Amazon Technologies, Inc.

Brian Helfrich

David John Ward, Jr

Dhanvi Harsha Kapila

Stephen Alden Elliott

David Nunnerley

Peng Zhai

Rachid Ennaji

Jin Dong Kim

Geoffrey Scott Pare

Rusenia Carpio Ingram

Jin Seop Kim

One or more computing instances are instantiated and allocated to customers. The computing instances have a modifiable interruptibility property that is operable to allow a computing instance to be terminated or reallocated from a first customer to a second customer. Requests for additional computing instances having modifiable interruptibility properties are received. Information pertaining to the instantiated computing instances and requested additional computing instances is provided. The information may include a current status of the instantiated computing instances or requested additional computing resources.

Notification of computing capacity status

Methods and apparatus for a cloud resource marketplace for third-party capacity are disclosed. A system includes a plurality of resources of a primary network, and a resource manager. The resource manager implements a reservation interface allowing a client to select and reserve resources of the primary network. In response to a resell request from a third-party resource provider, requesting advertisement of the availability of a third-party resource via the reservation interface, the resource manager may determine whether to resell the third-party resource based on one or more acceptance criteria. In response to determining to resell the third-party resource, the resource manager may indicate, via the reservation interface, a pricing policy associated with the third-party resource, an interruptibility setting of the third-party resource, and a level of compatibility of the third-party resource with a control interface implemented to allow clients to perform operations on resources of the primary network.

Cloud resource marketplace for third-party capacity

One or more resource slots are allocated to a customer according to a first set of pricing policies. The customer is allowed to identify at least one of the resource slots and identify other users allowed to access the identified resource slots according to a second pricing policy, the second pricing policy being designated by the customer.

User-defined pools

One or more resource slots are instantiated and allocated to a user according to a first set of pricing policies. The user is allowed to identify at least one of the resource slots and identify other users allowed to access the identified resource slots according to a second pricing policy, the second pricing policy being designated by the user. An indication is received that a request has been received that exceeds a computing capacity. In response, additional computing capacity to allow fulfillment of the request is allocated.

Burst capacity for user-defined pools

Methods and apparatus for a job resource planner for cloud computing environments are disclosed. A system includes a plurality of resource instances of a provider network, and a resource planner. The planner receives a plan request from a client, comprising a job goal and an indication of a resource acquisition policy to be used to obtain resource instances for the job. The policy specifies one or more instance data sources. The planner generates a resource acquisition plan for the job, based at least in part on an analysis of pricing data obtained from a specified data source. The analysis comprises one or more computation steps indicated in the policy. The generated plan includes at least one recommended acquisition price for a resource instance.

Job resource planner for cloud computing environments

A computer system that provides pooled computing resources to clients may receive requests for resources, each of which includes a bid amount. While the supply of resources exceeds the demand, the system may adaptively determine a theoretical bid threshold for the resource pool that represents the predicted value of the lowest bid amount for which corresponding requests will be granted when demand for the resources exceeds supply. The determination may be dependent on a distribution of the bid amounts included in the requests for resources. The system may adaptively determine the lowest bid amount for which corresponding ones of the requests will be granted during non-contention dependent on changes in demand for the resources, the total capacity of the resource pool, and the theoretical bid threshold value, and may grant requests that include higher bid amounts. The use of some resources may be terminated in response to changes in demand.

Growing community of inventors

Seattle, WA, United States of America

Brian Helfrich