What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Computer network
Inderpal S. Narang spends much of his time researching Database, Operating system, Database transaction, Cache and Parallel computing.
As part of his studies on Database, Inderpal S. Narang often connects relevant areas like Metadata.
Within one scientific family, Inderpal S. Narang focuses on topics pertaining to Record locking under Operating system, and may sometimes address concerns connected to Mode.
His work on Transaction log as part of general Database transaction study is frequently linked to Data sharing, Point and Stable storage, therefore connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Data element, Granularity and Distributed computing.
His work in Database tuning covers topics such as Archive bit which are related to areas like Flat file database.
His most cited work include:
- Continuous availability and efficient backup for externally referenced objects (296 citations)
- System for managing and controlling storage access requirements (173 citations)
- Method and means for backup and restoration of a database system linked to a system for filing data (168 citations)
What are the main themes of his work throughout his whole career to date?
Inderpal S. Narang mainly focuses on Database, Operating system, Cache, Distributed computing and Page cache.
His work on Transaction log, Backup and Computer file as part of general Database study is frequently linked to Stable storage and Data sharing, bridging the gap between disciplines.
His study in Computer file is interdisciplinary in nature, drawing from both File server and Database tuning.
His study in the fields of External storage and Host under the domain of Operating system overlaps with other disciplines such as Page fault and Page replacement algorithm.
His work carried out in the field of Cache brings together such families of science as Database transaction and State.
His research in Distributed computing intersects with topics in Software deployment, Analytics, Data mining, Parallel computing and Data access layer.
He most often published in these fields:
- Database (49.44%)
- Operating system (33.71%)
- Cache (24.72%)
What were the highlights of his more recent work (between 2004-2009)?
- Database (49.44%)
- Distributed computing (16.85%)
- Query optimization (6.74%)
In recent papers he was focusing on the following fields of study:
Inderpal S. Narang mostly deals with Database, Distributed computing, Query optimization, Data mining and Sargable.
His studies in Database integrate themes in fields like Workload, Operating system, Host and Reliability.
As a member of one scientific family, Inderpal S. Narang mostly works in the field of Operating system, focusing on Reduction and, on occasion, File server.
The study incorporates disciplines such as Access network, Web service and Parallel computing in addition to Distributed computing.
His studies deal with areas such as View and Distributed database as well as Query optimization.
When carried out as part of a general Sargable research project, his work on Online aggregation is frequently linked to work in Query expansion, therefore connecting diverse disciplines of study.
Between 2004 and 2009, his most popular works were:
- Constant-Time Query Processing (129 citations)
- Query routing of federated information systems for fast response time, load balance, availability, and reliability (102 citations)
- System and architecture for enterprise-scale, parallel data mining (84 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Central processing unit
Inderpal S. Narang focuses on Query optimization, Data mining, Database, Query expansion and Online aggregation.
His Query optimization research includes themes of CPU cache and Theoretical computer science.
The Data mining study combines topics in areas such as Domain and Server.
His study in Database concentrates on Query language and View.
His Query expansion study frequently draws connections between related disciplines such as Reliability.
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.
