Abstract: A job assignment apparatus includes a processor configured to perform assignment of a first job to a first arithmetic device and a second arithmetic device in such a way that data is transmitted in a first direction, the first job being processed in a process algorithm in which a plurality of arithmetic devices sequentially transmit data, the first arithmetic device being connected to the second arithmetic device via a first switch and a second switch, the first direction being a direction from the first switch to the second switch, and perform assignment of a second job to a third arithmetic device and a fourth arithmetic device in such a way that data is transmitted in a second direction, the third arithmetic device being connected to the fourth arithmetic device via the first switch and the second switch, the second direction being a different direction from the first direction.

Abstract: Managing seamless server halt and restart is provided. A suspend event corresponding to a non-non-volatile dual-inline memory module (non-NVDIMM) server that comprises a set of virtual machines is received. In response to receiving the suspend event corresponding to the non-NVDIMM server, running virtual machine processes are stopped on the non-NVDIMM server. Virtual machine state information corresponding to stopped non-NVDIMM server virtual machine processes is saved on a set of non-volatile dual-inline memory modules (NVDIMMs) located in a non-volatile dual-inline memory module (NVDIMM) server.

Abstract: Systems, methods and computer program products are provided. Metadata associated with an integration flow comprising a sequence of nodes are received. The metadata identifies data in one or more data objects used by the nodes of the integration flow. In response to initiation of the integration flow, an input data object is received. Initial context data for the integration flow are extracted, from the input data object, based on the metadata. The context data is processed at each of the nodes of the integration flow, wherein one or more of the nodes adds data from its output data object to the context data based on the metadata. Remaining data from the output data objects of one or more of the nodes which was not added to the context data based on the metadata is discarded.

Abstract: Techniques for instantiating container instances from a pool of available container instances are described herein. An instance type is determined from a container description such that the instance type satisfies the resource parameters in the container description. An instance of the instance type is selected from a pool of running container instances, the instance is provisioned, and a container is instantiated on the instance.

Abstract: Usage instrumented workload scheduling is disclosed. For example, a plurality of nodes host first and second pluralities of guests. An orchestrator includes a usage monitor, a workload classifier, and a scheduler, and executes on a processor to track, by the usage monitor, respective usage patterns of a plurality of accounts including a first account. A first workload is received from the first account, which has a first account factor based on the respective usage patterns of the first account. The first workload is assigned by the workload classifier to a first workload type of a plurality of workload types. The first workload is assigned by the scheduler to the first plurality of guests based on the first account factor and the first workload type.

Abstract: The present invention relates to computer systems, computer implemented methods and computer executable code configured to provide secure PC solutions based on a virtual desktop infrastructure (VDI) including IPTV via VDI to secure locations such as prison cells. The invention is embodied in a networked system that provides a plurality of virtual machines that are hosted in a Virtual Environment, with data stored in a shared Storage Area Network (SAN). Secure application streaming technology is applied as a broker to deliver a secure user experience to the end users. The solution is based on providing a complete end-to-end solution delivering published apps to users on in-cell devices. The system is configured to provide functionalities including: (i) streaming of TV services to the cells via IPTV; and (ii) eLearning via the VDI environment.

Abstract: Systems, methods, and software technology for governing resource utilization in a computing environment. In an implementation, a governance thread started by a job manager process identifies threads running within the job manager process and associates each of the threads with one of various jobs. The governance thread then tracks a resource utilization level of each of the jobs based on the resource utilization level of each of the threads associated with the job. When the resource utilization level of any of the jobs exceeds a threshold, the governance thread is able to shut down at least one of the threads associated with the job.

Abstract: Techniques for providing customer feedback related to virtual machine instance maintenance events are described herein. A customer is provided with an event message specifying a virtual machine maintenance operation and a proposed time to perform that virtual machine maintenance operation. A response that specifies the time that the customer wishes to perform the virtual machine maintenance operation is received and the virtual machine maintenance operation is scheduled based at least in part on that specified time.

Abstract: An apparatus includes an interface and a processor. The interface is configured to receive attributes of communication connections of multiple workloads running in a computing system. The processor is configured to automatically segment the multiple workloads into groups based on the attributes of the communication connections, wherein the workloads in each group collectively run a respective application.

Abstract: Techniques related to graphics processor workload acceleration are discussed. Such techniques may include combining multiple media tasks into one function call, providing a single batched media command set for the media tasks based on the one function call and a batched media command template, and performing the media tasks based on the single batched media command set to generate output media data.

Abstract: Embodiments of the invention enable any request to download data to a computer system to be performed such that the requested data is stored in a dedicated virtual machine. A request to transfer data from an external location to the computer system is received. The request may originate from a process in a virtual machine or a host operating system. A connection with the external location using parameters identified in the request. The request is performed by transferring the data from the external location to a dedicated virtual machine which does not have access to the file system and cannot persistently store data on the computer system. One or more dedicated virtual machines may be instantiated as needed. A single dedicated virtual machine may accommodate multiple downloads concurrently.

Abstract: A virtual time control apparatus, method, and non-transitory computer readable storage medium thereof are provided. The virtual time control apparatus includes a system timer, a real time clock, and a processing unit, wherein the processing unit is electrically connected to the system timer and the real time clock. The system timer has an original timer period, while the real time clock has an original tick period. The processing unit executes a hypervisor. The hypervisor generates a virtual timer period according to an adjustment ratio and the original timer period. The hypervisor generates a virtual tick period according to the adjustment ratio and the original tick period.

Abstract: Techniques for packaging and deploying algorithms utilizing containers for flexible machine learning are described. In some embodiments, users can create or utilize simple containers adhering to a specification of a machine learning service in a provider network, where the containers include code for how a machine learning model is to be trained and/or executed. The machine learning service can automatically train a model and/or host a model using the containers. The containers can use a wide variety of algorithms and use a variety of types of languages, libraries, data types, etc. Users can thus implement machine learning training and/or hosting with extremely minimal knowledge of how the overall training and/or hosting is actually performed.

Abstract: An example method of tracking memory modified by an assigned device includes allocating, by a hypervisor running a virtual machine, guest memory to a guest running on the virtual machine, where a device is assigned to the virtual machine. The method also includes reading, while the virtual machine is running on the hypervisor, a first input/output (I/O) state that indicates whether the device is currently processing one or more I/O requests, where the first I/O state is writable by the guest. The method further includes determining whether the first I/O state indicates that the device is currently processing one or more I/O requests. The method also includes determining to not transmit a memory page to a destination in response to determining that the first I/O state indicates that the device is currently processing one or more I/O requests. The memory page corresponds to the first I/O state.

Abstract: A type of a request that is currently being processed at a system is determined. A distribution is selected from a set of processing time distributions, the distribution forming a model that is applicable to the type. A threshold point is computed for the model. A processing time that exceeds a threshold point processing time is regarded as exhibiting tail latency. Tail latency includes a delay in processing of the request due to a reason other than a utilization of a resource of the system exceeding a threshold utilization and a size of a queue in the system exceeding a threshold size. An evaluation is made that the request will experience tail latency during processing at the system and the processing of the request at the system is aborted. The request is offloaded for processing at a peer system in a load-balanced group of systems.

Abstract: According to one embodiment, a program executing apparatus includes an event management portion to configure migration timing of the program on the basis of a state of the program being executed at reception of a migration request from the program, and a state transmission portion to migrate state information of the program on the basis of the migration timing configured in the event management portion.

Abstract: A method for handling network I/O device virtualization is provided. The method comprises, translating, by a virtual machine monitor, a guest physical address of a virtual machine to a host physical address in response to an I/O request from at least one virtual machine among a plurality of virtual machines, transmitting, by a virtual machine emulator, an instruction request including the translated address information to an extended device driver associated with the virtual machine from which the I/O request is forwarded, inserting, by the extended device driver, the translated address into a transmission queue, and performing a direct memory access for the I/O request using a physical I/O device according to the transmission queue.

Abstract: Examples described herein may provide cluster check services which may determine whether at least one infrastructure dependent virtual machine (e.g., at least one domain controller and/or at least one DNS server) is located outside of a cluster. In this manner, the storage utilized by at least one of the infrastructure dependent virtual machines may not be part of the cluster itself, which may reduce and/or avoid failure and/or downtime caused by unavailability of the service(s) provided by the infrastructure dependent virtual machine.

Abstract: A volume rehost tool migrates a storage volume from a source virtual server within a distributed storage system to a destination storage server within the distributed storage system. The volume rehost tool can prevent client access to data on the volume through the source virtual server until the volume has been migrated to the destination virtual server. The tool identifies a set of storage objects associated with the volume, removes configuration information for the set of storage objects, and removes a volume record associated with the source virtual server for the volume. The tool can then create a new volume record associated with the destination virtual server, apply the configuration information for the set of storage objects to the destination virtual server, and allow client access to the data on the volume through the destination virtual server.

Abstract: A system and method include determining underprovisioning of a guest physical memory of a virtual machine running on a computing node. The node includes hardware resources that are mapped the guest physical memory by a hypervisor. The hypervisor receives page fault information from the virtual machine based on page faults in the virtual machine. The hypervisor generates a table that includes virtual memory address-process indicator pair entries and corresponding page fault numbers. The hypervisor removes those entries that have a corresponding page fault number that is less than a first threshold value. The hypervisor determines a size of a revolving memory based on the number of remaining entries and a page size of the guest physical memory. If the revolving memory size is less than a second threshold value in relation to the allocated size of the guest physical memory, the hypervisor indicates underprovisioning of the guest physical memory.