32622results about "Software simulation/interpretation/emulation" patented technology

Automatic configuration management of a network is provided by determining an inventory of resources at a virtualization layer of a node of the network, assigning prioritization to members of a set of network configuration elements, allocating virtual resources among the set of network configuration elements, establishing a network configuration. The configuration is managed by determining real time performance metrics for the configuration, producing a reallocation of the virtual resources based on the performance metrics that are estimated to change the established configuration, change the performance metrics, and initiating the reallocation of the virtual resources. This Abstract is provided for the sole purpose of complying with the Abstract requirement that allows a reader to quickly ascertain the subject matter of the disclosure contained herein. This Abstract is submitted with the understanding that it will not be used to interpret or to limit the scope or the meaning of the claims.

A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware maps, applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conveys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.

The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

Virtual machines of a virtual data center generate runtime instances with a software image, hardware configuration, management configuration and user/service configuration. Virtual data center resource use is monitored by reference to the management configuration of runtime instances, such as for environmental controls like power, cooling and balancing, or for policy limitations on users, software or hardware. Users or services generate runtime instances of stored virtual machines by reference to the user/service configuration, such as pricing or priority. In one example embodiment, the virtual machine software image comprises an application system preparation file that populates a read only application image common to plural virtual machines. Information unique to each virtual machine with respect to the application is maintained in the user/service configuration of the virtual machine and version information is maintained in the management configuration of the virtual machine. Updates to the application across each virtual machine are performed by updating the read only image or any of its configuration information for hardware configuration, management configuration or user/service configuration.

A cluster comprises a plurality of computer systems, wherein each of the plurality of computer systems is configured to execute one or more virtual machines. Each of the plurality of computer systems comprises hardware and a plurality of instructions. The plurality of instructions, when executed on the hardware, migrates at least a first virtual machine executing on a first computer system of the plurality of computer systems to a second computer system of the plurality of computer systems. The plurality of instructions migrates the first virtual machine responsive to a first load of the first computer system prior to the migration exceeding a second load of the second computer system prior to the migration.

Techniques described herein enable virtualizing a processor into one or more virtual machines and suspending an operating system of one of the virtual machines from outside of the operating system environment. Once suspended, these techniques capture a snapshot of the virtual machine to determine a presence of malware. This snapshot may also be used to determine whether an unauthorized change has occurred within contents of the virtual machine. Remedial action may occur responsive to determining a presence of malware or an unauthorized change.

A suspicious activity capture system can comprise a tap configured to copy network data from a communication network, and a controller coupled to the tap. The controller is coupled to the tap and is configured to receive the copy of the network data from the tap, analyze the copy of the network data with a heuristic to flag the network data as suspicious, and simulate transmission of the network data to a destination device.

Methods, systems, and computer programs for creating isolated environments that include virtual machines (VM) and networks in a virtual infrastructure are presented. The method includes an operation to define a configuration of a virtual system which includes VMs, virtual network interface cards (VNIC) in the VMs, and configuration local networks (CLN). Further, the method associates each VNIC with one of the CLNs and transmits instructions to the virtual infrastructure for deploying the configuration. Deploying the configuration includes instantiating VMs and CLNs in the virtual infrastructure. Each VM is instantiated in a host monitored by a virtual lab server, and the CLNs are instantiated in the same hosts where the VMs have been instantiated. Only VMs from the configuration can connect to the instantiated CLNs. The method further transmits instructions to the virtual infrastructure to customize the VMs by executing the customization instructions in the guest operating systems of the VMs to configure the VMs' VNICs.

The system and method for controlling cloud and virtualized data centers described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, and further to creating cloud images having embedded management agents and identity services for validating the cloud images prior to deployment into the cloud and virtualized data centers and controlling, monitoring, and auditing activity associated with the cloud images following deployment into the cloud and virtualized data centers.

A virtual machine management/monitoring service can be configured to automatically monitor and implement user-defined (e.g., administrator-defined) configuration policies with respect to virtual machine and application resource utilization. In one implementation, the monitoring service can be extended to provide user-customized alerts based on various particularly defined events that occur (e.g., some memory or processing threshold) during operation of the virtual machines and/or application execution. The user can also specify particularly tailored solutions, which can include automatically reallocating physical host resources without additional user input on a given physical host, or moving/adding virtual machines on other physical hosts. For example, the monitoring service can be configured so that, upon identifying that a virtual machine's memory and processing resources are maxed out and/or growing, the monitoring service adds memory or processing resources for the virtual machine, or adds a new virtual machine to handle the load for the application program.

The system and method described herein for discovery enrichment in an intelligent workload management system may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads. In particular, the management threads may converge information for managing identities and access credentials, which may provide information that can enrich discovery of physical and virtual infrastructure resources. For example, a discovery engine may reference federated identity information stored in an identity vault and enrich a discovered infrastructure model with the federated identity information. Thus, the model may generally include information describing physical and virtualized resources in the infrastructure, applications and services running in the infrastructure, and information derived from the federated identity information that describes dependencies between the physical resources, the virtualized resources, the applications, and the services.

The system and method for intelligent workload management described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, wherein the management threads may converge information for managing identities and access credentials, enforcing policies, providing compliance assurances, managing provisioned and requested services, and managing physical and virtual infrastructure resources. In one implementation, an authentication server may generate authentication tokens defining access credentials for managed entities across a plurality of authentication domains, wherein the authentication tokens may control access to resources in an information technology infrastructure. For example, a management infrastructure may create service distributions for the managed entities, which may include virtual machine images hosted on physical resources. Further, the authentication tokens may be embedded in the service distributions, whereby the embedded authentication tokens may control access to the resources in the information technology infrastructure.

Backup systems and methods are disclosed for a virtual computing environment. Certain examples include a system having a backup management server that communicates with a host server having at least one virtual machine. The management server coordinates with the host server to perform backup copies of entire virtual machine disks from outside the guest operating system of the virtual machine. In certain examples, such backup systems further utilize a volume shadow copy service executing on the host server to quiesce virtual machine applications to put data in a consistent state to be backed up. The backup system then utilizes hypervisor snapshot capabilities of the host server to record intended changes to the virtual machine disk files while such files are being copied (e.g., backed up) by the host server. Such recorded changes can be later committed to the virtual machine disk files once the backup operation has completed.

An automated processor design tool uses a description of customized processor instruction set extensions in a standardized language to develop a configurable definition of a target instruction set, a Hardware Description Language description of circuitry necessary to implement the instruction set, and development tools such as a compiler, assembler, debugger and simulator which can be used to develop applications for the processor and to verify it. Implementation of the processor circuitry can be optimized for various criteria such as area, power consumption, speed and the like. Once a processor configuration is developed, it can be tested and inputs to the system modified to iteratively optimize the processor implementation. By providing a constrained domain of extensions and optimizations, the process can be automated to a high degree, thereby facilitating fast and reliable development.

A method for providing load balancing and failover among a set of computing nodes running a network accessible computer service includes providing a computer service that is hosted at one or more servers comprised in a set of computing nodes and is accessible to clients via a first network. Providing a second network including a plurality of traffic processing nodes and load balancing means. The load balancing means is configured to provide load balancing among the set of computing nodes running the computer service. Providing means for redirecting network traffic comprising client requests to access the computer service from the first network to the second network. Providing means for selecting a traffic processing node of the second network for receiving the redirected network traffic comprising the client requests to access the computer service and redirecting the network traffic to the traffic processing node via the means for redirecting network traffic. For every client request for access to the computer service, determining an optimal computing node among the set of computing nodes running the computer service by the traffic processing node via the load balancing means, and then routing the client request to the optimal computing node by the traffic processing node via the second network.

To detect a computer virus in a host file (100), an emulating module (414) emulates the host file (100) in a virtual machine (422) having a virtual memory (426). While emulating the host file (100), the system (400) tracks the host file's access of the virtual memory (426). Responsive to an access in a non-normal address range of the virtual memory (426) by the host file (100), a flag recording module (522) sets a flag. A virus reporting module (526) declares a potential virus based on whether the flag is set.

Certain embodiments enable resources assigned or allocated to an operating virtual machine (VM) to be modified while the VM is operating and without having to stop, restart, or reboot the VM. The modification may correspond to increasing or decreasing the amount of a resource being assigned to the VM. In this manner, resources assigned to a VM at the time of creation of the VM are not static and can instead be dynamically changed while the VM is operating without having to stop, reboot, or restart the VM. In some embodiments, the changes to the resources allocated to one or more VMs provided for a user (e.g., a customer) may be made according to or in response to a Service Level Agreement (SLA) entered into by the user, in response to an event such as a failover or switchover event, and the like.

To determine whether to deploy a candidate VM to a candidate host, taking into consideration resources available from the candidate host and resources required by the candidate VM, a sub-rating is calculated for each of several resources available from the candidate host, where the sub-rating for the resource corresponds to an amount of the resource that is free after the candidate VM is deployed to the candidate host. Thereafter, a rating is calculated from the calculated sub-ratings to characterize how well the candidate host can accommodate the candidate VM. The rating for the candidate host are presented to a selector that determines whether to deploy the candidate VM to the candidate host based on the rating thereof.

In one embodiment, a method comprises executing a plurality of virtual machines on a plurality of nodes of a cluster computing system, wherein at least one application is executed within each of the plurality of virtual machines, generating data that is related to performance of applications in the virtual machines, analyzing, by a management process, the data in view of parameters that encode desired performance levels of applications, and migrating, by the management process, a virtual machine on a first node to a second node of the plurality of nodes in response to the analyzing.