Amazon Technologies, Inc.

Benjamin Elliott Pew

Jeremy Boynes

Shashank Shekhar

Andrew Stuart Huntwork

Anna Catherine Bell

Prashant J Thakare

Girish S Lakshman

Saurabh Dileep Baji

Llewellyn W Bezanson

Jacob Andreas Kjelstrup

M Christopher Wenneman

Michael E Bundy

Michael Thomas Seifert

Jacob Frank Lucas

William P Templeton

Disclosed are various embodiments for network site customization using proxy server applications. A first request is obtained from an administrator of a network site to configure a proxy server application to obtain one or more network pages associated with a first portion of the network site from a first application executed in one or more computing devices. The proxy server application is configured in accordance with the first request. A second request is obtained from the administrator to reconfigure the proxy server application to obtain the one or more network pages from a second application executed in one or more computing devices. The network site includes one of several network sites hosted at least in part through the second application. The proxy server application is reconfigured in accordance with the second request.

Network site customization using proxies

Disclosed are various embodiments for executing untrusted content in a trusted network through the use of an external proxy server application. An identification of a resource specified by a user is obtained in one or more computing devices. The user is associated with one of a plurality of network sites hosted by the one or more computing devices. The one or more computing devices are within a trusted network that is separated from an untrusted network by a firewall. The resource is obtained from an external proxy server application executed in the untrusted network. One or more network pages are generated for the one of the network sites based at least in part on the resource.

Executing untrusted content in a trusted network

A method and system for transit characteristic prediction. In one embodiment, a method may include determining respective transit latencies from a source location to a number of destination locations, and grouping the destination locations according to a fitness function into a number of subsets corresponding to respective geographical regions. The grouping may involve a series of divisions and combinations of potential regions to form a plurality of sets of potential regions. Each set of potential regions may be evaluated using the fitness function, and the set with the better fitness score may be selected. The method may also include dynamically updating the respective transit characteristic, regrouping the regions, and reselecting a set of potential regions based on empirical transit data.

Adaptive regionalization for transit characteristic prediction

Growing community of inventors

Seattle, WA, United States of America

Benjamin Elliott Pew