Juan R. Loaiza mostly deals with Database, Operating system, Database index, Database design and Scheduling. His Database research is multidisciplinary, relying on both Tablespace and Computer data storage. His research in Tablespace intersects with topics in Metadata, Data mining, Block, Target database and Set.
His work on Server-side, Log shipping, Remote evaluation and Fat client is typically connected to AppleShare as part of general Operating system study, connecting several disciplines of science. His studies deal with areas such as Operations research, Change request, Operations management and Resource as well as Scheduling. His Physical data model study incorporates themes from Row, Data access, Oracle, Online transaction processing and In-memory database.
The scientist’s investigation covers issues in Database, Operating system, Cache, Computer hardware and Database server. Many of his studies on Database involve topics that are commonly interrelated, such as Tablespace. His work is dedicated to discovering how Tablespace, Target database are connected with Metadata and other disciplines.
His study looks at the relationship between Operating system and fields such as Oracle, as well as how they intersect with chemical problems. The various areas that Juan R. Loaiza examines in his Cache study include Remote direct memory access and Reading. His Computer hardware research incorporates elements of Disk buffer, Block and Row.
Juan R. Loaiza spends much of his time researching Database, Database server, Operating system, Non-volatile random-access memory and Remote direct memory access. The concepts of his Database study are interwoven with issues in Process and Oracle. His Database server research is multidisciplinary, incorporating elements of Database tuning, Data request and Computer data storage.
The Database tuning study combines topics in areas such as Timestamp, Database testing and Distributed database. His Remote direct memory access study combines topics from a wide range of disciplines, such as Hash function, Index and Cache. His Data access research is multidisciplinary, relying on both View, Computer network, Node and Physical data model.
Juan R. Loaiza focuses on Database, Row, Online transaction processing, Oracle and Data request. Juan R. Loaiza undertakes multidisciplinary investigations into Database and Database index in his work. His Row research incorporates themes from Database design, Data access, Sort-merge join, Joins and Partition.
His Online transaction processing research includes themes of Consistency, Server, Relational database management system and Data management. His Oracle research is multidisciplinary, incorporating perspectives in Scalability, SQL and Distributed computing. His research on Data request often connects related areas such as Database server.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Pluggable tablespaces for database systems
William H. Bridge;Jonathan D. Klein;J. William Lee;Juan R. Loaiza.
(1997)
System and method for providing fine-grained temporal database access
Amit Ganesh;Kenneth R. Jacobs;Jonathan Klein;Archna Kalra Johnson.
(2001)
Integrating tablespaces with different block sizes
Sreedhar Mukkamalla;Arvind Nithrakashyap;Tirthankar Lahiri;Alok Pareek.
(2002)
System and method for providing fine-grained temporal database access
Jonathan D. Klein;Amit Ganesh;Juan R. Loaiza;Gary C. Ngai.
(2001)
Method and mechanism for relational access of recovery logs in a database system
Juan R. Loaiza;Richard L. Frank;Joydip Kundu;Michael J. Cusson.
(2003)
Automatic failover for clients accessing a resource through a server
Robert Jenkins;Mehul Bastawala;Srinath Krishnaswamy.
(1997)
Automatic failover for clients accessing a resource through a server
Hasan Rizvi;Ekrem Soylemez;Juan R. Loaiza;Robert J. Jenkins.
(1997)
Automated disk-oriented backups
Steven C. Wertheimer;Juan R. Loaiza;Muthu Olagappan.
(2004)
Generating and applying redo records
Amit Ganesh;Juan R. Loaiza;Krishna Kunchithapadam.
(2013)
Method and system for reducing write latency for database logging utilizing multiple storage devices
Kesavan P. Srinivasan;Boris Erlikhman;Juan R. Loaiza;Jia Shi.
(2012)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Business International Corporation
Business International Corporation
Microsoft (United States)
The University of Texas at Dallas
Halliburton (United Kingdom)
University of Toronto
Greifswald University Hospital
Hannover Medical School
University of Strasbourg
Université Libre de Bruxelles
Peking University
University Corporation for Atmospheric Research
Kyoto University
Nederlandse Vereniging voor Neurologie
Brigham and Women's Hospital
Stanford University
Indiana University
University of Colorado Denver