Abstract: A virtual machine hosting environment executing on a physical machine is operable to instantiate a virtual machine that is capable of initiating I/O operations directed to a remote storage. The virtual machine hosting environment is operable to determine when an unavailability condition exists with respect to the remote storage and when such unavailability condition no longer exists. The virtual machine hosting environment is further operable to suspend the virtual machine based at least on the determination that the unavailability condition exists and to resume the virtual machine based at least on the determination that the unavailability condition no longer exists. The virtual machine hosting environment may be still further operable to save one or more pending I/O requests generated by the virtual machine in conjunction with pausing the virtual machine and to send the pending I/O request(s) to the remote storage in conjunction with resuming the virtual machine.

Abstract: A method includes disabling, by a hypervisor executed by a processing device of a source host system, host system access of a device associated with a virtual machine, wherein disabling the host system access prevents the virtual machine from directly accessing guest memory via the device and prevents the device from causing an interrupt. The method further includes migrating the guest memory associated with the virtual machine from the source host system to a destination host system. Upon migrating the guest memory associated with the virtual machine from the source host system to the destination host system, initiation of the virtual machine is caused on the destination host system.

Abstract: A method and system determining whether the deployment has been prepared for launch on cloud. The method including receiving, by a server computer, a set of associated image templates to a template repository. The method further including receiving, in the template repository by a processing device of the server computer, a compatible deployable template that is compatible with, and distinct from, the set of associated image templates, wherein the compatible deployable template comprises information for launching the cloud server by starting the plurality of virtual machines from the plurality of virtual machine images together to create a cloud server. The method further including providing the compatible deployable.

Abstract: Embodiments of the present disclosure provide a system for real time provisioning and optimization of a user's resources based on both historical and real time data associated with the user. In particular, the system may comprise a data analytics engine which may continuously analyze user data from various data sources. The aggregated data may be processed through a predictive engine which may use artificial intelligence and/or machine learning to predict a user's actions within the system. Based on the prediction, the system may provide an optimized allocation of resources with respect to the predicted actions of the user.

Abstract: A method of providing a computing infrastructure based on virtual machines. An update is received from a software supplier, the update including one or more patches that at least one of correct bugs, correct security vulnerabilities, or introduce at least one new functionality for virtual machines using software of the software supplier for which the update affects and is applicable. It is determined, using a processor on a computer, whether a virtual machine image, stored in a library and used as a template for instantiating virtual machines and affected by the received update, should be updated immediately in accordance with the received update. The virtual machine image is updated if it is determined that such immediate update should be implemented.

Abstract: A system and method can include requesting, by a network agent in a virtual machine in a hypervisor-attached infrastructure, a first identifier of a first resource device. The method can include comparing the first identifier to a plurality of known identifiers. The method can include determining a first location of the first resource device in response to matching the first identifier to one of the plurality of known identifiers. The method can include requesting a second identifier of a second resource device. The method can include determining a second location of the second resource device in response to the second identifier being different from each of the plurality of known identifiers. The second location can be different than the first location.

Abstract: Techniques are described for priming virtual machines in advance of the user login, thereby effectively distributing the load on the hosting resources over a wider time interval. A portion of VMs in the pool is allocated for priming. This process is initiated from an advisory service, which can analyze data from different sources, including usage history, rules, and location services. A VM is assigned from the pool and started. One or more application storage volumes and/or writable volumes are attached to the VM. A reclaim timer is then started. If no login event is detected for the user prior to the expiration of the reclaim timer, the VM is reclaimed back in to the pool and made available for other users. If the login event for the user is detected before expiration of the reclaim timer, the user returned the primed VM and the reclaim timer is canceled.

Abstract: In accordance with embodiments of the present disclosure, an information handling system may include a host system comprising a host system processor and a device coupled to the host system processor, and may also comprise a management controller communicatively coupled to the host system processor and configured to provide management of the information handling system and provide a plurality of management interfaces wherein each management interface has configurable properties and the management interfaces are capable of simultaneous usage.

Abstract: A method, computer program product, and computing system for establishing a connection between a virtualization device and a virtual machine infrastructure. The virtualization device may be configured to be communicatively coupled to one or more PCIe devices. A virtual machine may be executed on the virtual machine infrastructure. Control of the virtualization device may be passed through the virtual machine infrastructure to the virtual machine.

Abstract: One or more robots may be invoked from one or more applications for robotic process automation (RPA). A process for invoking a robot from an application may include launching the application from a computing system to invoke a robot link embedded within the application. The process may also include initiating from the application a port discovery process to identify a port, port details, and a token. The process may further include generating by the application a randomized code and invoking a consent application requesting approval from a user of the computing system to invoke the robot from the application. The process may also include registering the randomized code with a local listener module and passing user information and the token to a global listener module. The process may further include receiving from the global listener module the token and port identification, allowing the application to authenticate itself with, and communicate with, the robot, thereby completing the robot invoking process.

Abstract: Techniques for resource allocation are described. Some embodiments provide a resource allocation manager configured to dynamically allocate physical computing resources amongst multiple virtual machines hosted on a physical computing system. The resource allocation manager receives information about the importance of activities that can occur on the multiple virtual machines. Activities may include or be based on virtual machine states, virtual desktop states, business activities or processes performed by users, or the like. Then, the resource allocation manager determines that an activity is occurring on one of the virtual machines. In response, the resource allocation manager reallocates physical computing resources of the physical computing system that are assigned or available to the one virtual machine, based on the occurring activity and its corresponding importance.

Abstract: Systems and methods are provided for fail-safe loading of information on a user interface, comprising receiving, via a modular platform, requests for access to a mobile application platform from a plurality of mobile devices, opening and directing the requests for access to the mobile application platform to a sequential processor of an application programming interface (API) gateway when a parallel processor of the API gateway is unresponsive to requests for access to the mobile application platform for a predetermined period of time, periodically checking a status of the parallel processor, and redirecting the requests for access to the mobile application platform to the parallel processor when the parallel processor is capable of processing requests for access to the mobile application platform.

Abstract: Systems and methods for scheduling job requests in a virtualization system. A method embodiment commences upon initialization of a pair of multi-level queues comprising a high priority job queue and a low priority job queue. A plurality of virtual machines issue job requests. Queue management logic receives incoming job requests from the virtual machines and locates or creates a job request group corresponding to the virtual machine of the incoming job request. The incoming job request is positioned into the job request group and the job request group is positioned into a queue. When a job executor is ready for a next job, then a job for execution can be identified by locating a next job in a next job request group that is at the front of either the high priority queue or at the front of the low priority queue. When a job finishes, the queues are reorganized.

Abstract: An apparatus determines a similarity of names of a plurality of virtual machines, and divides the plurality of virtual machines into clusters based on a result of the determination such that virtual machines having a value that represents the similarity of the names that is equal to or less than a given threshold are included in a first cluster and virtual machines having a value that represents the similarity of the names that is greater than the given threshold are included in a second cluster. The apparatus places virtual machines included in the first cluster on different host machines.

Abstract: A method that involves receiving budget information of a containerized application deployed with a set of containers to a set of machine instances; receiving pricing information of a list of machine instance types; receiving performance information of the set of containers; receiving an alert generated based on the performance information by comparing the performance information to a set of thresholds; generating, after receiving the alert, an output vector from a machine learning model, wherein the machine learning model uses the performance information; and adjusting a resource of the set of containers by updating a parameter based on the output vector in response to the alert, wherein the resource is controlled by the parameter, and wherein the parameter is identified in the alert.

Abstract: A method for a sender side assisted flow classification is disclosed. In an embodiment, a method comprises detecting a packet by a network virtualization layer engine implemented in a hypervisor on a sender side of a virtualization computer system; and determining, by the network virtualization layer engine, whether the packet requires special processing. In response to determining that the packet requires special processing, a special processing flag is inserted in a certain field of an outer header of the packet; and the packet is forwarded toward a destination of the packet for a PNIC on a receiver side to process the packet.

Abstract: An on-demand disposable virtual work system that includes: a virtual machine monitor to host virtual machines, a virtual machine pool manager, a host operating system, a host program permissions list, and a request handler module. The virtual machine pool manager manages virtual machine resources. The host operating system interfaces with a user and virtual machines created with an image of a reference operating system. The host program permissions list may be a black list and/or a white list used to indicate allowable programs. The request handler module allows execution of the program if the program is allowable. If the program is not allowable, the host request handler module: denies program execution and urges a virtual machine specified by the virtual machine pool manager to execute the program. The virtual machine is terminated when the program closes.

Abstract: Methods, systems, and devices of using prediction-guided resource allocation technologies for software applications are disclosed, comprising generating a plurality of program features that impact execution time of a plurality of program tasks; predicting execution time of the plurality of program tasks on one or more computing cores using the plurality of program features, wherein each of the plurality of program features is mapped to an execution time estimate on a selected computing core; and con trolling resources for the one or more computing cores based on a predicted execution time of the plurality of program tasks.

Abstract: A method is disclosed comprising: detecting an event that is generated within a storage system; identifying a plurality of barrier objects that are associated with the event, each of the plurality of barrier objects being associated with a different respective set function, each of the plurality of barrier objects being associated with a different respective wait function, and each of the plurality of barrier objects being associated with a different respective release function; calling the respective set function of each of the barrier objects; calling the respective wait function of each of the barrier objects, wherein at least one of the respective wait functions is called before another one of the respective wait functions has returned; reconfiguring the storage system after all of the respective wait functions have returned; and calling the respective release function of each of the barrier objects.

Abstract: A transaction analysis system includes a computer-executable tool for obtaining first and second measured elapsed times to complete a transaction on at least one of the resources of an integrated computing system at first and second loading levels, respectively. The tool then generates, using a curve fitting algorithm, a function according to the first and second measured elapsed times to complete the transaction at the first and second loading level. The resulting function indicates an expected level of performance of the transaction at varying degrees of loading levels.