Abstract: A trusted execution environment scheduling method for a device comprising a multicore processor, the processor operable to execute a rich execution environment (REE) and a trusted execution environment (TEE), the method comprising: providing a REE global scheduler in the REE, the REE global scheduler operable to schedule threads for execution in the REE; providing a TEE scheduler in the TEE, the TEE scheduler operable to schedule threads for execution in the TEE, wherein the TEE scheduler determines a number of runnable TEE threads which are either presently, or are awaiting, execution in the TEE and stores the number of runnable TEE threads in a location accessible to threads executing in the REE; providing a plurality of worker threads in the REE, the worker threads being in an activated state or in an deactivated state, wherein when an activated worker thread of the plurality of worker threads is executed according to the schedule of the REE global scheduler the worker thread makes a call to the TEE to cau

Abstract: A scheduling method includes calculating required performance for a given task, calculating use performance and real performance of a candidate processor, calculating power corresponding to the real performance, calculating expected energy usage of the candidate processor based on the required performance, the use performance, the real performance, and the calculated power and calculating performance efficiency of the candidate processor by considering a ratio of the expected energy usage to the real performance.

Abstract: A resource scheduling method, to improve resource utilization of a field-programmable gate array (FPGA) device, includes receiving a resource scheduling request from a host, where the resource scheduling request requests to schedule a partial region (PR) on the FPGA device to serve a first virtual device (VD) of the host, the FPGA device includes N PRs, the host includes M VDs, each of the M VDs is configured corresponding to one virtual machine (VM), the first VD is one of the M VDs, and both N and M are integers greater than one, obtaining context content of the first VD based on the resource scheduling request, determining a target PR in the N PRs, and deploying the context content of the first VD in the target PR.

Abstract: Techniques for process discovery and automatic generation of robotic scripts for distributed computing resources are disclosed. In one embodiment, at least one automatable process step associated with an activity performed while interacting with at least one application may be determined. The at least one automatable process step may be segregated into multiple tasks based on parallel executable tasks and sequentially executable tasks. Different types of distributed computing resources may be determined to execute the multiple tasks based on the segregation. A modified process flow corresponding to the at least one automatable process step may be automatically generated based on the segregated multiple tasks and the different types of the distributed computing resources. Further, a robotic script based on the modified flow of the at least one automatable process step may be automatically generated. The robotic script may be executed to perform the activity.

Abstract: An embedded device, a method for executing a virus scan program, and a non-transitory storage medium storing instructions for executing the virus scan program are provided. The embedded device on which the virus scan program for detecting computer virus operates starts a virus scan, displays a first display component for receiving an instruction to pause the virus scan, receives the instruction to pause the virus scan, and pauses the virus scan when the instruction to pause the virus scan is received.

Abstract: Systems, methods, and computer-readable for defining host functionalities in a computing environment include obtaining two or more snapshots comprising information pertaining to two or more processes executing in two or more hosts, the two or more snapshots being obtained at two or more points in time from the two or more hosts. One or more long-running processes amongst the two or more processes are identified based on one or more criteria associated with long-running processes. One or more priorities associated with the one or more long-running processes and used for defining functionalities for at least a subset of the two or more hosts, where high priorities are assigned to long-running processes, such as web server or database server processes, which are unique to at least the subset of the two or more hosts. Resources may be provisioned based on these host functionalities.

Abstract: A system for management of shared hardware and communication resources shared by a plurality of Workload Generators (WGs), the system comprising a processing resource configured to: obtain historical and current information indicative of past and current utilizations of portions of the shared hardware and communication resources by respective WGs of the plurality of WGs, at a plurality of points-in-time, wherein the historical and current information includes WG usage attributes of the respective WGs at the respective points-in-time; determine importance scores for one or more of the WGs, based on the historical and current information of the respective WG; and perform one or more monitoring or management activities associated with one or more of the WGs, based on the importance scores.

Abstract: A system is disclosed. The system includes a resource monitor to monitor a resource utilization of a set of resources of one or more instances, the resource utilization corresponding to a first level of performance and cost and an instance type determiner to, based on the resource utilization, determine if there is an instance type for at least one of the one or more instances, with a resource profile, that will provide a second level of performance and cost that is closer to a default level of performance and cost than the first level of performance and cost. In addition, the system also includes an instance type recommender to, based on the determining, perform one of making and not making a recommendation to replace the instance type of the at least one of the one or more instances.

Abstract: Embodiments of the present invention provide a system for intelligently optimizing the utilization of clusters. The system is configured to continuously gather real-time hardware telemetric data associated with one or more entity systems via a hardware telemetric device, continuously convert the real-time hardware telemetric data into a first color coded representation, receive one or more tasks associated with one or more entity applications, queue the one or more tasks associated with the one or more entity applications, determine hardware requirements associated with the one or more tasks, determine one or more attributes associated with the one or more tasks, convert the hardware requirements and the one or more attributes of the one or more tasks into a second color coded representation, and allocate the one or more tasks to the one or more entity systems based on the first color coded representation and the second color coded representation.

Abstract: Techniques for allocating resources in a system may include: monitoring, using a first proportional-integral-derivative (PID) controller, a size of a pool of free shared resources of a first type; responsive to determining the size of the pool of the free shared resources is at least a minimum threshold, providing the size of the pool of free shared resources as an input to a second PID controller; monitoring, using the second PID controller, a total amount of resources of the first type that are available; determining, using the second PID controller and in accordance with one or more resource policies for one or more applications, a deallocation rate or amount; deallocating, using the second PID controller and in accordance with the deallocation rate or amount, resources of the first type; and allocating a least a first of the deallocated resources for use by one of the applications.

Abstract: Techniques are disclosed for efficient utilization worker threads in a workflow-as-a-service (WFaaS) environment. A client device may request a workflow for execution by the client device. The client device may receive the requested workflow and initialize a set of worker threads to execute the workflow and a set of heartbeater threads to monitor the set of worker threads. Upon receiving an indication of a processing delay, the client device may capture the state of the workflow, suspend execution of the workflow, and store the workflow in a temporary queue. While the processing delay persists, the client device may use the set of worker threads to execute other tasks. When the processing delay terminates, the client device may resume execution of the workflow.

Abstract: The independent claims of this patent signify a concise description of embodiments. A method is provided for parallel simulation using synchronization during simulation. The method comprises executing a plurality of threads in parallel, identifying a first event block and a second event block of a circuit design, calculating a minimum delay (minDelay) based on a current simulation time, scheduled times for execution of the first event block and the second event block, and causal delays (CausalDelay) of the first event block and the second event block, and scheduling a next synchronization point based on the minimum delay, the next synchronization point being a next simulation time at which the plurality of threads synchronize to a common clock. This Abstract is not intended to limit the scope of the claims.

Abstract: Some embodiments provide a novel method for collecting and reporting attributes of data flows associated with machines executing on a plurality of host computers to an analysis appliance. Some embodiments collect, each time a request for a new data message flow is initiated, a set of contextual attributes (i.e., context data) associated with the requested new data message flow. The method, in some embodiments, generates a correlation data set and provides the correlation data set to be included in flow data regarding the requested data message flow to be used by the analysis appliance to correlate context data and flow data received as separate data sets from multiple host computers.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises receiving data associated with an initiation of a process; dynamically determining a sequence of a plurality of sub-processes associated with the received data based the initiated process; dynamically prioritizing the determined sequence of the plurality of sub-processes associated with the received data based on an analysis of eligible variations and a pre-stored database of variations associated with each respective sub-process; dynamically performing the process based the prioritized sequence of the plurality of sub-processes associated with the received data; and transmitting a result of the dynamic prioritization of the determined sequence of a plurality of variations to a user interface of another computing device.

Abstract: A method for orchestrating a provisioning of a computer workload includes determining characteristics of a computing pattern, determining health data of a computing environment based on the characteristics of the computing pattern, determining a confidence score based on the health data, and determining whether to proceed with provisioning the computer workload based on the confidence score.

Abstract: A device configured to receive requirements that identifies hardware operating characteristics and to determine a performance metric based on the requirements. The device is further configured to generate a set of resource cluster configurations that each identify a set of hardware resources and a set of algorithms. The device is further configured to identify a first resource cluster configuration having a first performance value with the highest performance value from among the set of resource cluster configurations. The device is further configured to modify the first resource cluster configuration and to determine a second performance value for the modified resource cluster configuration. The device is further configured to modify the modified resource cluster configuration when the second performance value is less than the first performance value and to output the modified resource cluster configuration when the second performance value is greater than the first performance value.

Abstract: An approach for providing exclusive access to a resource shared by a plurality of processes in a computer system. The approach includes a computer processor retrieving a process identifier for a first process attempting to access the resource, where the process identifier is uniquely assigned to each process of the plurality of processes requiring the resource with the computer system. The approach includes the computer processor using the process identifier for the first process and a mutual exclusion object that includes a lock position allowing exclusive access to the resource and a wait position for a next process to attain the lock position to provide exclusive access to the resource.

Abstract: In general, this disclosure describes techniques for seamlessly migrating containers among or within computing infrastructures so as to preserve the integrity of data, the configurations, and the availability of the attached storage volumes for the containers. For example, a controller having a distributed software architecture may orchestrate, according to container migration workflow, components of the container migration application to accomplish a set of container migration tasks for a container to be moved. The container migration tasks include copying the live container to a target node, recreating the network configuration for the container on the target node, and reattaching any storage volume to the container on the target node. The container is, in this way, seamlessly migrated from a node on which it is currently executing to a different target node, and the controller may issue a command to start executing the container on the target node.

Abstract: An example operation may include one or more of collecting, by a transaction manager node, consensus data from a plurality of peers of a blockchain network, identifying, by the transaction manager node, a conditional consensus for a coordinated transaction based on the consensus data, storing, by the transaction manager node, context data of a coordinated process associated with the coordinated transaction, and updating, by the transaction manager node, the context data in response to a detection of an interim transaction associated with the coordinated process.

Abstract: A processing system identifies a subset of pages of memory allocated to a source guest virtual machine (VM) running at a first graphics processing unit (GPU) that were modified by the source guest VM and transferring only the subset to a destination guest VM running at a second GPU when performing a live migration from the source guest VM to the destination guest VM. The first GPU maintains a page table of system memory addresses or frame buffer addresses allocated to and accessed by the source guest VM during a session, including an indication of whether the data was modified. Based on the page table information, the processing system identifies and transfers only the modified pages from the source guest VM to the destination guest VM, thereby reducing the time and bandwidth used for migration.