Teradata Us, Inc.

Criselda Samera Carrillo

John Mark Morris

P Keith Muller

Gary Lee Boggs

Donn Harold Holtzman

Paul Andersen

Peter Ian Frazier

Paul Rubio

Ronald Yellin

Kevin Reed Sanders

Aarati Abhijit Khobare

Apparatus, systems, and methods may operate to classify storage locations in a storage medium according to at least three response time grades, to classify data to be stored in the storage locations according to at least three access frequency grades, and to migrate the data between the storage locations according to a predicted access frequency assigned to preemptive allocations of some of the storage locations, based on the response time grade and the access frequency grade associated with the data prior to migration. Other apparatus, systems, and methods are disclosed.

Differential data storage based on predicted access frequency

A technique for managing storage of a data object in a storage device involves receiving the data object (A) to store in the storage device, where the data object has an indicator bit pattern (P). Successive compression data transformations are applied to data object A to obtain respective corresponding compressed data objects, and one of these compressed data objects is selected, such that the selected compressed data object (C) has the shortest length with respect to the remaining compressed data objects. Compression information (I) is then associated with the compression data transformation used to generate data object C, and a threshold value T is calculated at least partly from the length of compression information I. If length (C)+T.gtoreq.length (A), then the indicator bit pattern of data object A is reset and the data object A is written to the storage device. If length (C)+T&#x3c;length (A), then the indicator bit pattern of data object C is set, compression information I is incorporated into data object C, and data object C is written to the storage device.

Method of managing storage and retrieval of data objects

The frequency with which data is accessed within the system may be periodically monitored and a corresponding access frequency quantifier assigned to the data is updated accordingly. The data access frequency quantifier may be associated with a storage device zone speed quality rating. The association between data access frequency quantifiers and the storage device zone speed quality ratings may be made in a hierarchical association such that quantifiable differentials may be ascertained between a particular access frequency quantifier and a storage device zone speed quality rating. In this manner, when no storage zone having a speed quality rating that is associated with data having a particular access frequency quantifier is available for storage of the data, a storage zone having a speed quality rating more proximate the speed quality rating associated with the access frequency quantifier may be identified for migration.

System, method, and computer-readable medium for optimized data storage and migration in a database system

The subject matter herein relates to database management systems and, more particularly, to decoupled logical and physical data storage within a database management system. Various embodiments provide systems, methods, and software that separate physical storage of data from logical storage of data. These embodiments include a mapping of logical storage to physical storage to allow data to be moved within the physical storage to increase database responsiveness.

Decoupled logical and physical data storage within a database management system

A technique for managing storage of a data object in a storage device involves receiving the data object (A) to store in the storage device, where the data object has an indicator bit pattern (P). Successive compression data transformations are applied to data object A to obtain respective corresponding compressed data objects, and one of these compressed data objects is selected, such that the selected compressed data object (C) has the shortest length with respect to the remaining compressed data objects. Compression information (I) is then associated with the compression data transformation used to generate data object C, and a threshold value T is calculated at least partly from the length of compression information I. If length (C)+T&#x2267;length (A), then the indicator bit pattern of data object A is reset and the data object A is written to the storage device. If length (C)+T&#x3c;length (A), then the indicator bit pattern of data object C is set, compression information I is incorporated into data object C, and data object C is written to the storage device.

A system calculates the optimal allocation of two or more resources provided by a resource provider to a task within a computer system from a plurality of possible allocations. In doing so, the system calculates the total volume of an N-dimensional cube, where N is the number of resources provided by the resource provider, representing the respective amounts of resources available to be allocated. The system also calculates the average volume of the N&#x2212;1 dimensional shapes forming the sides of the N-dimensional cube. The system then calculates, at least partly from the ratio of the total volume to the average volume, the balance resulting from the allocation of resources represented by the N-dimensional cube. The system then calculates the imbalance resulting from the allocation of resources at least partly from the balance and determines the smallest imbalance as the optimal allocation of resources.

Balanced allocation of multiple resources, or of multiple resources from multiple providers

The subject matter herein relates to database management systems and, more particularly, to decoupled logical and physical data storage within a database management system. Various embodiments provide systems, methods, and software that separate physical storage from logical storage of data. These embodiments include a mapping of logical storage to physical storage to allow data to be moved within the physical storage to increase database responsiveness.

A system calculates the optimal allocation of two or more resources provided by a resource provider to a task within a computer system from a plurality of possible allocations. In doing so, the system calculates the total volume of an N-dimensional cube, where N is the number of resources provided by the resource provider, representing the respective amounts of resources available to be allocated. The system also calculates the average volume of the N-1 dimensional shapes forming the sides of the N-dimensional cube. The system then calculates, at least partly from the ratio of the total volume to the average volume, the balance resulting from the allocation of resources represented by the N-dimensional cube. The system then calculates the imbalance resulting from the allocation of resources at least partly from the balance and determines the smallest imbalance as the optimal allocation of resources.

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San Diego, CA, United States of America

Criselda Samera Carrillo