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: 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: 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 system and method for detecting and fixing robotic process automation failures, including collecting tasks from at least one client computerized device, processing the tasks via robotic process automation, collecting tasks that failed to complete per task type, recording successful execution steps per each of the failed tasks, evaluating the recorded successful execution steps with respect to the failed task types, and providing selected execution steps that best fix the failed tasks, thereby fixing the robotic process automation failures.

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: Embodiments for implementing partial synchronization between compute processes based on threshold specification in a computing environment. One or more compute processes may be synchronized in one of a plurality of types of computing platforms using a barrier having a barrier release condition based on a threshold of one or more measures. The barrier is defined according to one or more parameters. The one or more compute processes may be released via the barrier upon exceeding the threshold of the one or more measures.

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: An instruction to generate a cloud instantiation of a secondary storage system is provided. One or more secondary storage clusters are virtually rebuilt in the cloud instantiation of the secondary storage system. A new cloud instance of a user virtual machine is deployed based on at least a portion of data stored in the one or more rebuilt secondary storage clusters of the cloud instantiation of the secondary storage system. A version of at least the portion of the data of the one or more rebuilt secondary storage clusters is provided to a cloud deployment server.

Abstract: A system and method for dynamically determining parameters of crafting activities for individual users in a virtual space are disclosed. The crafting activity parameters may be determined based on rate of usage of the virtual space by the users. In some examples, a user usage rate of the virtual space may be determined to measure an amount of time a user spend in the virtual space during a period of real-world time. Based on the determined user usage rate of the virtual space, crafting activity parameters may be determined, for example, to balance differences in time spent in the virtual space by the users. In some implementations, for such determinations of the crafting activity parameters, one or more user normalization standards may be obtained.

Abstract: A cloud computer system is provided that includes a plurality of computer devices and a database. The plurality of computer devices execute a plurality of virtual machines, with one of the virtual machines serving as a controller node and the remainder serving as worker instances. The controller node is programmed to accept a request to initiate a distributed process that includes a plurality of data jobs, determine a number of worker instances to create across the plurality of computer devices, and cause the number of worker instances to be created on the plurality of computer devices. The worker instances are programmed to create a unique message queue for the corresponding worker instance, and store a reference for the unique message queue that was created for the corresponding worker to the database. The controller node retrieves the reference to the unique message queues and posts jobs to the message queues for execution by the worker instances.

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: Generating secondary virtual machine seed image storage is provided. An input is received to deploy a primary virtual machine and a secondary virtual machine based on a golden virtual machine image. In response, the primary virtual machine from the golden virtual machine image on a primary data processing site and the secondary virtual machine from the golden virtual machine image on a secondary data processing site are deployed. Execution of the secondary virtual machine is suspended on the secondary data processing site. Using the golden virtual machine image, a seed image corresponding to the secondary virtual machine is generated that is up-to-date at that point in time in storage at the secondary data processing site to form the secondary virtual machine seed image storage. The secondary virtual machine seed image storage is enabled to receive state data updates from the primary virtual machine on the primary data processing site.

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: Scalable task scheduling systems and methods for cyclic interdependent tasks using semantic analysis include, for a software application including a plurality of tasks which are cyclic interdependent tasks, segmenting the plurality of tasks into a task graph with vertices including the plurality of tasks and edges including interdependencies between the plurality of tasks; processing the task graph into a dependency graph which is a Directed Acyclic Graph (DAG); and causing execution of the plurality of tasks in a parallel manner based on the dependency graph.

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: Technologies are disclosed for automatic troubleshooting of virtual machine (VM) instances in a service provider network. A health checker service determines that a VM instance is in a non-responsive state. At least one screenshot image generated by the VM instance is obtained from a screenshot service. The at least one screenshot image is evaluated with respect to at least one reference screenshot image of a plurality of reference screenshot images by a recognition service. The at least one screenshot image is matched with a reference screenshot image of the plurality of reference screenshot images by the recognition service to provide a type of the at least one screenshot image. At least one responsive action is performed by the health checker service based at least in part upon the type of the at least one screenshot image.

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: Pooled virtual machine load balancers are described. A system determines whether a number of virtual machine load balancers that are in a pool is less than a specified number. The system creates a calculated number of virtual machine load balancers for the pool if the number of virtual machine load balancers that are in the pool is less than the specified number, the calculated number being equal to the specified number minus the number of virtual machine load balancers that are in the pool. The system receives a request to create a virtual machine environment that requires at least one virtual machine load balancer. The system allocates a virtual machine load balancer from the pool to the virtual machine environment.