The disclosure relates to processing a multimedia resource, including acquiring resource presentation data determined based on a resource style type of a resource to be processed and account information of a third user account. The resource presentation data includes presentation data of the joint virtual space including the first user account for activating the joint virtual space and the second user account participating in the joint virtual space. Based on anchor information corresponding to the second user account that meets the preset association condition with the third user account from the resource presentation data, the target resource presentation data bound with the joint virtual space is determined.

A scheduler manages execution of a plurality of data-collection jobs, assigns individual jobs to specific forwarders in a set of forwarders, and generates and transmits tokens (e.g., pairs of data—collection tasks and target sources) to assigned forwarders. The forwarder uses the tokens, along with stored information applicable across jobs, to collect data from the target source and forward it onto an indexer for processing. For example, the indexer can then break a data stream into discrete events, extract a timestamp from each event and index (e.g., store) the event based on the timestamp. The scheduler can monitor forwarders' job performance, such that it can use the performance to influence subsequent job assignments. Thus, data-collection jobs can be efficiently assigned to and executed by a group of forwarders, where the group can potentially be diverse and dynamic in size.

In an example, a computer implemented method may include receiving a request including a set of workload descriptors. Further, the method may include parsing the set of workload descriptors to determine a set of pods and a set of constraints associated with the set of pods and determining a relationship between the set of pods based on the set of constraints. Furthermore, the method may include categorizing the set of pods into a set of resource clusters based on the determined relationship and determining a cloud infrastructure to deploy the set of resource clusters based on an optimization parameter. Upon determining the cloud infrastructure, the determined cloud infrastructure may be recommended to deploy the set of resource clusters.

Systems and methods may use models to generate predictions of specific access rights for users. Further, systems and methods may generate the predictions in an environment in which the availability of the specific access rights change frequently. The access rights, predicted using embodiments described herein, may be both available and associated with user affinities. An interface associated with the primary load management system may be configured to display the predicted access rights for a user operating a user device.

This application provides an application program management method and apparatus. The method is performed in a database cluster system including at least two database nodes, at least one database object is stored in each database node, and the method includes: running an application program on a first database node in a first time period; determining a target database node based on at least one historical database object accessed by the application program in the first time period, where the target database node stores the historical database object; and running the application program on the target database node in a second time period. According to this application, a database node on which an application program runs can be dynamically adjusted, to avoid overload of the database node.

One example method to perform object-based load balancing in a distributed storage system of a virtualization system supported by a cluster of host machines may include determining, by a first host machine in the cluster, whether any host machine in the cluster has affinity to a site. The method may also include determining, by the first host machine, whether to distribute affinity Internet small computer system interface (iSCSI) targets owned by the first host machine to at least the second machine based on a first balance objective associated with the site, and after having considered the first balance objective, determining, by the first host machine, whether to distribute iSCSI targets without affinity owned by the first host machine to other host machines in the cluster based on a second balance objective associated with the cluster.

A workload execution manager receives a request to execute a workload process in a cloud computing environment, where the cloud computing environment comprises a plurality of nodes; identifies a set of eligible nodes of the plurality of nodes for executing the workload process; determines whether a first eligible node of the set of eligible nodes satisfies a version threshold; responsive to determining that the first eligible node satisfies the version threshold, selects the first eligible node as a target node for executing the workload process; and executes the workload process on the target node.

A method implemented by a network element (NE) in a mobile edge cloud (MEC) network, comprising receiving, by the NE, an offloading request message from a client, the offloading request message comprising task-related data describing a task associated with an application executable at the client, determining, by the NE, whether to offload the task to an edge cloud server of a plurality of edge cloud servers distributed within the MEC network based on the task-related data and server data associated with each of the plurality of edge cloud servers, transmitting, by the NE, a response message to the client based on whether the task is offloaded to the edge cloud server.

A computer-implemented resource allocation method is provided, which comprises, in a computing environment comprising a resource management unit and a cluster comprising a cluster management node and a cluster node running an application program: receiving, by the resource management unit, a request for allocating one or more system resources to the application program; retrieving, by the resource management unit, from the cluster management node, an identifier of the cluster node running the application program; dynamically updating system physical resources allocated to the cluster node by updating a resource allocation file managed by an operating system of a computing machine on which the cluster is running, based on the identifier of the cluster node and the received request.

A system and a method for routing a message to an application over a connection oriented session in a Kafka messaging platform environment are provided. The method includes: acquiring a plurality of partitions from the Kafka messaging platform; designating a first partition from among the plurality of partitions as a sticky partition; generating a plurality of routing keys that are configured to route to the sticky partition; receiving a subscription from a service that corresponds to a first application; transmitting, to the first application, a first routing key that identifies the subscription from among the plurality of routing keys; and receiving messages from Kafka services that are routed by the first routing key to the first application. For any particular application or set of applications, a plurality of connection oriented sessions may be used to achieve load balancing and high availability.