Abstract: Memory security technologies are described. An example processing device includes a processor core and a memory controller coupled to the processor core and a memory. The processor core can determine that an exit condition to transfer control of a resource for a processor core from a first virtual machine monitor (VMM) to a second VMM has occurred. The processor core can also determine whether a control virtual machine control structure (VMCS) link pointer is valid. The processor core can also determine whether a reason value corresponding to the control VMCS link pointer is set. The processor core can also determine whether the reason value is set to zero. The processor core can also determining whether an exception bit corresponding to a specific exception type of a reason value is set. The processor core can also transfer a control of the resource from the first VMM to the second VMM.

Abstract: Systems and methods for Virtual Network Function (VNF) service chain optimization include, responsive to a request, determining placement for one or more VNFs in a VNF service chain based on a lowest cost determination; configuring at least one programmable region of acceleration hardware for at least one VNF of the one or more VNFs; and activating the VNF service chain. The lowest cost determination can be based on a service chain cost model that assigns costs based on connectivity between switching elements and between hops between sites. The activating can include a Make-Before-Break (MBB) operation in a network to minimize service interruption of the VNF service chain.

Abstract: An illustrative “Live Synchronization” feature in a data storage management system can reduce the downtime that arises in failover situations. The illustrative Live Sync embodiment uses backup data to create and maintain a ready (or “warm”) virtualized computing platform comprising one or more virtual machines (“VMs”) that are configured and ready to be activated and take over data processing from another data processing platform operating in the production environment. The “warm” computing platform awaits activation as a failover solution for the production system(s) and can be co-located at the production data center, or configured at a remote or disaster recovery site, which in some embodiments is configured “in the cloud.” Both local and remote illustrative embodiments are discussed herein. An “incremental forever” approach can be combined with deduplication and synthetic full backups to speed up data transfer and update the disaster recovery sites.

Abstract: In accordance with embodiments of the present disclosure, a method may include responsive to issuance of, by an application executing on a virtual machine of a hypervisor executing on a processor subsystem of an information handling system, an instruction triggering a virtual machine exit of the virtual machine, invoking a virtual machine exit handler of the hypervisor to handle the instruction. The method may also include determining by the virtual machine exit handler whether the instruction has a characteristic indicating that the instruction should be handled by a hardware accelerator device of the information handling system communicatively coupled to the processor subsystem and responsive to determining that the instruction has a characteristic indicating that the instruction should be handled by the hardware accelerator device, offloading by the virtual machine exit handler processing of the instruction to the hardware accelerator device.

Abstract: Automated techniques are disclosed for minimizing communication between nodes in a system comprising multiple nodes for executing requests in which a request type is associated with a particular node. For example, a technique comprises the following steps. Information is maintained about frequencies of compound requests received and individual requests comprising the compound requests. For a plurality of request types which frequently occur in a compound request, the plurality of request types is associated to a same node. As another example, a technique for minimizing communication between nodes, in a system comprising multiple nodes for executing a plurality of applications, comprises the steps of maintaining information about an amount of communication between said applications, and using said information to place said applications on said nodes to minimize communication among said nodes.

Abstract: A technique for dynamically provisioning virtual machines for running a cloud-based software application includes querying a pool manager of a multi-tiered pool of virtual machines to identify a set of classes of virtual machines, which meet a specified size criterion, and a respective TVC (time-variant characteristic) for each class. If an identified one of the set of classes has a smaller TVC than a TVC of one of the virtual machines currently running the application, the technique proceeds to swap the current virtual machine for a virtual machine having the identified class.

Abstract: A system and method include migrating virtual machines (VMs) between compute only (CO) and hyper converged (HC) nodes. The method includes identifying, by a management processor of a virtual computing system, a plurality of virtual machines hosted on compute only (CO) nodes in the virtual computing system. The management processor then identifies hyper converged (HC) nodes having virtual disks hosting data for the plurality of virtual machines hosted on CO nodes. When a virtual machine (VM) in the plurality of virtual machines is migrating, the management processor biases the VM to migrate to a first HC node hosting a virtual disk assigned to host data for the VM.

Abstract: Systems and methods for providing a continuous uptime of guest Virtual Machines (“VMs”) during upgrade of a virtualization host device. The methods comprising: connecting all of the guest VMs' frontends or drivers to at least one old control VM which is currently running on the virtualization host device and which contains old virtualization software; creating at least one upgraded control VM that contains new virtualization software and that is to replace the old VM in the virtualization host device; connecting the guest VMs' frontends or drivers to the upgraded VM; and uninstalling the old control VM from the virtualization host device.

Abstract: A system and method for supporting an association-aware executor service in a distributed computing environment comprising. The system can provide an executor service associated with a thread pool, the thread pool containing a plurality of threads. The system can receive, at the executor service, a plurality of work requests, each work request being associated with a key of a plurality of keys. The system can define groups of work requests, each group of work requests comprising one or more work requests having a same key. The system can queue, on the plurality of threads in the thread pool, the groups of work requests, each group of work requests being queued on a different thread. All work requests in a particular group are executed on the same thread.

Abstract: System and methods for implementing dataflow life cycles are described and include forming, by a first server computing system, a dataflow life cycle by associating a dataflow with a customized code; associating, by the first server computing system, the customized code of the dataflow life cycle with context information, the customized code including one or more of pre-processing customized code and post-processing customized code; scheduling, by the first server computing system, the dataflow of the dataflow life cycle to be executed by a second server computing system when the customized code includes the pre-processing customized code and when the pre-processing customized code is successfully executed by the first server computing system; and executing, by the first server computing system, the post-processing customized code when the customized code includes the post-processing customized code and when the dataflow of the dataflow life cycle is successfully executed by the second server computing system

Abstract: A request is received for determining a task completion rate of each of a first set of tasks associated with a set of task attributes. The first set of tasks are scheduled to be completed within a first timer period. An MAPE score is calculated or obtained for each of the completion rate predictive models, which is determined based on prior predictions performed in a second time period in the past. The duration of the second time period is a multiple of the first time period. One of the predictive models is selected based on the MAPE scores of the predictive models, where the selected model has the lowest MAPE score amongst the predictive models in the set. In another embodiment, a predictive model is selected further based on the volatility scores of the predictive models. A model with a combination of lowest MAPE score and volatility score is selected.

Abstract: Example implementations relate to virtual appliances. In an example, a processor-based appliance abstraction engine exposes a programming interface for accessing undifferentiated resources of a computing environment irrespective of the type of the computing environment. Computing environment types may include physical infrastructure, virtual infrastructure, or cloud infrastructure. The appliance abstraction engine discovers available resources of the computing environment and creates a virtual appliance by configuring the discovered available resources of the computing environment according to capabilities defined in a specification and by populating the computing environment with artifacts for a computing platform defined in the specification.

Abstract: A data processing system configured to execute a plurality of threads includes a plurality of domains and a plurality of domain interrupt controller circuits, each domain interrupt controller corresponding to a domain of the plurality of domains. Each domain interrupt controller includes an interrupt selection circuit configured to select an interrupt request from a set of interrupt requests received by the interrupt selection circuit and determine an interrupt vector for the selected interrupt request, a programmable domain-thread storage circuit configured to store an enable indicator corresponding to each thread of the plurality of threads in which the enable indicator for each corresponding thread indicates whether or not the corresponding domain is permitted to route interrupt vectors to the corresponding thread, and a routing circuit configured to route the interrupt vector to a selected thread of the plurality of threads which is selected based at least in part on the enable indicators.

Abstract: A computer-implemented method, system and computer program product for managing a software application. Load information indicative of a workload over time of one or more computing resources being used by the software application is monitored. Furthermore, social information indicative of a social activity over time relating to the software application is monitored. An estimated correlation between the monitored load information and the monitored social information is determined. A future requirement of the computing resources for the software application is then forecasted according to the monitored social information and the estimated correlation for use in provisioning the computing resources to the software application accordingly.

Abstract: For measuring component utilization in a system having a plurality of subsystems, an energy consumption of each of the plurality of subsystems is monitored whether or not each subsystem performs at least a portion of an overall computation. Respective workloads are classified based upon an energy consumption pattern associated with the monitored energy consumption of each of the plurality of subsystems.

Abstract: Described is a framework (or technique or method) and system for providing a distributed computing network including different types of devices. The framework allows peer devices to transmit “packages” of information (e.g. messages) throughout the network as conceptual units of a job or data. The framework allows portable code, which is used to perform one or more jobs, to be transportable between peer devices. A device may transmit portable code describing a computation to another device, and the receiving device may then compile the code into executable form that is compatible with the architecture of the particular device. The compiled code may execute functions to perform one or more computations to fulfill job requests as part of a distributed computing protocol.

Abstract: A system, method and the like for allocating computing resources to data processing services/applications based on the current or foreseen usage/load of the computing resources. The elastic nature of the computing resource grid allows for expansion or contraction of ancillary use of the computing resources depending on the data processing requirements and computer resource usage. Further, virtual binary codes are deployed on the computing resources, which are executed at the application layer and configured to be removed upon completion of a job or in the event that the usage state of the computing resource dictates such. The removal of the virtual binary codes from the computing resources provides for no residual effect on the computing resources (i.e., no code remains in computing resource memory and, as such no processing capabilities are subsequently used).

Abstract: Application servers having multiple virtual machines are restarted by sequentially addressing each active virtual machine (VM) by adding a corresponding new VM prior to stopping the active VM before adding another new VM corresponding to another of the multiple virtual machines to be restarted. Application servers are monitored for restart conditions that trigger a sequential process of adding a new VM and stopping the corresponding active VM.

Abstract: A method and system for allocating data processing jobs between public and private cloud based on various SLA and cost factors associated to each job, and particularly, job allocation using minimal cost association by applying logistic regression. Jobs are analyzed based on various factors such as compute and operational intensity, kind of environment, I/O operations bandwidth, costs involved to deploy in private and public cloud and all these parameters are balanced to arrive at minimized cost. Methods are implemented for receiving input data representing a current request to run a job on a virtual machine, associated job characteristics, features associated with VMs running on a public networked or private networked host computing environment, and features associated with the host computing environment.

Abstract: The invention discloses a method for realizing virtual secure element (VSE), which comprises the following steps: a secure element manager (SEM) generates a request which comprises virtualized configuration information; and a virtual machine monitor in a hypervisor allocates an address space for the VSE according to the above request.