Abstract: In a cloud computing system, groups of virtual machines include within one or more pods interacting with one another. A set of hosts is dedicated to operation of the virtual machines in each pod, and such dedication persists during routine maintenance operations when one or more virtual machines is uninstalled. The pod and the hosts can be scheduled for maintenance during a single interval. The cloud computing system may notify the owner of the virtual machines in advance of the interval, and may allow the owner of the virtual machines to either reschedule the maintenance of the pod and hosts in a single interval, or to schedule maintenance for each virtual machine in a separate interval.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for generating machine learning models. A method includes receiving, through a GUI, user selection of a mode button displayed in the GUI, wherein the mode button, when selected, causes the GUI to display a first set of user-selectable buttons that correspond to respective machine learning routines, and when not selected, causes the GUI to display a second set of user-selectable buttons that correspond to respective machine learning sub-routines; in response to receiving user selection of the mode button, displaying the first set of user-selectable buttons; receiving user selection of one or more of the first set of user-selectable buttons; displaying a graphical representation of a machine learning model defined by machine learning routines corresponding to the user selected one or more of the first set of user-selectable buttons and generating a file representing the machine learning model.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for generating machine learning models. A method includes receiving, through a GUI, user selection of a mode button displayed in the GUI, wherein the mode button, when selected, causes the GUI to display a first set of user-selectable buttons that correspond to respective machine learning routines, and when not selected, causes the GUI to display a second set of user-selectable buttons that correspond to respective machine learning sub-routines; in response to receiving user selection of the mode button, displaying the first set of user-selectable buttons; receiving user selection of one or more of the first set of user-selectable buttons; displaying a graphical representation of a machine learning model defined by machine learning routines corresponding to the user selected one or more of the first set of user-selectable buttons and generating a file representing the machine learning model.

Abstract: The present invention discloses methods and systems for providing secure user access to services offered by a service provider to a client application over a network. One embodiment includes receiving an application cookie from the client application and populating a service cookie based on information in the application cookie. Information in the service cookie is utilized as a basis for regulating a provision of services to the client application.

Abstract: The present invention discloses methods and systems for providing secure user access to services offered by a service provider to a client application over a network. One embodiment includes receiving an application cookie from the client application and populating a service cookie based on information in the application cookie. Information in the service cookie is utilized as a basis for regulating a provision of services to the client application.

Abstract: The present invention discloses methods and systems for providing secure user access to services offered by a service provider to a client application over a network. One embodiment includes receiving an application cookie from the client application and populating a service cookie based on information in the application cookie. Information in the service cookie is utilized as a basis for regulating a provision of services to the client application.

Abstract: A distributed application may be updated by using information provided by the application to determine grouping, sequencing, and whether or not to advance an update sequence. The application may provide input to an update sequence, and may cause the update sequence to repair one or more replicas prior to updating. The update mechanism may be used to change the distributed application topology as well as make changes to the application executable code, application configuration, quest operating system, virtual machine, and host systems, among others. In some cases, the distributed application may use a quorum to determine which version is current, and the quorum may change during the update process.

Abstract: The starting up of an application involving multiple virtual machines by overallocating virtual machines. In response to a request to allocate a certain number of virtual machines corresponding to the application, an augmented number of virtual machines is determined to be allocated in response to the request. The augmented number includes both the initially requested number of virtual machines in addition to a surplus number of virtual machines. The virtual machines are then initiated to start up if they are not already started up. Before all of the virtual machines are started up, code is bound to the virtual machines. Thus, because more virtual machines were initiated startup than are required for the application, the code may be bound to some of the virtual machines in the application before all of the virtual machine have started up.

Abstract: The present invention discloses methods and systems for providing secure user access to services offered by a service provider to a client application over a network. One embodiment includes receiving an application cookie from the client application and populating a service cookie based on information in the application cookie. Information in the service cookie is utilized as a basis for regulating a provision of services to the client application.

Abstract: The replication of an asset from a source cluster in a source data center to multiple target clusters in multiple destination data centers. The replication occurs by first estimating or determining a cost parameter associated with copying of the asset from the source cluster to each of at least some of the target clusters. As an example, the cost parameter might be a geographical parameter, but might also be any cost parameter such as a channel bandwidth, channel cost, utilization ratio or the like. Based on the cost parameters, an order of replication priority is determined. Then, the replication is initiated in accordance with the prioritization. The replication may occur in multiple phases, and replication prioritization may occur on a per phase basis.

Abstract: The present invention discloses methods and systems for providing secure user access to services offered by a service provider to a client application over a network. One embodiment includes receiving an application cookie from the client application and populating a service cookie based on information in the application cookie. Information in the service cookie is utilized as a basis for regulating a provision of services to the client application.

Abstract: Methods, systems, and computer-readable media for facilitating coordination between a fabric controller of a cloud-computing network and a service application running in the cloud-computing network are provided. Initially, an update domain (UD) that includes role instance(s) of the service application is selected, where the service application represents a stateful application is targeted for receiving a tenant job executed thereon. The process of coordination involves preparing the UD for execution of the tenant job, disabling the role instance(s) of the UD to an offline condition, allowing the tenant job to execute, and restoring the role instance(s) to an online condition upon completing execution of the tenant job.

Abstract: A system that includes multiple hosts, each having physical resources, a hypervisor, and a host agent that causes the virtual machines to operate above the hypervisor so as to be abstracted from the physical resources. A host fabric reviews requests to instantiate or upgrade a virtual machine, identifies a corresponding virtual machine image to instantiate the virtual machine from in order to honor the request, and determines whether the virtual machine to be instantiated has a valid lease on the virtual machine image. If the requestor does not have a valid lease, the request is blocked. If the requestor does have a valid lease, the host fabric facilitates the instantiation of the virtual machine from the virtual machine image. This prevents or eliminates the chances of multiple instances of the same virtual machine image writing to the virtual machine image at the same time.

Abstract: The replication of an asset from a source cluster in a source data center to multiple target clusters in multiple destination data centers. The replication occurs by first estimating or determining a cost parameter associated with copying of the asset from the source cluster to each of at least some of the target clusters. As an example, the cost parameter might be a geographical parameter, but might also be any cost parameter such as a channel bandwidth, channel cost, utilization ratio or the like. Based on the cost parameters, an order of replication priority is determined. Then, the replication is initiated in accordance with the prioritization. The replication may occur in multiple phases, and replication prioritization may occur on a per phase basis.

Abstract: Configuring a node. A method includes determining a current state of a target node. The current state of the target node refers to objects currently deployed or running in the remote target node. It includes at least one of an operating system, one or more applications, or configuration setting at the target node. The method further includes determining a desired state for the target node to change the current state. The method further includes accessing a dependency graph based on the version of an agent running on the target node. The dependency graph is supplied to a state machine. The state machine is particular to the target node. The state machine using the current state of the target node, the desired state and the dependency graph, performs operations to drive the target node toward its goal.

Abstract: The starting up of an application involving multiple virtual machines by overallocating virtual machines. In response to a request to allocate a certain number of virtual machines corresponding to the application, an augmented number of virtual machines is determined to be allocated in response to the request. The augmented number includes both the initially requested number of virtual machines in addition to a surplus number of virtual machines. The virtual machines are then initiated startup if they are not already started up. Before all of the virtual machines are started up, code is bound to the virtual machines. Thus, because more virtual machines were initiated startup than are required for the application, the code may be bound to some of the virtual machines in the application before all of the virtual machine have started up.

Abstract: A system that includes multiple hosts, each having physical resources, a hypervisor, and a host agent that causes the virtual machines to operate above the hypervisor so as to be abstracted from the physical resources. A host fabric reviews requests to instantiate or upgrade a virtual machine, identifies a corresponding virtual machine image to instantiate the virtual machine from in order to honor the request, and determines whether the virtual machine to be instantiated has a valid lease on the virtual machine image. If the requestor does not have a valid lease, the request is blocked. If the requestor does have a valid lease, the host fabric facilitates the instantiation of the virtual machine from the virtual machine image. This prevents or eliminates the chances of multiple instances of the same virtual machine image writing to the virtual machine image at the same time.

Abstract: Methods, systems, and computer-readable media for facilitating coordination between a fabric controller of a cloud-computing network and a service application running in the cloud-computing network are provided. Initially, an update domain (UD) that includes role instance(s) of the service application is selected, where the service application represents a stateful application is targeted for receiving a tenant job executed thereon. The process of coordination involves preparing the UD for execution of the tenant job, disabling the role instance(s) of the UD to an offline condition, allowing the tenant job to execute, and restoring the role instance(s) to an online condition upon completing execution of the tenant job.

Abstract: Methods, systems, and computer-readable media for deploying an update to nodes propagated throughout a data center are provided. Launching new upgrade to hosting environment residing on the nodes typically invokes a mechanism (e.g., fabric controller) to form a group of nodes that are independent of one another with respect to upgrade domains, which are assigned to tenants (e.g., program components of service applications running within the data center) presently hosted by the nodes. The constraints of the update domains are articulated by service level agreements established for the service applications, respectively. Forming the group involves identifying independent nodes for membership, where no two members of the group host analogous tenants (belonging to a common service application) that are assigned to distinct update domains. However, it is acceptable to join to the group those nodes hosting analogous tenants that are each assigned to the same update domain.

Abstract: Subject matter described herein is directed to reallocating an application component from a faulty data-center resource to a non-faulty data-center resource. Background monitors identify data-center resources that are faulty and schedule migration of application components from the faulty data-center resources to non-faulty data-center resources. Migration is carried out in an automatic manner that allows an application to remain available. Thresholds are in place to control a rate of migration, as well as, detect when resource failure might be resulting from data-center-wide processes or from an application failure.