to user requests with low latency.

Abstract: In a general aspect, a computer-implemented method can include provisioning a virtual network on a hypervisor server. The method can also include querying the hypervisor server to determine an allowable range for a number of virtual ports of a first port group of a virtual switch implemented on the hypervisor server, the first port group being associated with the virtual network. The method can further include provisioning at least one virtual machine on the virtual network including assigning a respective virtual port of the first port group to the virtual machine. The method can still further include monitoring usage of the virtual ports of the first port group and, in response to the usage of the virtual ports of the first port group exceeding a threshold, instructing the hypervisor server to provision a second port group on the virtual switch, the second port group being associated with the virtual network.

Abstract: A method, system and computer program product for selecting a target hypervisor to run a migrated virtual machine. An “effective priority value,” representing the virtual machine's priority with respect to the other virtual machines running on the same hypervisor, is calculated for the virtual machine when it is running on the source hypervisor as well as if it were to run on a target hypervisor for each possible target hypervisor. The target hypervisor associated with the minimum difference in absolute value terms between the virtual machine's effective priority value calculated when it is running on the source hypervisor and its effective priority value calculated if it were to be migrated to run on a target hypervisor is selected to receive the migrating virtual machine. In this manner, the effective priority metric has enabled a target hypervisor to be chosen that most closely matches the priority environment of the source hypervisor.

Abstract: Storing data that includes receiving an indication to perform an operation with respect to data associated with a virtual machine storage abstraction; and using a meta information identifying which data stored on a storage system is associated with the virtual machine storage abstraction to perform the requested operation.

Abstract: A method, system and computer program product are provided for implementing dynamic adjustment of resources allocated to Single Root Input/Output Virtualization (SRIOV) Remote Direct Memory Access (RMDA) virtual functions (VFs) in Cloud Software Defined Server environments. A hardware management console (HMC), and a hypervisor are used to implement resource allocation to the SRIOV RDMA VFs based on resource usage. The hypervisor checks resource usage for the resource allocations of the SRIOV RDMA VF relative to lower and upper threshold values. Responsive to identifying the resource usage below the lower threshold or above the upper threshold, the hypervisor sends an event to the HMC, and the HMC starts a resource redistribution process.

Abstract: One or more services for enhancing guest utilization of a virtual machine and other VDC resources may be provided at the intermediary manager. In an embodiment, the intermediary manager intercepts a hypercall from a guest operating system that is separate from the intermediary manager. The intermediary manager determines that a particular intermediary service is associated with the hypercall and causes execution of service instructions associated with the particular intermediary service. The intermediary manager and guest operating systems may operate within a virtual machine hosted by a host machine and managed by a hypervisor. Embodiments may be useful in any of a virtualized enterprise computer system; a virtual machine infrastructure in a private data center; computing, storage or networking resources in a private cloud; computing, storage or networking resources of cloud service provider; and a hybrid cloud computing environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for clustering for parallel processing. One of the methods includes providing virtual machines with an interface to a shuffle service, the shuffle service executing external of the virtual machines. The method includes receiving data records through the interface, each data record having a key and a value. The method includes partitioning the data records, using the shuffle service, according to the respective keys. The method includes providing a part of the partitioned data records through the interface to the virtual machines, wherein data records having the same key are provided to the same virtual machine. Each of the virtual machines can execute on a host machine and each of the virtual machine is a hardware virtualization of a machine.

Abstract: A data processing control device performs a MapReduce process. When the data processing control device assigns input data to first Reduce tasks and a second Reduce task performed by using a result of Map processes, the data processing control device assigns input data with smaller amount than any of amounts of the input data which is assigned to the first Reduce tasks to the second Reduce task. The data processing control device assigns the first Reduce tasks and the second Reduce task, to which input data is assigned, to a server that performs Reduce processes in the MapReduce process such that the second Reduce task is started after the assignment of all of the first Reduce tasks.

Abstract: A processor, system, and method are described for continued retirement of operations during a commit of a speculative region of program code. For example, one embodiment of a method comprises the operations of identifying a plurality of transactional memory regions in program code, including a first transactional memory region; and retiring one or more of a plurality of operations which follow the first transactional memory region even when a commit operation associated with the first transactional memory region is waiting to complete.

Abstract: A computing device has first and second virtual machines (VMs) and a resource assigned to the first VM. Each access request for the resource is forwarded thereto until the first VM is to be saved or migrated. Thereafter, each access request is forwarded to a holding queue. When the resource has acted upon all access requests forwarded thereto, the resource is reassigned to the second VM, and each access request at the holding queue is forwarded to the second VM and then the resource. Thus, all access requests for the resource are acted upon by the resource even after the resource is removed from the first VM and assigned to the second VM, and the save or migrate of the first VM can thereafter be completed.

Abstract: A method for scheduling the execution of a computer instruction, receive an entitlement processor resource percentage for a logical partition on a computer system. The logical partition is associated with a hardware thread of a processor of the computer system. The entitlement processor resource percentage for the logical partition is stored in a register of the hardware thread associated with the logical partition. An instruction is received from the logical partition of the computer system and the processor dispatches the instruction based on the entitlement processor resource percentage stored in the register of the hardware thread associated with the logical partition.

Abstract: Embodiments of the present invention disclose an application heartbeat period adjusting method and apparatus, and a terminal, and in the embodiments, it is determined, according to an identifier of an application, that the application is in a heartbeat adjustment blacklist. A first heartbeat period of the application is adjusted to a second heartbeat period according to a preset trigger heartbeat period. The heartbeat adjustment blacklist includes an identifier of an application on which a heartbeat period adjustment needs to be performed, the first heartbeat period of the application is an original heartbeat period of the application, the second heartbeat period is a heartbeat period, which is adjusted according to the preset trigger heartbeat period, of the application, and the preset trigger heartbeat period is an adjustment period according to which the first heartbeat period is adjusted.

Abstract: A resource assignment capability is presented. A resource specification associated with a plurality of elements is received. The resource specification includes, for each of the elements, a resource request including an indication of a quantity of resources requested by the element and a resource offer including an indication of a quantity of resources offered by the element for use by one or more other elements. A resource assignment, including an indication of an association between the resources requests and the resource offers, is determined using a resource assignment process. The resource assignment process may be a greedy assignment process or a maximum flow resource assignment process. The maximum flow resource assignment process includes constructing a maximum flow resource graph based on the one or more resource specifications and applying a maximum flow process to the maximum flow resource graph to determine thereby the resource assignment.

Abstract: A method, non-transitory computer readable medium, and resource management computing device comprises identifying one or more workload bursts in a production environment. One or more additional resources in a non-production environment required to manage the one or more workload burst in a production environment is determined by comparing an environment resource consumption value against a permissible maximum value, wherein the environment resource consumption value is a value indicating usage of each of the one or more resources. One or more additional resources are identified in the non-production environment. The identified one or more additional resources are provided to handle the one or more workload bursts.

Abstract: In a computing resource environment including at least one resource capable of being allocated to at least one of a plurality of tasks, techniques are disclosed for applying a taint to a resource in a computing resource environment, the taint being configured to prevent the resource from being claimed for a resource request without a toleration to that taint. Variations include receiving, at a resource scheduler in the resource environment, a request to allocate the resource to perform a particular task and determining whether the resource is subject to a taint. If the resource is subject to a taint, analyzing the request to determine if it includes a toleration for the taint. If the request includes a toleration for the taint, allocating the resource to the task. If the request does not include a toleration for the taint, not allocating the resource due to the taint.

Abstract: A method, an apparatus and an article of manufacture for generating resource selection information. The method includes monitoring at least one resource and at least one resource change performed by at least one user, analyzing a user request, wherein the user request comprises resource parameter information, searching for at least one similar resource request based on the user request and on monitored information and generating an output based on analysis of the user request, wherein the output comprises at least one candidate resource set and a corresponding rationale for selection of the at least one candidate resource set based on historical data.

Abstract: Systems and methods are disclosed for managing resources associated with cluster-based resource pool(s). According to illustrative implementations, innovations herein may include or involve one or more of best fit algorithms, infrastructure based service provision, tolerance and/or ghost processing features, dynamic management service having monitoring and/or decision process features, as well as virtual machine and resource distribution features.

Abstract: Methods and systems for optimizing resources are disclosed. A method for optimizing resources may include aggregating a first data and a second data from a plurality of network resources into a context information set, deriving a complex context information set from an association of the first data and the second data in the context information set, receiving a resource request, generating an optimized resource request based on an optimization criteria, identifying a network resource to perform the optimized resource request based on the context information set and the complex context information set, executing an action with the network resource to fulfill the optimized resource request, and updating the context information set based on the action.

Abstract: Dynamic provisioning of computing resources may be implemented to provision computing resources for a data center or other collection of computing resources. Computing resources for provisioning may be detected. A build manifest describing configuration operations to provision the computing resources to perform respective tasks may be identified. The build manifest may be evaluated to direct the computing resources to perform the configuration operations according to the build manifest. In some embodiments, the provisioning of the computing resources may be paused or undone according to the build manifest. Upon completion of the configuration operations, the computing resources may be made available to perform the respective tasks.

Abstract: Access is provided to a first tier of limited persistent storage at a server. A first set of data from the first tier is synchronized across devices associated with a user account. Access is provided to a second tier of persistent storage on a local, tangible non-volatile storage medium, and to a third tier of temporary storage on a local, tangible volatile storage medium. A web browser receives a storage request from a web application or browser extension. The request includes a type of a tier of data storage associated with a feature of the web application or browser extension. The type includes at least one of the first tier of remote limited persistent storage, the second tier of local persistent storage, or the third tier of local temporary storage. At least one feature of the web application or browser extension is associated with the tier of data storage.

Abstract: Techniques are provided for latency-hiding context management for concurrent distributed tasks. A plurality of task objects is processed, including a first task object corresponding to a first task that includes access to first data residing on a remote machine. A first access request is added to a request buffer. A first task reference identifying the first task object is added to a companion buffer. A request message including the request buffer is sent to the remote machine. A response message is received, including first response data responsive to the first access request. For each response of one or more responses of the response message, the response is read from the response message, a next task reference is read from the companion buffer, and a next task corresponding to the next task reference is continued based on the response. The first task is identified and continued.

Abstract: Provided is a task allocation optimizing system that, for a development target system which has a plurality of states and which is provided with multi-cores, makes an allocation of tasks to the cores such that a performance of the target system does not significantly degrade in a specific one of the states. The task allocation optimizing system according to the present invention performs optimization by calculating, for each of the states, a state-evaluating-function value, which represents the preferability of an allocation to the cores, through using a task set operating in the state, and further calculating a consolidated evaluating-function value as a whole of operation of the target system, through consolidating the state-evaluating-function values for all states targeted for an evaluation.

Abstract: A method for managing data distribution within a networked computing environment, the method including receiving one or more tasks and associated task priorities. The method includes determining a current resource allocation for a plurality of computing devices within the networked computing environment. The method includes determining, based, at least in part, on the received task priorities and the current resource allocation, at least one of the plurality of computing devices to assign as a source computing device, and sending at least one of the one or more tasks to the at least one source computing device.

Abstract: Various embodiments are directed to systems and methods for work queue thread balancing. A global thread pool manager may be configured to receive a request to add a work item to a constituent work queue. The constituent work queue may be described by a work queue thread property. The global thread pool manager may add the work item to the constituent work queue and match the work item to a global thread selected from a global thread pool. The global thread may be configured according to the work queue thread property to generate a configured global thread. The configured global thread may execute the work item.

Abstract: Improving the performance of multitasking processors are provided. For example, a subset of M processors within a system with N processors is dedicated for a desired task. The M (where M>0) of the N processors are dedicate to a task, thus, leaving N?M (N minus M) processors for running normal operating system (OS). The processors dedicated to the task may have their interrupt mechanism disabled to avoid interrupt handler switching overhead. Therefore, these processors run in an independent context and can communicate with the normal OS and cooperation with the normal OS to achieve higher performance.

Abstract: Techniques for tracking large numbers of moving objects in an event processing system are provided. An input event stream can be received, where the events in the input event stream represent the movement of a plurality of geometries or objects. The input event stream can then be partitioned among a number of processing nodes of the event processing system, thereby enabling parallel processing of one or more continuous queries for tracking the objects. The partitioning can be performed such that each processing node is configured to track objects in a predefined spatial region, and the spatial regions for at least two nodes overlap. This overlapping window enables a single node to find, e.g., all of the objects within a particular distance of a target object, even if the target object is in the process of moving from the region of that node to the overlapping region of another node.

Abstract: A system and methodology that facilitates improving performance of a Home Subscriber Server (HSS) during overload conditions, by embedding a unique Application Session Identifier (app session ID) within multiple requests associated with a single call processing session is provided. Moreover, the system includes an overload protection component that identifies whether an incoming request is associated with previously processed requests based in part of the app session ID embedded within the incoming request. When the HSS is overloaded, the incoming requests that initiate a new call processing session and are not associated with previously processed requests are rejected/dropped before incoming requests that are associated with requests that have been previously processed.

Abstract: A method, computer program product, and computer system for dynamically grouping and un-grouping processing operators and processing elements used by a streaming application. A distributed processing elements utilization of resources may be monitored to identify candidate operators and candidate processing elements for at least one of parallelization and fusion. At runtime, via at least one of parallelization and fusion, the grouping and un-grouping of the identified candidate operators and candidate processing elements may be dynamically adjusted.

Abstract: A first network device determines capabilities of resources in a section of a network that is accessible using the first network device. The first network device groups the resources into a resource cluster. The first network device advertises the resource cluster in the network, wherein each of a plurality of network devices advertise a resource cluster associated with sections of the network. A second network device receives a request for providing a service. The second network device groups the request into a plurality of request clusters. The second network device selects at least one resource cluster for providing the service based on information associated with the request clusters and the advertised resource clusters. The second network device allocates resources included in the at least one resource cluster for providing the service based on selecting the at least one resource cluster.

Abstract: A global-level manager access a work order from a client and parameters associated with the work order. A service level agreement to meet the work order parameters is determined. The service level agreement includes a price. An indication is received from the client that the service level agreement is accepted. The one or more input files are partitioned into multiple shards, and the work order into multiple jobs. The jobs are distributed among a plurality of clusters to be processed using underutilized computing resources in the clusters. The job outputs are combined to form the work order output. The jobs are monitored to insure that the deadline for completion of the work order will be met.

Abstract: Disclosed are a method of and system for profiling a computer program. The method comprises the steps of using a utility application to execute the computer program; and on the basis of said execution of the computer program, identifying specific performance requirements of the computer program. A profile of the computer program is determined from said identified performance requirements; and based on said determined profile, resources for the computer program are selected from a grid of computer services.

Abstract: Techniques for effectuating a virtual NUMA architecture for virtual machines are disclosed herein. In an embodiment, a system determines the physical topology of a datacenter. When instantiating a virtual machine, the system determines a number of NUMA nodes for that VM based on the physical topology. The system then directs a second system to instantiate the virtual machine with the determined number of NUMA nodes.