In some aspects, an aggregation system of a cloud system may receive, by an aggregation system of a cloud system and from a data catalog, one or more events from one or more data sources of the cloud system, the one or more data sources having one or more resource types. The aggregation system may store event data to a message queue. The aggregation system of a cloud system may process, by one or more workers of the cloud system, a subset of events from the message queue at a time. The aggregation system may for each event in the subset of events: determine whether an event source has been updated based on information in the event. The aggregation system may in accordance with a determination that the event source has been updated, send an updated status to a dashboard, the dashboard configured to be displayed on a user device.

In some aspects, an aggregation system of a cloud system may receive, by an aggregation system of a cloud system and from a data catalog, one or more events from one or more data sources of the cloud system, the one or more data sources having one or more resource types. The aggregation system may store event data to a message queue. The aggregation system of a cloud system may process, by one or more workers of the cloud system, a subset of events from the message queue at a time. The aggregation system may for each event in the subset of events: determine whether an event source has been updated based on information in the event. The aggregation system may in accordance with a determination that the event source has been updated, send an updated status to a dashboard, the dashboard configured to be displayed on a user device.

The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search-based auction methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing facilities. In one implementation, resource-provider computing facilities automatically generate hosting fees for hosting computational-resources-consuming entities on behalf of resource-consumer computing facilities that are included in bid-response messages returned by the resource-provider computing facilities in response to receiving bid-request messages. In another implementation, a cloud-exchange system automatically generates hosting fees on behalf of resource-provider computing facilities.

The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search-based auction methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing facilities. In one implementation, resource-provider computing facilities automatically generate hosting fees for hosting computational-resources-consuming entities on behalf of resource-consumer computing facilities that are included in bid-response messages returned by the resource-provider computing facilities in response to receiving bid-request messages. In another implementation, a cloud-exchange system automatically generates hosting fees on behalf of resource-provider computing facilities.

In one embodiment, a method for improved management of virtual machine clusters may include: determining a current utilization value for each of a plurality of virtual machines (VMs) in a cluster, the VMs associated with a plurality of applications; storing the current utilization values for each of the plurality of VMs in a utilization table; determining that a capacity threshold for the cluster has not been reached based on an aggregation of the current utilization values for the plurality of VMs; provisioning a new VM into the cluster; storing a default utilization value for the new VM in the utilization table; and re-determining the capacity threshold based on the aggregated stored current utilization values for the plurality of VMs and the stored default utilization value for the new VM until a maturity threshold for the new VM is reached.

Example method includes: receiving a plurality of intent-based network policies in a network, wherein each intent-based policy comprises at least a rule and an action to be performed by a network function on a network packet in response to the rule being matched; identifying a set of header address spaces comprising a plurality of addresses that match to a same set of rules and actions; creating an atomic address object representing the identified set of header address spaces; and verifying the plurality of intent-based network policies using the atomic address object.

Techniques for implementing an infrastructure orchestration service are described. In some examples, a declarative provisioner of the infrastructure orchestration service receives instructions for deployment of a resource. The declarative provisioner identifies that the deployment of the resource is a long-running task stores state information corresponding to the deployment of the resource. In certain embodiments, upon identifying that the deployment of the resource is a long-running task, the declarative provisioner pauses its execution of the long-running task. Responsive to a trigger received from the infrastructure orchestration service, the declarative provisioner resumes execution of the deployment of the resource using the state information and transmits deployment information corresponding to the deployment of the resource to the infrastructure orchestration service.

Techniques for implementing an infrastructure orchestration service are described. In some examples, a declarative provisioner of the infrastructure orchestration service receives instructions for deployment of a resource. The declarative provisioner identifies that the deployment of the resource is a long-running task stores state information corresponding to the deployment of the resource. In certain embodiments, upon identifying that the deployment of the resource is a long-running task, the declarative provisioner pauses its execution of the long-running task. Responsive to a trigger received from the infrastructure orchestration service, the declarative provisioner resumes execution of the deployment of the resource using the state information and transmits deployment information corresponding to the deployment of the resource to the infrastructure orchestration service.

A vehicular battery management system (BMS) comprises a battery controller, a set of battery cells, a primary network node coupled to the battery controller, and a secondary network node coupled to the set of battery cells. The primary and secondary network nodes are configured to wirelessly communicate with each other using frames that share a common frame format. The frame format includes one or more bits and a status of the one or more bits indicates whether the secondary network node is to communicate with the primary network node on behalf of another secondary network node.

A method for transmitting agreed data on a network by an electronic apparatus, the method according to an embodiment of the present invention may include the steps of storing a generation matrix generated on the basis of the number of a plurality of electronic apparatuses including the electronic apparatus participating in the network and the number of a plurality of data blocks to be shared between the plurality of electronic apparatuses and transmitting an agreed data block agreed to be shared with another electronic apparatuses included in the plurality of electronic apparatuses to another electronic apparatus on the basis of the generation matrix.