Amazon Technologies, Inc.

Aleksey A Polesskiy

Christopher David Byskal

Geoffrey Scott Pare

Hok Peng Leung

Alexis Levasseur

Andrew Vladimirovich Temlyakov

Richard Franklin Porter

Joshua Ryan Davis

Matthew Wuerffel

Techniques for content testing during image production are described herein. Information associated with a content item may be loaded onto a first virtual machine instance and a second virtual machine instance. On the second virtual machine instance, production of a virtual machine image including the information associated with the content item may be initiated. On the first virtual machine instance, a first instance of the content item may be executed. At least part of a time during which the first instance of the content item is executed may occur during the production of the virtual machine image. Upon completion of production of the virtual machine image and approval of its use, the virtual machine image may be replicated onto other content item instances, and the first virtual machine instance may be terminated or repurposed.

Content testing during image production

Techniques for concurrent execution of multiple content item processes, such as video game processes, on a single virtual machine instance are described herein. In some examples, developers may provide an indication of a desired content item process quantity count, which is a quantity of content item processes for concurrent execution of content item sessions on each of one or more virtual machine instances. Also, in some examples, the content item process quantity count may be adjustable such that it may be changed, for example in response to various conditions or events. Also, in some cases, collected performance metric information may be used to make intelligent decisions regarding scaling of content item processes. In some examples, when a content item session stops executing on a healthy content item process, the content item process may remain active and may be reused by executing one or more subsequent content item sessions.

Virtual machine with multiple content processes

Systems and methods are described for generating a multi-player game session including a set of players with compatible preferences and behaviors. Each player can be associated with a set of behaviors exhibited by that player, as well as a set of preferences for those behaviors. On a request to initiate a game session, a first player can be paired with a set of other players whose behaviors are compatible with the preferences of the first player. Graph analysis may be used to facilitate selection of players. For example, each player may be represented as a node within a graph, and be connected to other nodes via an edge weighted according to a compatibility of preferences of the two players with their respective behaviors. In some instances, behaviors or preferences of players are determined based on analysis of in-game actions.

Behavior-aware player selection for multiplayer electronic games

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Seattle, WA, United States of America

Aleksey A Polesskiy