Abstract:
Systems and techniques are described for generating test cases. A described technique includes monitoring a manual test of a code portion. The monitoring can include identifying one or more performed operations performed during the manual test. A seed file can be generated that includes data describing the one or more performed operations. A mock test can be generated for the code portion using the seed file. The mock test can include one or more mock operations that match the one or more performed operations. The mock test can be performed on the code portion, including performing the one or more mock operations using the code portion.
Abstract:
The present disclosure is related to methods, systems, and machine-readable media for allocating cost of disk usage to a linked clone virtual machine (VM). A determination can be made as to a number of disks used by a linked clone VM, among the disks in a software defined data center, over a time period. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, regardless of whether the total usage over the time period includes usage by other VMs. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, in proportion to the number of VMs that use the disk regardless of relative usage of the disk by each of the number of VMs.
Abstract:
The present disclosure is related to methods, systems, and machine-readable media for allocating cost of disk usage to a linked clone virtual machine (VM) based on a parameter of usage. A determination can be made as to a number of disks used by a linked clone VM among a plurality of disks in a software defined data center over a time period and as to a respective portion of a parameter of usage for each of the number of disks used by the linked clone VM over the time period that is attributable to the linked clone VM. A portion of a cost for usage of each of the number of disks over the time period can be allocated to the linked clone VM in proportion to the respective portion of the parameter of usage attributable to the linked clone VM and/or on a relative latency.
Abstract:
Techniques for performing dynamic cost per unit resource usage in a virtual data center are described. In one example embodiment, an initial unit resource usage price is received for the virtual data center for a first cycle. Further, capital expenditure (CAPEX) and operating expenditure (OPEX) information of the virtual data center of the first cycle is obtained. Furthermore, a target return on investment (ROI) for the virtual data center for a second cycle is received. A unit resource usage price is then computed for the second cycle using the received initial unit resource usage price for the first cycle and the CAPEX and OPEX information of the first cycle. The unit resource usage price is then dynamically calibrated for the second cycle using the computed unit resource usage price and the target ROI.
Abstract:
The present disclosure is related to methods, systems, and machine-readable media for allocating cost of disk usage to a linked clone virtual machine (VM) based on a parameter of usage. A determination can be made as to a number of disks used by a linked clone VM among a plurality of disks in a software defined data center over a time period and as to a respective portion of a parameter of usage for each of the number of disks used by the linked clone VM over the time period that is attributable to the linked clone VM. A portion of a cost for usage of each of the number of disks over the time period can be allocated to the linked clone VM in proportion to the respective portion of the parameter of usage attributable to the linked clone VM and/or on a relative latency.
Abstract:
The present disclosure is related to methods, systems, and machine-readable media for allocating cost of disk usage to a linked clone virtual machine (VM). A determination can be made as to a number of disks used by a linked clone VM, among the disks in a software defined data center, over a time period. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, regardless of whether the total usage over the time period includes usage by other VMs. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, in proportion to the number of VMs that use the disk regardless of relative usage of the disk by each of the number of VMs.
Abstract:
The disclosure provides a method for upgrading components of a container-based cluster. The method generally include receiving, at the container-based cluster, an indication of one or more pods and one or more nodes in the cluster to upgrade, adding an annotation to each of the one or more nodes having at least one of the one or more pods running thereon, performing a pod upgrade, and performing a node upgrade, wherein performance of the pod upgrade and the node upgrade overlap at least partially in time, and wherein performing the node upgrade comprises: selecting a first node, determining at a first time that the first node includes an annotation, refraining from upgrading the first node at the first time, determining at a second time after the first time that the first node does not include the annotation, and upgrading the first node at the second time.
Abstract:
Some embodiments of the invention provide a method for defining a telecommunications network deployment for a particular geographic region that includes of a set of sub-regions. The telecommunications network including an access network, an edge network, and a core network. The method is performed for each sub-region in the set of sub-regions. The method determines population density of UEs (user equipment) within the sub-region. Based on the determined population density, the method identifies an area type for the sub-region from a set of area types. The method simulates performance of the telecommunications network to explore, based on the identified area type, multiple configurations for access nodes that connect the UEs to the telecommunications network, each configuration in the multiple configurations indicating (1) a number of access nodes to be included in the telecommunications network deployment and (2) locations at which each access node is to be deployed. The method selects a particular configuration for access nodes from the multiple configurations for use in defining the telecommunications network deployment.
Abstract:
Some embodiments of the invention provide a method for defining compute resource deployments in a telecommunications network for a particular geographic region divided into a set of sub-regions, the telecommunications network including an access network, an edge network and a core network, the compute resources for consumption by a set of non-telephony applications that are deployed in the telecommunications network to provide respective sets of services to multiplicities of UEs (user equipment) connected to the telecommunications network in the particular geographic region. For each sub-region in the set of sub-regions, the method defines multiple compute resource deployments for the telecommunications network, each compute resource deployment in the multiple compute resource deployments specifying a respective set of locations in non-core networks at which to deploy compute resources for consumption by the set of non-telephony applications based on respective application requirements associated with each non-telephony application in the set of non-telephony applications. For each sub-region in the set of sub-regions, for each compute resource deployment in the defined multiple compute resource deployments, the method simulates performance of the telecommunications network based on the compute resource deployment. The method uses sets of performance metrics resulting from simulating performance of the telecommunications network to select a particular compute resource deployment from the defined multiple compute resource deployments to deploy for the telecommunications network.
Abstract:
Some embodiments provide a method that generates (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster. The method updates a configuration map of the worker node based on the node profile. The method uses a node configuration operator in a remote data center to configure the worker node based on the configuration map. The method uses a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile.