Abstract: A simulation environment (e.g., multi-player game) hosted by a provider network may implement componentized entities to reduce the amount of resource usage for a simulation (e.g., by reducing the amount of input/state data transmitted through the use of dynamically changing input structures). A user may add or remove any number of components to an entity that is simulated at the local client device. When inputs are received for one or more components, values for predictive states are locally determined for each component. An input packet is generated and sent to the provider network, which includes the inputs as well as data that is based on the values for the locally predicted states (e.g., a fingerprint or other unique ID). If necessary, a correction packet may be generated at the provider network and sent back to the client.

Abstract: A simulation environment (e.g., multi-player game) hosted by a provider network may reduce the amount of state data that needs to be rewound when performing simulation and verification of locally predicted entity states from a client device (backward reconciliation). When the simulation server receives an input packet, it determines the relevancy distance of the inputs specified by the input packet. Based on the relevancy distances and a previous state of the simulated entity corresponding to a timestamp, a volume of space is determined. The server identifies entities within the volume of space and only rewinds the state for those entities before performing backward reconciliation.

Abstract: A simulation environment (e.g., multi-player game) hosted by a provider network may implement componentized entities to reduce the amount of resource usage for a simulation (e.g., by reducing the amount of input/state data transmitted through the use of dynamically changing input structures). A user may add or remove any number of components to an entity that is simulated at the local client device. When inputs are received for one or more components, values for predictive states are locally determined for each component. An input packet is generated and sent to the provider network, which includes the inputs as well as data that is based on the values for the locally predicted states (e.g., a fingerprint or other unique ID). If necessary, a correction packet may be generated at the provider network and sent back to the client.

Abstract: A simulation environment (e.g., multi-player game) hosted by a provider network may implement componentized entities to reduce the amount of resource usage for a simulation (e.g., by reducing the amount of input/state data transmitted through the use of dynamically changing input structures). A user may add or remove any number of components to an entity that is simulated at the local client device. When inputs are received for one or more components, values for predictive states are locally determined for each component. An input packet is generated and sent to the provider network, which includes the inputs as well as data that is based on the values for the locally predicted states (e.g., a fingerprint or other unique ID). If necessary, a correction packet may be generated at the provider network and sent back to the client.

Abstract: Authoritative management of application state can be provided for a large number of participants using a set of application servers. Each participant in an active session will communicate with only a specific application server, where that server will have authority over the state information for that participant. When input is received from a participant, the input is passed to the authoritative server for processing. The authoritative server performs a simulation based on the input as of the time indicated by respective timestamps, enabling the server to utilize rewind and replay semantics to enable events performed in the past on various clients to be accurately simulated on the authoritative server, dramatically reducing the perceived latency. Results of the simulation are sent to the other application servers having authority over the state information for other participants in the session for updating the state for those participants.

Abstract: Authoritative management of application state can be provided for a large number of participants using a set of application servers. Each participant in an active session will communicate with only a specific application server, where that server will have authority over the state information for that participant. When input is received from a participant, the input is passed to the authoritative server for processing. The authoritative server performs a simulation based on the input as of the time indicated by respective timestamps, enabling the server to utilize rewind and replay semantics to enable events performed in the past on various clients to be accurately simulated on the authoritative server, dramatically reducing the perceived latency. Results of the simulation are sent to the other application servers having authority over the state information for other participants in the session for updating the state for those participants.

Abstract: Authoritative management of application state can be provided for a large number of participants using a set of application servers. Each participant in an active session will communicate with only a specific application server, where that server will have authority over the state information for that participant. When input is received from a participant, the input is passed to the authoritative server for processing. The authoritative server performs a simulation based on the input as of the time indicated by respective timestamps, enabling the server to utilize rewind and replay semantics to enable events performed in the past on various clients to be accurately simulated on the authoritative server, dramatically reducing the perceived latency. Results of the simulation are sent to the other application servers having authority over the state information for other participants in the session for updating the state for those participants.