P. P. S. Narayan

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9ranked-venue papers

0as first author

0since 2021 · last 2019

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 9

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval 8 papers		Distributed and cloud data management · 59% Data models and query languages · 16% Query processing and optimization · 14%
Computer architecture, parallel and distributed computing, and storage systems 3 papers		Cloud and datacenter computing · 73% Storage systems · 27%

Topics — the 14 heaviest of 16, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Distributed and cloud data management › geo-distributed data management geo-replicated database	0.4	1	2019	PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database · Proc. VLDB Endow. 2019
Cloud and datacenter computing database-as-a-service	0.1	1	2019	PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database · Proc. VLDB Endow. 2019
Data models and query languages › schema languages XML schema	0.1	1	2005	Information Preserving XML Schema Embedding · VLDB 2005
Query processing and optimization › query optimization view-based query optimization	0.0	2	2003	Optimizing View Queries in ROLEX to Support Navigable Result Trees · VLDB 2002 Composing XSL Transformations with XML Publishing Views · SIGMOD Conference 2003
Data models and query languages XML data management	0.0	1	2003	ROLEX: Relational On-Line Exchange with XML · SIGMOD Conference 2003
Query processing and optimization XML query processing	0.0	1	2003	Composing XSL Transformations with XML Publishing Views · SIGMOD Conference 2003
Database system architecture and tuning main-memory database	0.0	1	1999	DataBlitz Storage Manager: Main Memory Database Performance for Critical Applications · SIGMOD Conference 1999
Storage systems › storage architecture in-memory storage	0.0	1	1999	DataBlitz Storage Manager: Main Memory Database Performance for Critical Applications · SIGMOD Conference 1999
Indexing and storage engines in-memory storage	0.0	1	1998	DataBlitz: A High Performance Main-Memory Storage Manager · VLDB 1998
Storage systems › data placement data organization	0.0	1	1997	Incremental Organization for Data Recording and Warehousing · VLDB 1997
Data integration and cleaning schema mapping	0.0	1	2005	Information Preserving XML Schema Embedding · VLDB 2005
Data models and query languages XML query languages	0.0	1	2002	Optimizing View Queries in ROLEX to Support Navigable Result Trees · VLDB 2002
Indexing and storage engines storage management	0.0	1	1998	DataBlitz: A High Performance Main-Memory Storage Manager · VLDB 1998
Data integration and cleaning data warehouse	0.0	1	1997	Incremental Organization for Data Recording and Warehousing · VLDB 1997

Year	Publication	Venue	Position
2019	PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database abstract In this paper, we look back at the evolution of Yahoo!'s geo-replicated cloud data store from a research project called PNUTS to a globally deployed production system called Sherpa, share some of the lessons learned along the way, and finally, compare PNUTS with current operational cloud stores. Brian F. Cooper, P. P. S. Narayan, Raghu Ramakrishnan 0001, Utkarsh Srivastava, Adam Silberstein, Philip Bohannon, Hans-Arno Jacobsen, Nick Puz, Daniel Weaver, Ramana Yerneni	Proc. VLDB Endow.	2
2005	Information Preserving XML Schema Embedding Philip Bohannon, Wenfei Fan, Michael Flaster, P. P. S. Narayan	VLDB	4
2003	ROLEX: Relational On-Line Exchange with XML abstract No abstract available. Philip Bohannon, Xin Dong 0001, Sumit Ganguly, Henry F. Korth, Chengkai Li 0001, P. P. S. Narayan, Pradeep Shenoy	SIGMOD Conference	6
2003	Composing XSL Transformations with XML Publishing Views abstract While the XML Stylesheet Language for Transformations (XSLT) was not designed as a query language, it is well-suited for many query-like operations on XML documents including selecting and restructuring data. Further, it actively fulfills the role of an XML query language in modern applications and is widely supported by application platform software. However, the use of database techniques to optimize and execute XSLT has only recently received attention in the research community. In this paper, we focus on the case where XSL transformations are to be run on XML documents defined as views of relational databases. For a subset of XSLT, we present an algorithm to compose a transformation with an XML view, eliminating the need for the XSLT execution. We then describe how to extend this algorithm to handle several additional features of XSLT, including a proposed approach for handling recursion. 1. Chengkai Li 0001, Philip Bohannon, Henry F. Korth, P. P. S. Narayan	SIGMOD Conference	4
2002	Optimizing View Queries in ROLEX to Support Navigable Result Trees Philip Bohannon, Sumit Ganguly, Henry F. Korth, P. P. S. Narayan, Pradeep Shenoy	VLDB	4
2001	The Table and the Tree: On-Line Access to Relational Data through Virtual XML Documents Philip Bohannon, Henry F. Korth, P. P. S. Narayan	WebDB	3
1999	DataBlitz Storage Manager: Main Memory Database Performance for Critical Applications abstract No abstract available. Jerry Baulier, Philip Bohannon, S. Gogate, C. Gupta, Sibsankar Haldar, A. Khivesera, Henry F. Korth, Peter McIlroy, P. P. S. Narayan, M. Nemeth, Rajeev Rastogi, S. Seshadri, Avi Silberschatz, S. Sudarshan 0001, M. Wilder, C. Wei	SIGMOD Conference	11
1998	DataBlitz: A High Performance Main-Memory Storage Manager Jerry Baulier, Philip Bohannon, S. Gogate, C. Gupta, A. Khivesera, Henry F. Korth, Peter McIlroy, P. P. S. Narayan, M. Nemeth, Rajeev Rastogi, Avi Silberschatz, S. Sudarshan 0001	VLDB	10
1997	Incremental Organization for Data Recording and Warehousing H. V. Jagadish, P. P. S. Narayan, S. Seshadri, S. Sudarshan 0001, Rama Kanneganti	VLDB	2