Akamai Technologies, Inc.

Oracle International Corporation

Igor Lubashev

Stephen Hill

Elizabeth L Borowsky

Debabrata Banerjee

Noam Freedman

Marcelo Torres

Katharine Jenkins

Ekrem Soylemez

James E Carey

Gregory Dorman

Matthew Dombroski

Caleb Welton

Albert A Hopeman, Iv

Bruce Golbus

Christopher Kearney

Zhiqi Qiu

Lev Margulis

A A Hopeman

Steven Hill

An overlay network is enhanced to provide traffic delivery using anycast and end user mapping. An anycast IP address is associated with sets of forwarding machines positioned in the overlay network. These locations correspond with IP addresses for zero rated billing traffic. In response to receipt at a forwarding machine of a packet, the machine issues an end user mapping request to the mapping mechanism. The mapping request has an IP address associated with the client from which the end user request originates. The mapping mechanism resolves the request and provides a response to the request. The response is an IP address associated with a set of server machines distinct from the forwarding machine. The forwarding machine encapsulates the packet and proxies the connection to the identified server. The server receives the connection, decapsulates the request, and processes the packet. The server machine responds to the requesting client directly.

Traffic delivery using anycast and end user-based mapping in an overlay network

In processing a query on multidimensional data in a multidimensional schema, a multidimensional database server performs various processes to limit the amount of data that is extracted from the database and presented to a relational database server in response to the request. A subset of data is identified to extract from the multidimensional data, based on the query. In various embodiments, cell-filtering, measure-filtering, and column-filtering criteria identified from the query are used to filter the subset of data, in order to return a minimized set of multidimensional data values from the subset of data. Therefore, computational resources are conserved with respect to further processing by the relational database server in response to the query.

Efficient SQL access to multidimensional data

An analytical workspace includes a set of data on which what-if analysis is performed, which is stored persistently and managed in a relational database system. The data may be stored as a binary large object in relational tables, and may comprise a portion of a multidimensional cube. A series of commands on the analytical workspace is received by a database server. In response to the commands, changes are made to the data in temporary storage. Redo information is not generated at this time in association with such changes. Hence, these changes are not made permanent at this time. At some point, the server may receive an update command to make the changes permanent. In response to the update command, redo information is generated for the changes reflected in the temporary storage and the changes are made permanent, in accordance with relational database properties.

Techniques for managing what-if analysis of data managed by a relational database system

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Arlington, MA, United States of America

Igor Lubashev