Abstract:
Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time. In addition, various operations may be performed to attribute causality information or other responsibility for particular program execution capacity modifications that are performed, including by attributing a single event as causing one capacity modification, and a combination of multiple events as possible causes for another capacity modification. The techniques may in some situations be used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
Abstract:
Techniques for wait time based scaling of content item instances are described herein. In some examples, a customer of a computing service provider may select a wait time threshold for joining one or more of the customer's content items that are hosted by the computing service provider. When a joining user logs-in and requests to join a content item, a calculation may be made regarding an estimated wait time for the user to join one or more existing content item instances. The estimated wait time may then be compared to the wait time threshold. A determination may then be made regarding whether or not to launch a new content item instance in response to the user's join request. In some examples, this determination may be based, at least in part, on the comparison of the estimated wait time to the wait time threshold.
Abstract:
A resource provisioning service allows users to provision multiple, different network resources in an atomic manner and with a single call to a resource provisioning service. In some instances, the multiple, different network resources comprise individual types of resources that form a portion of one or more cloud-computing platforms. For instance, one or more entities may host and operate a cloud-computing platform that includes different types of network resources, such a storage service, a load balancing service, a compute service, a security service, or any other similar or different type of network-accessible service.
Abstract:
Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time. In addition, various operations may be performed to attribute causality information or other responsibility for particular program execution capacity modifications that are performed, including by attributing a single event as causing one capacity modification, and a combination of multiple events as possible causes for another capacity modification. The techniques may in some situations be used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
Abstract:
A resource provisioning service allows users to provision multiple, different network resources in an atomic manner and with a single call to a resource provisioning service. In some instances, the multiple, different network resources comprise individual types of resources that form a portion of one or more cloud-computing platforms. For instance, one or more entities may host and operate a cloud-computing platform that includes different types of network resources, such a storage service, a load balancing service, a compute service, a security service, or any other similar or different type of network-accessible service.
Abstract:
A game-hosting service of a service provider network is configured to place game sessions on fleets of virtual machine (VM) instances using a value-based approach. In order to place a game session on a fleet, the game-hosting service may determine one or more attributes of the game session request, such as player attributes and/or game attributes. The game-hosting service may also determine available fleets of VM instances allocated to a subscriber associated with the game session request, which may be located across disparate geographical regions. A value(s) may be determined based on the attributes of the game session request, and the value(s) may be used to select a fleet of the available fleets for hosting the game session.
Abstract:
Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time, and with the aggregation of multiple determined modifications being able to be performed in various manners. Modifications may be requested or otherwise determined in various manners, including based on dynamic instructions specified by the user, and on satisfaction of triggers that are previously defined by the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
Abstract:
Shared electronic resources can be allocated for a gaming application on a dynamic basis. A package of game content and configuration can be used to allocate an appropriate amount of resource capacity. Task-based instances can be launched as needed and terminated once a gaming session has completed. In order to account for relatively long load times, a number of pre-warmed task-based instances can be allocated that can load the game server functionality up to a determined state. The number of pre-warmed instances can be based on a number of different factors, such as an amount of unused capacity across a shared resource environment. When a request for a session is received, a pre-warmed instance is selected to be upgraded to a game server instance to serve the game session for the request. Pre-warmed instances can be reclaimed if capacity is needed for other purposes.
Abstract:
Resources for hosting game sessions can be dynamically selected based upon factors in addition to availability and capacity. A requested session may have various criteria enabling it to be hosted on different types of resources, such as different types of resource instances operating on physical servers. While a fixed amount of capacity can be purchased over an extended period of time, options can also exist that enable purchasing resource capacity for a limited period of time, or purchasing excess capacity without a fixed time limit but that is subject to potential interruption. Benefits relating to cost and performance may offset these potential limitations, and the selection of a type of resource to host a game can be based upon an analysis of these factors. If a game session is to be interrupted or will time out, advance notice can be provided such that the game can take a corresponding action.
Abstract:
Techniques are described for managing program execution capacity, such as for a group of computing nodes that are provided for executing one or more programs for a user. In some situations, dynamic program execution capacity modifications for a computing node group that is in use may be performed periodically or otherwise in a recurrent manner, such as to aggregate multiple modifications that are requested or otherwise determined to be made during a period of time, and with the aggregation of multiple determined modifications being able to be performed in various manners. Modifications may be requested or otherwise determined in various manners, including based on dynamic instructions specified by the user, and on satisfaction of triggers that are previously defined by the user. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.