Abstract: A method of preparing biodegradable Zn—Mg—Bi zinc alloy includes: melting magnesium under an inert atmosphere to obtain a magnesium melt; adding bismuth particles to the magnesium melt followed by reaction under stirring and heat preservation treatment to obtain a Mg—Bi alloy melt; allowing the Mg—Bi alloy melt to stand in a furnace; subjecting the Mg—Bi alloy melt to refining, slagging-off, casting and demoulding to obtain Mg-50 wt. % Bi alloy ingot; melting zinc to obtain a zinc melt; adding the Mg-50 wt. % Bi alloy ingot and pure magnesium or pure bismuth followed by heating to a preset temperature, stirring and heat preservation to obtain a Zn—Mg—Bi alloy melt; allowing the Zn—Mg—Bi alloy melt to stand in a furnace followed by refining, slagging-off, casting and demoulding to obtain the biodegradable Zn—Mg—Bi zinc alloy.

Abstract: Mechanisms of cloning containers to spawn offspring, orchestrate new containers on different execution environments, and enabling intra-container communication while maintaining parent-child relationships are disclosed.

Abstract: A method of preparing biodegradable Zn—Mg—Bi zinc alloy includes: melting magnesium under an inert atmosphere to obtain a magnesium melt; adding bismuth particles to the magnesium melt followed by reaction under stirring and heat preservation treatment to obtain a Mg—Bi alloy melt; allowing the Mg—Bi alloy melt to stand in a furnace; subjecting the Mg—Bi alloy melt to refining, slagging-off, casting and demoulding to obtain Mg-50 wt. % Bi alloy ingot; melting zinc to obtain a zinc melt; adding the Mg-50 wt. % Bi alloy ingot and pure magnesium or pure bismuth followed by heating to a preset temperature, stirring and heat preservation to obtain a Zn—Mg—Bi alloy melt; allowing the Zn—Mg—Bi alloy melt to stand in a furnace followed by refining, slagging-off, casting and demoulding to obtain the biodegradable Zn—Mg—Bi zinc alloy.

Abstract: A device for preparing ultra-high purity zinc based on intelligently-controlled zone melting, including a slide platform connected with a screw through a servo control system to control movement of a heating-cooling device. A quartz tube is provided inside an induction heater to protect a melting zone. An infrared thermometer is connected to the heater, and configured to monitor temperature within the melting zone, and control power of the heater. A ring magnetic stirrer with non-contact circumferential rotation cooperates with coil to stir zinc melt. A water-cooling copper jacket is connected to two ends of the heater to cool a zinc bar, and its water inlet and outlet are connected with a water chiller. The infrared thermometer monitors temperature of the zinc bar and controls water flow of the cooling system. A lifting device is connected with a base cabinet to change inclined angle of the zinc bar.

Abstract: One example method includes performing dynamic access control in a computing network. A computing environment is configured such that an application can access a service without specifying secrets. The secrets needed to access the service are obtained and stored in a credential store. The secrets can be obtained using the service mesh in a manner that isolates the application from the secrets.

Abstract: One example method includes connecting to a server component, transmitting, to the server component, information concerning a hardware configuration associated with an asset having a capability that is fully utilized during a first time period and the capability is idle during a second time period, receiving, from the server component, cluster connection information, and using the cluster connection information to temporarily connect the asset to the cluster as a node of the cluster so that the capability is available during idle time to perform a workload of the cluster.

Abstract: A device for preparing ultra-high purity zinc based on intelligently-controlled zone melting, including a slide platform connected with a screw through a servo control system to control movement of a heating-cooling device. A quartz tube is provided inside an induction heater to protect a melting zone. An infrared thermometer is connected to the heater, and configured to monitor temperature within the melting zone, and control power of the heater. A ring magnetic stirrer with non-contact circumferential rotation cooperates with coil to stir zinc melt. A water-cooling copper jacket is connected to two ends of the heater to cool a zinc bar, and its water inlet and outlet are connected with a water chiller. The infrared thermometer monitors temperature of the zinc bar and controls water flow of the cooling system. A lifting device is connected with a base cabinet to change inclined angle of the zinc bar.

Abstract: A high-thermal conductivity composite material is AlNp/ZA27 composite material, including 2%, 4%, 6%, or 8% by volume of aluminum nitride (AlN) ceramic particles and zinc-aluminium-27 (ZA27) alloy. The ZA27 alloy includes 70.52-71.08% by weight of Zn, 25.58˜27.65% by weight of Al, 1.27˜3.45% by weight of Cu, and 0.50% or less by weight of Mg. In the preparation of the high-thermal conductivity composite material, an as-cast AlNp/ZA27 composite material is subjected to homogenizing annealing and reciprocating extrusion.

Abstract: One example method includes evaluating a function invoked by a request that is received at a local classical computing execution environment, and the request also implies performance of a quantum computing function in a quantum computing execution environment, based on an outcome of the evaluating, determining whether or not the function should be run in the local classical computing execution environment, or whether the function should be run in a separate classical computing execution environment, and when the determining indicates that the function should be run in the separate classical computing execution environment, forwarding the request to the separate classical computing environment for execution of the function. The local classical computing execution environment, the separate classical computing execution environment, and the quantum computing execution environment, are respective first, second, and third, tiers of a hybrid computing execution environment.

Abstract: One example method includes transmitting a request for a container image to a registry, receiving metadata associated with the container image, wherein the metadata allows a controller to mount an empty filesystem on a host machine, starting a container from the container image without receiving all files associated with the container image, receiving files, from a container server, needed by the container based on an access sequence associated with the container. This allows a container to be started without downloading the entire container image and also conversed bandwidth by providing the files as needed based on the manner in which the container accesses files during execution.

Abstract: Techniques for function execution environment selection for a decomposed application are provided. In one example, an apparatus comprises at least one processing platform configured to execute a portion of an application program in a first virtual computing element, wherein the application program comprises one or more portions of marked code, receive a request for execution of one of the one or more portions of marked code, decide whether to execute the portion of marked code identified in the request in the first virtual computing element or in a second virtual computing element, determine an execution environment from one or more execution environments specified in the marked code for the second virtual computing element to execute the marked code, when it is decided to execute the portion of the marked code in the second virtual computing element, and cause the portion of marked code identified in the request to be executed.

Abstract: An apparatus comprises a processing device configured to identify one or more dependent services for a workload deployed in a first computing cluster of a multi-cluster computing environment and to select, utilizing a global service catalog aggregating service information for sets of available services offered by at least two computing clusters of the multi-cluster computing environment, a second computing cluster of the multi-cluster computing environment to utilize for provisioning at least a given one of the one or more dependent services for the workload. The processing device is further configured to provision the given dependent service on a multi-cluster service mesh associated with the multi-cluster computing environment by configuring the multi-cluster service mesh to permit access by the workload on the first computing cluster of the multi-cluster computing environment to the given dependent service on the second computing cluster of the multi-cluster computing environment.

Abstract: An apparatus comprises a first processing device, the first processing device comprising a physical hardware controller configured for coupling with a second processing device. The first processing device is configured to receive, from a host operating system of the second processing device, a discovery request, and to identify one or more emulation modules running on the first processing device that emulate physical hardware devices. The first processing device is also configured to provide, to the host operating system of the second processing device, a response to the discovery request indicating a set of capabilities associated with the emulated physical hardware devices. The first processing device is further configured to provision services to the second processing device by performing processing of the services utilizing hardware resources of the physical hardware controller and providing processing results to the second processing device via the emulated physical hardware devices.

Abstract: An apparatus comprises a first processing device, the first processing device comprising a physical hardware controller configured for coupling with a second processing device. The first processing device is configured to identify remote storage service instances attached to the second processing device, and to initiate storage emulation modules for the remote storage service instances attached to the second processing device, the storage emulation modules emulating physical storage devices configured for attachment to the second processing device.

Abstract: A method includes identifying a first event that has been at least partly performed, wherein the first event comprises an element of a sequence of events, and the first event comprises performance of a first computing function, predicting a second event expected to occur next in the sequence after completion of the first event, and the second event comprises performance of a second computing function, predicting a start time of the second event, based on information about the second event, identifying a particular container capable of implementing the second computing function associated with the second event, predicting a start time for start-up of the container, starting up the container, and completing start-up of the container prior to receipt of a request for the second computing function to be performed by the container, wherein the container is ready to perform the second computing function immediately after start-up has been completed.

Abstract: A resource usage platform is disclosed. The platform performs preemptive container load balancing, auto scaling, and placement in a computing system. Resource usage data is collected from containers and used to train a model that generates inferences regarding resource usage. The resource usage operations are performed based on the inferences and on environment data such as available resources, service needs, and hardware requirements.

Abstract: One example method includes receiving, from a microservice, a service request that identifies a service needed by the microservice, and an API of an endpoint that provides the service, evaluating the service request to determine whether the service request conforms to a policy, when the service request has been determined to conform with the policy, evaluating the endpoint to determine if endpoint performance meets established guidelines, and when it is determined that the endpoint performance does not meet the established guidelines, identifying an alternative endpoint that meets the established guidelines and that provides the requested service. Next, the method includes transforming the API of the service identified in the service request to an alternative API of the service provided by the alternative endpoint, and sending the service request and the alternative API to the alternative endpoint.

Abstract: One example method includes performing dynamic access control in a computing network. A computing environment is configured such that an application can access a service without specifying secrets. The secrets needed to access the service are obtained and stored in a credential store. The secrets can be obtained using the service mesh in a manner that isolates the application from the secrets.

Abstract: One example method includes connecting to a server component, transmitting, to the server component, information concerning a hardware configuration associated with an asset having a capability that is fully utilized during a first time period and the capability is idle during a second time period, receiving, from the server component, cluster connection information, and using the cluster connection information to temporarily connect the asset to the cluster as a node of the cluster so that the capability is available during idle time to perform a workload of the cluster.

Abstract: A biodegradable Zn—Mg—Bi zinc alloy and a preparation method thereof. The method including: melting magnesium under an inert atmosphere to obtain a magnesium melt; adding bismuth particles to the magnesium melt followed by reaction under stirring and heat preservation treatment to obtain a Mg—Bi alloy melt; allowing the Mg—Bi alloy melt to stand in a furnace; subjecting the Mg—Bi alloy melt to refining, slagging-off, casting and demoulding to obtain Mg-50 wt. % Bi alloy ingot; melting zinc to obtain a zinc melt; adding the Mg-50 wt. % Bi alloy ingot and pure magnesium or pure bismuth followed by heating to a preset temperature, stirring and heat preservation to obtain a Zn—Mg—Bi alloy melt; allowing the Zn—Mg—Bi alloy melt to stand in a furnace followed by refining, slagging-off, casting and demoulding to obtain the biodegradable Zn—Mg—Bi zinc alloy.