Amazon Technologies, Inc.

Christopher Reddy Kommareddy

Chiranjeeb Buragohain

Sumit Lohia

John Walter Heitmann

Blake Meike

Liang Chen

Alex Maclinovsky

Geoffrey Scott Pare

Zachary S Musgrave

Geoffry Scott Pare

Christopher Thomas

Preetha Chatterjee

Vivek Rai

Nan Zhong

Mitchell Sundt

John W Heitmann

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.

Dynamically modifying program execution capacity

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.

Attributing causality to program execution capacity modifications

Systems and methods provide logic for decentralized request routing. In one implementation, a computer-implemented method routes a request. The method includes receiving, by a client server, the request. The client server evaluates feedback information received by the client server from at least one of a plurality of host servers. The client server selects one of the plurality of host servers to process the request, based on the evaluation, and transmits the request to the selected one of the plurality of host servers.

Decentralized request routing

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Lynnwood, WA, United States of America

Christopher Reddy Kommareddy