International Business Machines Corporation

James Alan Ruddy

John Marland Garth

Harry M Yudenfriend

David Darden Chambliss

Craig Alan Friske

Peter Grimm Sutton

Dimitrios Pendarakis

Richard Harold Boivie

Donna N Dillenberger

Kenneth Alan Goldman

John C Dayka

Mohit Kapur

Alyson Comer

John Glenn Thompson

Joshua W Knight

Enriquillo Valdez

Ronald K Kreuzenstein

John J Lee

Julie Ann Watts

Bryan Frederick Smith

Yu-Cheng Hsu

Lawrence Yiumchee Chiu

Chiahong Chen

Akira Shibamiya

Laura Michiko Kunioka-Weis

Ka Chun Ng

Arnold T Banzon

Bituin B Vizconde

Deborah A Matamoros

Daniel Keith Courter

Vijayshankar Raman

Namik Hrle

Curt Lee Cotner

Garret Frederick Swart

Sam Sampson Lightstone

Thomas Abel Beavin

James Z Teng

James C Kleewein

Oliver Draese

Mengchu Cai

Ruiping Li

Prashant Pandey

David R Schwartz

Kalpana Shyam

Guillermo Alvarez

John A McPherson, Jr

Elizabeth Belva Hamel

Christina Marie Lee

Nicholas C Matsakis

Paramesh Sampatrai Desai

Thomas Majithia

Regina J Liu

Gary Howard Sockut

Mark Donald Leitch

Yufen Wang

Ted Eric Blank

Kathryn Ruth Zeidenstein

Michael T Ho

Enriquilo Valdez

David Elmer Raiman

Kevin Daniel Gougherty

Ming-Hung Hu

Koshy John

John Ai Mcpherson

A processor-implemented method for a secure processing environment for protecting sensitive information is provided. The processor-implemented method may include receiving encrypted data and routing the encrypted data to the secure processing environment. Then the encrypted data may be decrypted and fields containing sensitive information may be found. The method may also include obfuscating the sensitive information and returning, by the secure processing environment, the decrypted data and obfuscated data.

Secure processing environment for protecting sensitive information

A multi-mainframe system problem determination method includes receiving, in a first computing system, a data collection trigger, coordinating, in the first computing system, synchronized diagnostic data collection with a second computing system, and delivering the diagnostic data to a storage medium.

Problem determination in a hybrid environment

A multi-mainframe system problem determination method includes recording, in a first computing system, diagnostic data, receiving, in the first computing system, a data collection trigger, responsive to the data collection trigger, coordinating, in the first computing system, synchronized collection of recorded diagnostic data with a second computing system and delivering collected diagnostic data to a storage medium.

A multi-mainframe operating system serialization method can include receiving, in a first computing system, a request to access a data set on behalf of a first peer application, sending, in the first computing system, a notification to a second peer application to obtain a normal enqueue, in response to the second peer application obtaining the normal enqueue, obtaining, in the first computing system, a first rider enqueue for the data set and sending, in the first computing system, a communication to peer instances to obtain additional rider enqueues for the data set, the additional rider enqueues corresponding to the first rider enqueue.

Serialization of access to data in multi-mainframe computing environments

A heterogeneous computing system includes a first server module having a first operating system, a second server module communicatively coupled to the first server module, the second server module having a second operating system dissimilar to the first operating system, a data set accessible by the first server module and the second server module; and a process residing on the first server module, the process configured to grant access to the second server module, from the first server module, to the data set.

Access control in a hybrid environment

Embodiments relate to a method for data management. An aspect includes a method for assigning storage types to data based on access frequency. Past or historical data associated with current data usage is also considered prior to assignment. Once data frequency access is determined, the current data is assigned to a first tier of a plurality of hierarchical ordered tiers, each tier corresponding to at least one class of storage. In one embodiment, there may be a condition that overrides the assignment with option to override it. The tier assignment may also be preserved the tier so that the current data can be appropriately assigned in the future.

Management of data using inheritable attributes

Embodiments relate to a system and computer program product for data management. An aspect includes a method for assigning storage types to data based on access frequency. Past or historical data associated with current data usage is also considered prior to assignment. Once data frequency access is determined, the current data is assigned to a first tier of a plurality of hierarchical ordered tiers, each tier corresponding to at least one class of storage. In one embodiment, there may be a condition that overrides the assignment with option to override it. The tier assignment may also be preserved so that the current data can be appropriately assigned in the future.

A method and apparatus for transparent analytical query acceleration identifies within a database management system (DBMS) if a query is an analytical type. The query is processed with an analytical query processor if the query is the analytical type. In addition, the query is processed within the DBMS if the query is not the analytical type.

Transparent analytical query accelerator

Various aspects of this disclosure are directed to receiving, by a computing device, a first table join query that may include a first group of table identifiers that identify the two or more tables. The computing device may determine whether the first table join query includes an outer join command. When the first table join query includes the outer join command, the computing device may compare the first group of table identifiers and a second group of table identifiers of one or more pre-joined tables to determine whether each of the first table identifiers matches at least one of the second group of table identifiers. The computing device may further determine whether a predicate associated with each table identifier matches a predicate associated with a matching second table identifier. When each of the predicates match, the computing device may rewrite the first table join query.

Query rewrite for pre-joined tables

A method is disclosed that places data-intensive subprocesses in close physical and logical proximity to the facility responsible for storing the data, so that high efficiencies at reduced cost are achieved. In one specific example, new computer programs, termed adjuncts, are added and placed in a logical partition on a storage facility so that they can be invoked using appropriate commands issued on the I/O channel. Further, programs or changes are added to existing programs on the host machine, wherein such programs or changes discover the function extensions and invoke them to perform data processing.

System to delegate virtual storage access method related file operations to a storage server using an in-band RPC mechanism

A method, apparatus and program storage device for managing buffers during online reorganization. An adaptive buffer is provided having a dynamically adjustable boundary, the adaptive buffer processes log records and pointers associated with the log records during online reorganization of a database. Adaptive switching is provided between a first and a second task during the processing of data log records and index log records during the online reorganization of the database.

Method, apparatus and program storage device for managing buffers during online reorganization

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San Jose, CA, United States of America

James Alan Ruddy