Amazon Technologies, Inc.

Dmitry Pushkarev

Derek Solomon Pai

Joshua Marc Burgin

Anupama Sharma

Christoph Saalfeld

Joby Sky Lafky

Aniruddha Shrlram Daptardar

Systems and methods permit customers of a service provider network to specify various constraints on a desired fleet of virtual machine instances without having to specify the hardware types of instances to be included in the fleet. Instead, the customer can specify per-instance hardware constraints (number of CPUs, amount of memory, etc.) and job constraints (e.g., deadline, budget, application type, etc.). A provisioning service accesses an internal database containing instance cost data, instance availability data, and mappings between application type and fleet configurations to propose a fleet of instances that complies with the customer-specified per-instance hardware and job constraints, thereby freeing the customer from having to be conversant in the particular instances offered by the service provider.

Computing resource provisioning

This document describes techniques for allocating instances in a service provider network. In an example embodiment, a resource manager provides a number of allocation strategies for determining which instances to assign to a client. The resource manager applies a client selected one of the allocation strategies to assign instances to the client. One of the allocation strategies includes determining for each of a plurality of pools of resource instances, an estimate of time that a unit cost of each of the number of resource instances in the pool will be no more than a maximum unit cost specified by the client. The instances are assigned to the client while the unit cost of the instances is less than a client specified amount.

Strategic resource allocation in a web-based computing system

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Palo Alto, CA, United States of America

Dmitry Pushkarev