International Business Machines Corporation

David Tao

Joel Leonard Wolf

Kirsten Weale Hildrum

Nikhil Bansal

Lisa Karen Fleischer

James R H Challenger

Richard Pervin King

Deepak Rajan

Frederick Douglis

Laura Wynter

John Davis Palmer

William H Tetzlaff

Elizabeth Suzanne Richards

Oktay Gunluk

Philip Shi-lung Yu

Akshay Kumar Reddy Katta

Nagui Halim

John Michael Tracey

Kay Schwendimann Anderson

A storage system includes a plurality of data vats, and a processor including an optimizing unit that optimizes a value of data stored in the storage system. The optimizing unit optimizes the value by computing and implementing an optimal decision for allocating new data to a first data vat of the plurality of data vats, moving existing data from at least a second data vat of the plurality of data vats to the first data vat, and deleting existing data from the first data vat, based on an amount of data in each of the plurality of data vats.

System and method for optimizing data in value-based storage system

An apparatus and method for making fractional assignments of processing elements to processing nodes for stream-based applications in a distributed computer system includes determining an amount of processing power to give to each processing element. Based on a list of acceptable processing nodes, a determination of fractions of which processing nodes will work on each processing element is made. To update allocations of the amount of processing power and the fractions, the process is repeated.

Method and apparatus for assigning fractional processing nodes to work in a stream-oriented computer system

A method of choosing jobs to run in a stream based distributed computer system includes determining jobs to be run in a distributed stream-oriented system by deciding a priority threshold above which jobs will be accepted, below which jobs will be rejected. Overall importance is maximized relative to the priority threshold based on importance values assigned to all jobs. System constraints are applied to ensure jobs meet set criteria.

Method and apparatus for assigning candidate processing nodes in a stream-oriented computer system

A method (and system) of storing data in a value-based storage system, includes optimizing a value of data stored in the value-based storage system.

A system and method for optimizing a storage system to support short data object lifetimes and highly utilized storage space are provided. With the system and method, data objects are clustered based on when they are anticipated to be deleted. When an application stores data, the application provides an indicator of the expected lifetime of the data, which may be a retention value, a relative priority of the data object, or the like. Data objects having similar expected lifetimes are clustered together in common data structures so that clusters of objects may be deleted efficiently in a single operation. Expected lifetimes may be changed by applications automatically. The system automatically determines how to handle these changes in expected lifetime using one or more of copying the data object, reclassifying the container in which the data object is held, and ignoring the change in expected lifetime for a time to investigate further changes in expected lifetime of other data objects.

Optimizing a storage system to support short data lifetimes

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Glen Burnie, MD, United States of America

David Tao