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Rajesh Rao

dblp:97/690 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Systems, architecture and hardware · 2Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1

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.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 94% Cloud and datacenter computing · 6%
Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 56% Indexing and storage engines · 44%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
distributed database
0.322013
Spanner: Google's Globally Distributed Database · ACM Trans. Comput. Syst. 2013
Spanner: Google's Globally-Distributed Database · OSDI 2012
Indexing and storage engines
columnar storage
0.312017
Spanner: Becoming a SQL System · SIGMOD Conference 2017
Distributed and cloud data management
distributed query processing
0.312017
Spanner: Becoming a SQL System · SIGMOD Conference 2017
Distributed systems
consensus
0.212013
Spanner: Google's Globally Distributed Database · ACM Trans. Comput. Syst. 2013
Distributed systems
replication
0.212013
Spanner: Google's Globally Distributed Database · ACM Trans. Comput. Syst. 2013
Distributed systems › replication › update propagation
synchronous replication
0.212013
Spanner: Google's Globally Distributed Database · ACM Trans. Comput. Syst. 2013
Distributed and cloud data management › data replication
replica consistency
0.112017
Spanner: Becoming a SQL System · SIGMOD Conference 2017
Distributed systems › distributed coordination and fault tolerance
consensus and replication
0.012012
Spanner: Google's Globally-Distributed Database · OSDI 2012

Methods — techniques the papers use, named apart from their topics

range extraction · 0.3query restart · 0.3truetime · 0.2
YearPublicationVenuePosition
2017 Record fT, fmax, and GHz amplification in 2dimensional CVD MoS2 embedded gate fets
abstract
We report on chemical vapor deposited (CVD) MoS2radio frequency (RF) transistors with a record fTof 20 GHz and fmaxof 11.4 GHz, and the largest high-field saturation velocity, νsat= 1.88 × 106cm/s, in MoS2reported so far. The gate-first approach, facilitated by cm-scale CVD MoS2, offers enhancement mode operation, ION/IOFFratio of 108, and the highest reported transconductance (gm) of 70 μS/μm. The intrinsic fT(fmax) obtained here is 3X (2X) greater than previously reported top-gated CVD MoS2RF FETs. With as-measured S-parameters, we demonstrate the design of a GHz MoS2-based RF amplifier. This amplifier has gain greater than 15 dB at 1.2 GHz, input return loss > 10 dB, bandwidth > 200 MHz, and DC power consumption of ~10 mW.
Atresh Sanne, Saungeun Park, Rudresh Ghosh, Maruthi N. Yogeesh, Chison Liu, Deji Akinwande, Sanjay Kumar Banerjee, Leo Mathew, Rajesh Rao
ISCAS9
2017 Spanner: Becoming a SQL System
abstract
Spanner is a globally-distributed data management system that backs hundreds of mission-critical services at Google. Spanner is built on ideas from both the systems and database communities. The first Spanner paper published at OSDI'12 focused on the systems aspects such as scalability, automatic sharding, fault tolerance, consistent replication, external consistency, and wide-area distribution. This paper highlights the database DNA of Spanner. We describe distributed query execution in the presence of resharding, query restarts upon transient failures, range extraction that drives query routing and index seeks, and the improved blockwise-columnar storage format. We touch upon migrating Spanner to the common SQL dialect shared with other systems at Google.
David F. Bacon, Nathan Bales, Nicolas Bruno, Brian F. Cooper, Adam Dickinson, Andrew Fikes, Campbell Fraser, Andrey Gubarev, Milind Joshi, Eugene Kogan, Alexander Lloyd, Sergey Melnik 0001, Rajesh Rao, David Shue, Marcel van der Holst, Dale Woodford
SIGMOD Conference13
2013 Spanner: Google's Globally Distributed Database
abstract
Spanner is Google’s scalable, multiversion, globally distributed, and synchronously replicated database. It is the first system to distribute data at global scale and support externally-consistent distributed transactions. This article describes how Spanner is structured, its feature set, the rationale underlying various design decisions, and a novel time API that exposes clock uncertainty. This API and its implementation are critical to supporting external consistency and a variety of powerful features: nonblocking reads in the past, lock-free snapshot transactions, and atomic schema changes, across all of Spanner.
James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost 0001, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Alexander Lloyd, Sergey Melnik 0001, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Ruth Wang, Dale Woodford
ACM Trans. Comput. Syst.20
2012 Spanner: Google's Globally-Distributed Database
James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost 0001, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Alexander Lloyd, Sergey Melnik 0001, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Ruth Wang, Dale Woodford
OSDI20
2005 Automating tactile graphics translation
abstract
Access to graphical images (bar charts, diagrams, line graphs, etc.) that are in a tactile form (representation through which content can be accessed by touch) is inadequate for students who are blind and take mathematics, science, and engineering courses. We describe our analysis of the current work practices of tactile graphics specialists who create tactile forms of graphical images. We propose automated means by which to improve the efficiency of current work practices.We describe the implementation of various components of this new automated process, which includes image classification, segmentation, simplification, and layout. We summarize our development of the tactile graphics assistant, which will enable tactile graphics specialists to be more efficient in creating tactile graphics both in batches and individually. We describe our unique team of researchers, practitioners, and student consultants who are blind, all of whom are needed to successfully develop this new way of translating tactile graphics.
Richard E. Ladner, Melody Y. Ivory, Rajesh Rao, Sheryl Burgstahler, Dan Comden, Sangyun Hahn, Matthew Renzelmann, Satria Krisnandi, Mahalakshmi Ramasamy, Beverly Slabosky, Amelia Lacenski, Stuart Olsen, Dmitri Groce
ASSETS3