Abstract: In one example, a request to migrate an application running on a first compute node to a second compute node with a change in a version of the application may be received. Migration information may be provided to a cloud-based Migration as a Service provider based on the request. An application migration component may be received from the cloud-based Migration as a Service provider based on the migration information. Further, the application migration component may be executed to migrate the application from the first compute node to the second compute node with the change in the version of the application.

Abstract: A method of selectively assigning virtual CPUs (vCPUs) of a virtual machine (VM) to physical CPUs (pCPUs), where execution of the VM is supported by a hypervisor running on a hardware platform including the pCPUs, includes determining that a first vCPU of the vCPUs is scheduled to execute a latency-sensitive workload of the VM and a second vCPU of the vCPUs is scheduled to execute a non-latency-sensitive workload of the VM and assigning the first vCPU to a first pCPU of the pCPUs and the second vCPU to a second pCPU of the pCPUs. A kernel component of the hypervisor pins the assignment of the first vCPU to the first pCPU and does not pin the assignment of the second vCPU to the second pCPU. The method further comprises selectively tagging or not tagging by a user or an automated tool, a plurality of workloads of the VM as latency-sensitive.

Abstract: Some embodiments provide a method for generating a test traffic configuration for testing a first network. From a second network, the method receives a set of data streams representing data traffic observed in the second network. The method uses a machine learning engine to analyze the set of data streams in order to determine traffic patterns in the second network. The method generates the test traffic configuration for testing the first network by replicating the traffic patterns of the second network in the first network.

Abstract: This relates generally to create and manage a cloud infrastructure using a cloud infrastructure tool. An example method includes, at a server associated with a cloud management platform, receiving a configuration file associated with a cloud infrastructure tool describing a desired state of a cloud infrastructure; creating a cloud template based on the configuration file; determining cloud resources for achieving the desired state of the cloud infrastructure based on the cloud template; for each of the cloud resources: determining a type of the cloud resource; identifying a native resource associated with the cloud management platform based on the type of the resource; mapping an identification of the native resource to the cloud resource; and storing the mapping between the cloud resource and the native resource in a non-native format; and displaying a graphical user interface configured to display a topology for the cloud resources and the cloud infrastructure tool.

Abstract: Systems and techniques are described for using virtual machines to write parallel and distributed applications. One of the techniques includes receiving a job request, wherein the job request specifies a first job to be performed by a plurality of a special purpose virtual machines, wherein the first job includes a plurality of tasks; selecting a parent special purpose virtual machine from a plurality of parent special purpose virtual machines to perform the first job; instantiating a plurality of child special purpose virtual machines from the selected parent special purpose virtual machine; partitioning the plurality of tasks among the plurality of child special purpose virtual machines by assigning one or more of the plurality of tasks to each of the child special purpose virtual machines; and performing the first job by causing each of the child special purpose virtual machines to execute the tasks assigned to the child special purpose virtual machine.

Abstract: Some embodiments provide a method for a host computer that executes a set of data compute nodes (DCNs), for identifying a designated router for a multicast group. The method receives a membership request message to join the multicast group from a particular DCN of the set of DCNs, the membership request message including an address associated with the multicast group. The method identifies a logical router gateway from a set of logical router gateways as the designated router for the multicast group, based at least in part on the address associated with the multicast group, where different logical router gateways from the set of logical router gateways are assigned as designated routers for different multicast groups with different associated addresses. The method forwards the membership request message to the identified logical router gateway.

Abstract: A method for analyzing network incidents within a network and providing prioritized remediation recommendations is disclosed. The method includes: receiving network data and computing a plurality of network incidents from the network data, collecting network incidents related to a particular network issue over a time period and grouping the network incidents according to root-cause symptoms, generating a network incident graph by superimposing groups of network incidents over a network graph, analyzing the network incident graph to identify localized areas with systemic issues; and based on the analysis of the network incident graph, generating and displaying a list of remediation recommendations. Each remediation recommendation includes a systemic issue in the network, a remediation to resolve the issue, and a quantified expected benefit from implementing the remediation.

Abstract: Techniques for installing agents on host computing systems in data centers are disclosed. In one example, load information and resource capability associated with a host computing system in a data center may be determined. Further, a maximum number of concurrent installations to be performed on the host computing system may be determined based on the load information and the resource capability. Furthermore, a channel with the maximum number of concurrent installations may be configured for the host computing system and agents may be installed on the host computing system based on the configured channel.

Abstract: The disclosure supports both trickle and burst input/output (I/O) admission rates in journaling file systems. Examples include receiving incoming data; based at least on receiving the incoming data, generating metadata for a journal entry; adding the metadata to an active metadata batch; issuing a data write to write the incoming data to a storage medium; monitoring for a first trigger comprising determining that a data write for an entry in the active metadata batch is complete; based at least on the first trigger, closing the active metadata batch; and issuing a journal write to write entries of the active metadata batch to the storage medium. A second trigger comprises determining that a batch open time exceeds a selected percentage of a moving average of data write durations. A third trigger comprises determining that a batch counter exceeds a count threshold. These triggers work together to reduce I/O latencies.

Abstract: Systems, methods, and software to enhance the management of software defined networks. A controller is configured to maintain a data plane configuration for a virtual machine environment based on forwarding rules. The controller is further configured to identify a virtual machine group to be deployed in the computing environment, and identify tags associated with each virtual machine in the virtual machine group. Once the tags are identified, the controller may update the data plane forwarding configuration based on the identified tags and the forwarding rules.

Abstract: An example method of managing a lifecycle of virtualization software in a host is described. The method includes: obtaining, by an initiator in a current version of the virtualization software, a software installation bundle (SIB) from an image repository for a target version of the virtualization software, the SIB including a patcher; verifying, by the initiator, authenticity of the SIB; mounting at least one payload of the SIB in a root filesystem of the virtualization software, and initiating, by the initiator, the patcher in the at least one payload as mounted to perform at least one check operation.

Abstract: Examples herein describe systems and methods for Physical Uplink Control Channel (PUCCH) reallocation. Interference can be detected on a Physical Resource Block (PRB) corresponding to a time-frequency unit of a resource allocated to PUCCH by a base station. The impact the interference has on a subscriber service can be quantified. The quantified services impact can be compared to a threshold. Upon determining that the service impact exceeds the threshold, PRBs of other resources on the base station can be analyzed. The analysis can predict how reallocating the other resources to PUCCH can improve the quality of the subscriber service. One of the other resources can be selected, and instructions can be provided to reallocate the selected resource to PUCCH.

Abstract: Disclosed are various embodiments for assigning compute kernels to compute accelerators that form an aggregated virtualized compute accelerator. A directed, acyclic graph (DAG) representing a workload assigned to a virtualized compute accelerator is generated. The workload can include a plurality of compute kernels and the DAG comprising a plurality of nodes and a plurality of edges, each of the nodes representing a respective compute kernel, each edge representing a dependency between a respective pair of the compute kernels, and the virtualized compute accelerator representing a logical interface for a plurality of compute accelerators. The DAG can be analyzed to identify sets of dependent compute kernels, each set of dependent compute kernels being independent of the other sets of dependent compute kernels and execution of at least one compute kernel in a set of dependent compute kernels depending on a previous execution of another computer kernel in the set of dependent compute kernels.

Abstract: The disclosure provides for repositioning applications from physical devices to a cloud location without removing the applications from the physical devices. This provides advantages of cloud-based availability for the applications while preserving device configurations. Thus, a user may continue to use the local version during transition to cloud usage so that if a problem arises during transition, adverse effects on user productivity are mitigated. Examples include generating, on a device, a first virtualization layer, and uninstalling an application from the first virtualization layer while capturing uninstallation traffic within the first virtualization layer. Examples further include generating, on the device, a second virtualization layer, installing the application in the second virtualization layer, and generating, from the second virtualization layer with the installed application, an application package. Examples are able to position the application package on a remote node for execution.

Abstract: Aspects of updating or upgrading a management system for a virtualized computing environment are described. In some aspects, a virtualization management system that manages a virtualized computing environment can be upgraded or updated with limited downtime of the system by deploying a new instance of the system and subsequently assigning a network address of the previous instance to the new instance once it is deployed in the environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for resynchronizing data in a storage system. One of the methods includes determining that a particular disk of a capacity object of a storage system was offline for an interval of time, wherein the capacity object comprises a plurality of segments, and wherein the storage system comprises a segment usage table identifying a linked list of particular segments of the capacity object that are in use; determining a time point at which the particular disk went offline; determining one or more first segments of the capacity object that were modified after the time point, wherein determining one or more first segments comprises determining each segment of the segment usage table having a transaction ID that is larger than the time point; and resynchronizing, for each first segment, a portion of the particular disk corresponding to the first segment.

Abstract: In an embodiment, a computer-implemented method for enabling enhanced firewall rules via ARP-based annotations is described. In an embodiment, a method comprises detecting, by a hypervisor implemented in a first host, that a first process is executing on the first host. The hypervisor determines first context information for the first process, generates a first request, encapsulates the first request and the first context information in a first packet, and transmits the first packet to a central controller to cause the central controller to update the controller's table to indicate that the first process is executing on the first host. In response to receiving a second packet from the central controller and determining that the second packet comprises a first response, the hypervisor extracts second context information from the second packet and, based on the second context information, determines that a second process is executing on a second host.

Abstract: Example methods and systems to perform distributed upgrade of a component of a data plane are disclosed. One method may include collecting information associated with all the components, preparing a upgrade plan by associating a first set of tasks of the upgrade plan with a first manager and a second set of tasks of the upgrade plan with a second manager based on the collected information, and distributing the first set of tasks to a first upgrade coordinator of the first manager and the second set of tasks to a second upgrade coordinator of the second manager.

Abstract: Load balancing across hosts in a computer system is triggered based on pairwise comparisons of resource utilization at different host. A method for load balancing across hosts includes the steps of determining a resource utilization difference between first and second hosts, wherein the first host has a higher resource utilization than the second host, comparing the resource utilization difference against a threshold difference, and upon determining that the resource utilization difference exceeds the threshold difference, selecting a workload executing in the first host for migration to the second host.

Abstract: Methods, apparatus, systems and articles of manufacture to dynamically discover and host services in fog servers are disclosed. An example apparatus includes a service manager to determine that a received service request from an Internet of things (IoT) device is not able to be performed locally at a first fog server; a first interface to transmit the service request to a fog resource manager; and a second interface to transmit instructions to the IoT device to transmit the service request to a second fog server, a response from the fog resource manager including service data related to the second fog server.