Abstract: Systems and methods are provided for scheduling a virtual machine (VM) to host a workload in a cloud system. In particular, the disclosed technology schedules an evicted VM for redeploying an interruptible workload. The scheduling is based on capacity prediction and inference data associated with a type of the evicted VM. Capacity signal predictor generates training data for training a machine learning model using capacity signal history data of the cloud system. The machine-learning model, once trained, predicts capacity including a rate of evictions for the types of the evicted VM. The predicted data is based on at least the current status of available computing resources. Upon receiving a notice associated with a workload interruption, the intelligent scheduler prioritizes the evicted VM for scheduling and determines whether to defer redeploying the evicted VM based on the rate of eviction for the type of the evicted VM.

Abstract: The present disclosure relates to systems, methods, and computer readable media for predicting surplus capacity on a set of server nodes and determining a quantity of deferrable virtual machines (VMs) that may be scheduled over an upcoming period of time. This determination of VM quantity may be determined while minimizing risks associated with allocation failures on the set of server nodes. This disclosure described systems that facilitate features and functionality related to improving utilization of surplus resource capacity on a plurality of server nodes by implementing VMs having some flexibility in timing of deployment while also avoiding significant risk caused as a result of over-allocated storage and computing resources. In one or more embodiments, the quantity of deferrable VMs is determined and scheduled in accordance with rules of a scheduling policy.

Abstract: A cloud computing capacity management system can include a fine-grained admission control layer, a policy engine, and an enforcement layer. The fine-grained admission control layer can be configured to ingest capacity signals and create a capacity mitigation policy, based at least in part on the capacity signals, to protect available capacity of a cloud computing system for prioritized users. The capacity mitigation policy can be directed to users of the cloud computing system. The policy engine can be configured to control how the capacity mitigation policy is applied to the cloud computing system. The enforcement layer can be configured to handle incoming resource requests and to enforce resource limits based on the capacity mitigation policy as applied by the policy engine.

Abstract: A storage account is replicated across multiple data centers so as to withstand an outage of the storage account. A front end and applications use data stored in the storage accounts to manage resources of a cloud computing system. A client includes an interface used by the front end to access the storage accounts, in addition to an interface that is used by the applications to access the storage accounts. Other features, which ensure that a read operation survives even if a head replica or a tail replica is down, include reading from a head replica instead of from a tail replica, a two phase prepare-commit operation to propagate changes from head to tail replicas, and provisioning a back end repair service if a failure occurs in the middle of the prepare-commit operation.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.

Abstract: Software updates within one or more regions of a multi-tenant cloud are coordinated. Tenant vs. tenant conflicts, tenant vs. infrastructure provider conflicts, and conflicts between security and another priority are identified and resolved using a shared update coordinator, update priority specifications, and availability specifications. An infrastructure update request may be presented to tenants for approval. Postponed infrastructure updates may be prioritized higher. Preventing exploits of zero-day vulnerabilities may be prioritized over meeting availability targets. Updates may be merged to reduce downtime, even when the updates originate from independently controlled entities. Maximum downtime, minimum fault domains, minimum virtual machines, permitted update start times, and other availability criteria may be specified. Updates may be preempted, or allowed to complete, based on their relative priorities.

Abstract: Various methods and systems for autonomously upgrading deployed resources in a distributed computing environment are provided. An autonomous upgrade system identifies updates such as operating system image updates and virtual machine extension updates for deployment in the distributed computing environment. The autonomous upgrade system identifies eligible tenants, identifies deployed resources that may be impacted by the identified update, batches the resources and upgrades the batched resources. The autonomous upgrade system performs a diagnostic test on upgraded resources to determine whether an upgrade was successful. In some embodiments, the diagnostic test is performed by executing a diagnostic script that can be provided by a tenant. The autonomous upgrade system can stop or pause the upgrade if various success metrics are not satisfied. In some embodiments, the autonomous upgrade system tests and certifies newly published updates for deployment to the distributed computing environment.

Abstract: Methods and computer-readable media are provided herein for implementing custom application programming interfaces (API) for creating, managing, and provisioning packages of online applications. An offer management service API is implemented that provides methods for creating and modifying offers for packages of online applications. An offer provisioning API is implemented that provides methods enabling the provisioning of online applications for subscribers to offers. An application provider API is published and utilized to provision and maintain individual instances of online applications provided by application providers.

Abstract: A storage account is replicated across multiple data centers so as to withstand an outage of the storage account. A front end and applications use data stored in the storage accounts to manage resources of a cloud computing system. A client includes an interface used by the front end to access the storage accounts, in addition to an interface that is used by the applications to access the storage accounts. Other features, which ensure that a read operation survives even if a head replica or a tail replica is down, include reading from a head replica instead of from a tail replica, a two phase prepare-commit operation to propagate changes from head to tail replicas, and provisioning a back end repair service if a failure occurs in the middle of the prepare-commit operation.

Abstract: Methods and computer-readable media are provided herein for implementing custom application programming interfaces (API) for creating, managing, and provisioning packages of online applications. An offer management service API is implemented that provides methods for creating and modifying offers for packages of online applications. An offer provisioning API is implemented that provides methods enabling the provisioning of online applications for subscribers to offers. An application provider API is published and utilized to provision and maintain individual instances of online applications provided by application providers.

Abstract: The passive edge-tone suppression method includes the step of inserting a central insertion tube within a nozzle to disturb jet oscillations in a flow field of an edge-tone feedback loop. The central insertion tube can have a diameter of 200 micrometers and can be inserted within a center of the nozzle. The method also includes the step of extending the central insertion tube through the nozzle and into an alignment with the edge producing the edge tone. Further, the method includes the step of increasing a length of the central insertion tube in relation to a stand-off distance between the nozzle and the edge. The length of the central insertion tube can be increased to a length of about 30 percent of the stand-off distance.

Abstract: Methods and computer-readable media are provided herein for implementing custom application programming interfaces (API) for creating, managing, and provisioning packages of online applications. An offer management service API is implemented that provides methods for creating and modifying offers for packages of online applications. An offer provisioning API is implemented that provides methods enabling the provisioning of online applications for subscribers to offers. An application provider API is published and utilized to provision and maintain individual instances of online applications provided by application providers.

Abstract: Online services offer modeling is provided. A system for managing online offers for products and services includes a components module, an offer module, a subscription module, a billing module and a change management module. The component module defines the properties of components that may be included in an offer. The offer module defines the features of the offer, including one or more components. The components may be a base component or an add-on component. The subscription module processes the provisioning of an offer. The market module specifies countries or regions in which offers are made available. The billing module processes billing and payment actions for an offer. The change management module processes alterations to a provisioned offer, inserting the properties of an add-on component into the properties of a base component.

Abstract: Online services offer modeling is provided. A system for managing online offers for products and services includes a components module, an offer module, a subscription module, a billing module and a change management module. The component module defines the properties of components that may be included in an offer. The offer module defines the features of the offer, including one or more components. The components may be a base component or an add-on component. The subscription module processes the provisioning of an offer. The market module specifies countries or regions in which offers are made available. The billing module processes billing and payment actions for an offer. The change management module processes alterations to a provisioned offer, inserting the properties of an add-on component into the properties of a base component.

Abstract: Methods and computer-readable media are provided herein for implementing custom application programming interfaces (API) for creating, managing, and provisioning packages of online applications. An offer management service API is implemented that provides methods for creating and modifying offers for packages of online applications. An offer provisioning API is implemented that provides methods enabling the provisioning of online applications for subscribers to offers. An application provider API is published and utilized to provision and maintain individual instances of online applications provided by application providers.

Abstract: A compressed lexicon is built by receiving a word list, which includes word-dependent data associated with each word in the word list. A word is selected from the word list. A hash value is generated based on the selected word, and the hash value identifies an address in a hash table which, in turn, is written with a location in lexicon memory that is to hold the compressed form of the selected word, and the compressed word-dependent data associated with the selected word. The word is then encoded, or compressed, as is its associated word-dependent data. This information is written at the identified location in the lexicon memory.

Abstract: A data service that manages user and subscription data for multiple services. The data service maintains a database of the user and subscription data and provides an interface that allows the other services, that act as clients to the data service, to access that data. The data service avoids the need for the client services to implement a framework to manage the storage of user and subscription data. The data service also allows user profile data to be updated by one client service and used by all others. Further, data, such as usage history or information on policy violations, may be shared by multiple services.

Abstract: A strategy is described for alerting a user when an Internet domain becomes active. The strategy includes receiving a domain change request and logging this request in a domain table. The domain change request can instruct a registrar to create a new domain, or modify an existing domain (such as by transferring or re-delegating an existing domain). Monitoring logic is configured to use the domain table to perform periodic checks to determine whether the domain has become active. If the domain has become active, notification logic is configured to send a recipient a message which alerts the recipient to the activation of the Internet domain. The notification logic can send this message using electronic mail or some other communication mechanism.

Abstract: Disclosed is: (i) a method of controlling a molding system, (ii) a molding system, (iii) a controller of a molding system, (iv) an article of manufacture of a controller of a molding system and/or (v) a network-transmittable signal of a controller of a molding system, amongst other things.

Abstract: Permission to access a particular computer resource is controlled by establishing conditions for each user account that may be used for log-in to the computer system providing the computer resource. The user account may represent a single user, a group of individual users, or large groupings of individual users such as network domains. The computer resource may include files, local or on-line services, and the like. Once the conditions are set for the user account and the given resource, then upon attempts by a user who is logged in via the user account to access the resource, the one or more conditions are checked to determine whether access should be granted.