A video data obtaining method comprises: deploying at least two simulators, each of the at least two simulators being used to simulate operation of one mobile terminal; sending video access requests to a server respectively by means of the at least two simulators; and respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests. During the respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests, the obtaining method further comprises: intercepting the video data returned by the server according to the corresponding video access requests, and storing the intercepted video data in a set database.

One example technique includes receiving a request for accessing a file from a container process. In response to receiving the request, the technique includes querying a mapping table corresponding to the container process to locate an entry corresponding to a file identifier of the requested file. The entry also includes data identifying a file location on the storage device from which the requested file is accessible. The technique further includes retrieving a copy of the requested file according to the file location identified by the data in the located entry in the mapping table and providing the retrieved copy of the requested file to the container process, thereby allowing the container process to access the requested file.

A computer-implemented method, non-transitory, computer-readable medium, and computer-implemented system are provided for deploying a smart contract in a blockchain network. The computer-implemented method includes: receiving, by a blockchain node in a blockchain network, a transaction for creating a smart contract, wherein the transaction comprises machine codes of the smart contract, and the machine codes of the smart contract are obtained by a compilation service provider performing Ahead of Time (AoT) compilation on bytecodes of the smart contract; determining, by the blockchain node, that the machine codes of the smart contract are obtained by a trusted compilation service provider; and in response to determining that the machine codes of the smart contract are obtained by the trusted compilation service provider, completing, by the blockchain node, a deployment of the smart contract.

Aspects of the embodiments are directed to receiving an address resolution protocol (ARP) request message from a requesting virtual machine, the ARP request message comprising a request for a destination address for a destination virtual machine, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address; augmenting the ARP request message with a network service header (NSH), the NSH identifying an ARP service function; and forwarding the augmented ARP request to the ARP service function.

In some embodiments, the present disclosure provides an exemplary method that may include the steps of providing a computing device associated with a plurality of user; receiving output data transmitted from a target unit; analyzing the output data; transmitting a plurality of interaction commands; transmitting the plurality of interaction commands to an application or operating system; determining a plurality of identifying key words; dynamically determining a configuration screen image based on an identification of the plurality of identifying key words associated with the plurality of graphical user interface displays; automatically selecting a configuration setting associated with the plurality of interactive image elements based on the configurations screen image; and executing a plurality of ameliorative actions associated with the configuration setting.

In some embodiments, the present disclosure provides an exemplary method that may include the steps of providing a computing device associated with a plurality of user; receiving output data transmitted from a target unit; analyzing the output data; transmitting a plurality of interaction commands; transmitting the plurality of interaction commands to an application or operating system; determining a plurality of identifying key words; dynamically determining a configuration screen image based on an identification of the plurality of identifying key words associated with the plurality of graphical user interface displays; automatically selecting a configuration setting associated with the plurality of interactive image elements based on the configurations screen image; and executing a plurality of ameliorative actions associated with the configuration setting.

Techniques for operating a computing system to perform neural network operations are disclosed. In one example, a method comprises receiving a neural network model, determining a sequence of neural network operations based on data dependency in the neural network model, and determining a set of instructions to map the sequence of neural network operations to the processing resources of the neural network processor. The method further comprises determining, based on a set of memory access operations included in the set of instructions, a first set of memory references associated with a first location of an external memory to store the input data and a second set of memory references associated with a second location of the external memory to store the output data, and generating an instruction file including the set of instructions, the first set of memory references and the second set of memory references.

A virtual server includes at least one processor to create a single composited layered image comprising an operating system layer and an application shortcut that includes a representation of an application while not including the application. The single composited layered image is provided as a virtual session to a client computing device. An application layer is mounted to the single composited layered image in response to a user of the client computing device interacting with the application shortcut, with the application layer including the application.

In some aspects, the disclosure is directed to methods and systems for a dynamic, reconfigurable virtual reality environment with in-environment access to external data and resources. Implementations of these systems also provide an external mechanism for modifying other aspects of the virtual reality experience with no need to recode or compile the experience. This can alter the primary flow of the experience, change its behavior based on the specific user accessing it and add branded or customer-specific aspects to the application. The same level or environment can provide drastically different experiences for various users from beginners through experts, even allowing the option of random or ordered events, controllable by an instructor or administrator, through simple configuration.

Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.