Abstract: Provided are techniques for encrypting a virtual disk of a virtual computing instance (VCI) while the VCI is online and still running using a mirror driver. In certain aspects a mirror driver is a filter running in an I/O stack used for accessing a virtual disk, such that the mirror driver receives I/Os destined to the virtual disk and mirrors those I/Os to the virtual disk and one or more additional virtual disks. The mirror driver begins copying data from an unencrypted source virtual disk to a destination virtual disk, and the data is encrypted as it is stored in the destination virtual disk, while the VCI is still online. During the copying, as new writes are issued to the unencrypted source virtual disk from the VCI, the mirror driver mirrors the writes to both the unencrypted source virtual disk and the destination virtual disk.

Abstract: In one implementation, systems and methods are provided for developing a computer-implemented digital experience application having a first and a second micro-application. Each micro-application includes a front end interface configured to receive and display information. The first micro-application includes a first event manager configured to detect an application event belonging to a category, and a first state manager configured to detect an application state belonging to the category. The digital experience application further includes a driver application configured to host the first and second micro-applications, an event hub configured to receive the detected application event from the first micro-application, and a state store configured to store the detected application state received from the first micro-application.

Abstract: An electronic device for providing an in-vehicle infotainment (IVI) service using migration and a method thereof are provided. The electronic device includes a housing, a connector exposed through the housing and connected to an IVI system, a processor positioned in the housing and operatively connected with the connector, and a memory positioned in the housing and be operatively connected with the processor. The memory includes a first system software, a hypervisor configured to execute the first system software, and instructions.

Abstract: A guest operating system (120) of a virtual machine (12) writes, into a shared memory (111), data destined for a virtual machine (13) together with a destination ID and a source ID. The delivery manager (181) supplies data to a communicator (182) when a determination is made that an information processing device (21) is specified in a delivery information table (161) as a delivery destination corresponding to the destination ID and the source ID. The communicator (182) transmits the data supplied from the delivery manager (181) to the information processing device. The delivery manager (181) writes first data into a shared memory (112) and delivers the first data to the virtual machine (13) when determining that a delivery destination corresponding to the destination ID and the source ID is not specified in the deliver information table (161).

Abstract: Systems and methods are described for modifying input and output (I/O) to an object storage service by implementing any combination of and any number of owner-specified functions and native functions. A function can implement a data manipulation. The functions can be applied prior to implementing a request method (e.g., GET, PUT, LIST, etc.) specified within the I/O request, such that the data to which the method is applied may not match the object specified within the request. For example, a user may request to obtain a data set. The data set may be passed to a native function that filters sensitive data to the data set, the output of the native function may be passed to an owner-specified function that redacts data from the filtered data set, and the request method may then be applied to the output of the owner-specified function.

Abstract: Disclosed examples to perform instruction-level graphics processing unit (GPU) profiling based on binary instrumentation include: accessing, via a GPU driver executed by a processor, binary code generated by a GPU compiler based on application programming interface (API)-based code provided by an application; accessing, via the GPU driver executed by the processor, instrumented binary code, the instrumented binary code generated by a binary instrumentation module that inserts profiling instructions in the binary code based on an instrumentation schema provided by a profiling application; and providing, via the GPU driver executed by the processor, the instrumented binary code from the GPU driver to a GPU, the instrumented binary code structured to cause the GPU to collect and store profiling data in a memory based on the profiling instructions while executing the instrumented binary code.

Abstract: In one implementation, systems and methods are provided for developing a computer-implemented digital experience application having a first and a second micro-application. Each micro-application includes a front end interface configured to receive and display information. The first micro-application includes a first event manager configured to detect an application event belonging to a category, and a first state manager configured to detect an application state belonging to the category. The digital experience application further includes a driver application configured to host the first and second micro-applications, an event hub configured to receive the detected application event from the first micro-application, and a state store configured to store the detected application state received from the first micro-application.

Abstract: In one implementation, systems and methods are provided for developing a computer-implemented digital experience application having a first and a second micro-application. Each micro-application includes a front end interface configured to receive and display information. The first micro-application includes a first event manager configured to detect an application event belonging to a category, and a first state manager configured to detect an application state belonging to the category. The digital experience application further includes a driver application configured to host the first and second micro-applications, an event hub configured to receive the detected application event from the first micro-application, and a state store configured to store the detected application state received from the first micro-application.

Abstract: A parallel hypervisor system for virtualizing application-specific supercomputers is disclosed. The hypervisor system comprises (a) at least one software-virtual hardware pair consisting of a software application, and an application-specific virtual supercomputer for accelerating the said software application, wherein (i) The virtual supercomputer contains one or more virtual tiles; and (ii) The software application and the virtual tiles communicate among themselves with messages; (b) One or more reconfigurable physical tiles, wherein each virtual tile of each supercomputer can be implemented on at least one physical tile, by configuring the physical tile to perform the virtual tile's function; and (c) A scheduler implemented substantially in hardware, for parallel pre-emptive scheduling of the virtual tiles on the physical tiles.

Abstract: In a backup system for a virtual infrastructure, the actual number of virtual machines protected by a backup server is determined for a given instant of time, and is used to calculate the number of virtual proxies required to protect the that actual number of virtual machines, and to deploy automatically the required virtual proxies in the virtual infrastructure.

Abstract: In a computer-implemented method for modifying a state of a virtual machine, information between two states of a virtual machine is compared, wherein the two states include a current state of the virtual machine and previous state of the virtual machine. The previous state of the virtual machine is included within a snapshot of the virtual machine at the previous state. Information that is different between the two states is identified. The information that is different between the two states is presented, wherein the information that is different is selectable for copying between the two states.

Abstract: A distributed cluster training method and an apparatus thereof are provided. The method includes reading a sample set, the sample set including at least one piece of sample data; using the sample data and current weights to substitute into a target model training function for iterative training to obtain a first gradient before receiving a collection instruction, the collection instruction being issued by a scheduling server when a cluster system environment meets a threshold condition; sending the first gradient to an aggregation server if a collection instruction is received, wherein the aggregation server collects each first gradient and calculates second weights; and receiving the second weights sent by the aggregation server to update current weights. The present disclosure reduces an amount of network communications and an impact on switches, and avoids the use of an entire cluster from being affected.

Abstract: A data management process determines, from user-implemented provisional reservations (400) for data processing resources, a projected total capacity requirement for each said data processing resource, by maintaining a record (9, 90, 91) recording previous such reservations made by each user and comparing each reservations with records (87, 88, 89) of the actual resources used, to provide an estimate of resources required to meet the projected capacity requirement, and to provide data for a demand management processor (2), which control associated configurable data processing equipment (1) to provide the resources required to meet the estimated capacity required. The process takes account of over- and under-ordering of capacity by comparing each reservation (400) with the use actually made (600), and includes a record (10) of ad-hoc (unreserved) usage.

Abstract: A virtual machine live migration method, apparatus, and system relating to the field of communications technologies are disclosed. The method includes: in a process of live migration of a target virtual machine, obtaining pre-recorded storage location information corresponding to target service configuration information, where the target service configuration information is used by a target virtual acceleration component corresponding to the target virtual machine to perform service processing; reading the target service configuration information in a storage location corresponding to the storage location information; and sending the target service configuration information to a destination server, so that the destination server stores the target service configuration information. In the present disclosure, a service processing failure can be avoided.

Abstract: One or more software products/services may be installed on a cloud deployment. Product versions of such services can be upgraded (or rolled back) based on a deployment plan comprising tasks adapted to reach a target deployment state. A central upgrade server can forward tasks to an upgrade agent for execution, the tasks being based on a current operational state of the cloud deployment (obtained by the upgrade agent) and one or more constraints. In multiple node deployments, some nodes may be upgraded to a new product version, while other nodes are kept at a current product version until stability of the new product version is determined. Traffic across nodes can be shaped to ensure a deployment is healthy before upgrading other nodes/deployments. If the health of a node/deployment does not meet specified criteria, an upgrade can be stopped, an alert can be triggered, and the node/deployment can be rolled back.

Abstract: Techniques are provided for enforcing policies at a sub-logical unit number (LUN) granularity, such as at a virtual disk or virtual machine granularity. A block range of a virtual disk of a virtual machine stored within a LUN is identified. A quality of service policy object is assigned to the block range to create a quality of service workload object. A target block range targeted by an operation is identified. A quality of service policy of the quality of service policy object is enforced upon the operation using the quality of service workload object based upon the target block range being within the block range of the virtual disk.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve workload domain management of virtualized server systems. An example apparatus includes a resource pool handler to generate a pool of virtualized servers including a first virtualized server based on a policy, ones of the virtualized servers to be allocated to a workload domain to execute an application, a resource status analyzer to determine a health status associated with the workload domain and determine whether the health status satisfies a threshold based on the policy, and a resource allocator to allocate the first virtualized server to the workload domain to execute the application when the health status is determined to satisfy the threshold.

Abstract: Methods and systems for deploying images to computing systems include predicting an environment for a plurality of processing nodes. Image deployment to the plurality of processing nodes is simulated to determine a subset of the plurality of processing nodes for deployment. One or more images is pre-loaded to the subset of the plurality of processing nodes in advance of a deployment time.

Abstract: A hardware request of an application is detected. The Application executes on a virtualized computer system. It is determined that the hardware request includes a counter. The counter is to be performed by the virtualized computer system. The counter includes a counter value. The hardware request is intercepted before the it is processed by a hypervisor that hosts the virtualized computer system. The interception is based on the determining the hardware request includes the counter. The counter value is saved in a secure memory. The secure memory is obscured from the hypervisor. A scrambled counter value is generated. The hardware request is updated with the scrambled counter value. After the hardware request is updated it is provided to the hypervisor.

Abstract: A distributed system including multiple processing nodes. The distributed system can perform certain acts. The acts can include receiving a set of input nodes and a set of criteria. The acts can include obtaining an adjacency list representing a large connected component. The large connected component can include nodes, edges, and edge metadata. A quantity of the nodes of the large connected component can exceed 1 billion. The adjacency list can be distributed across the multiple processing nodes. The nodes of the large connected component can include the input nodes. The acts also can include performing one or more iterations of traversing the large connected component until a stopping condition is satisfied.