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Nitin Gupta 0001

dblp:12/1770-1 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-1042-4216ORCID · corroborated

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

Systems, architecture and hardware · 3Databases, data management, data science and information retrieval · 2Human-computer interaction and ubiquitous computing · 2

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
3 papers
Storage systems · 54% Cloud and datacenter computing · 41% Distributed systems · 5%
Network and information security
3 papers
Authentication and access control · 85% Privacy and data protection · 8% Usable security · 6%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 11 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
distributed storage
0.422014
Agility and Performance in Elastic Distributed Storage · ACM Trans. Storage 2014
SpringFS: bridging agility and performance in elastic distributed storage · FAST 2014
Cloud and datacenter computing
cloud storage
0.212014
SpringFS: bridging agility and performance in elastic distributed storage · FAST 2014
Storage systems
data migration
0.212014
Agility and Performance in Elastic Distributed Storage · ACM Trans. Storage 2014
Cloud and datacenter computing › datacenter storage
elastic storage
0.212014
Agility and Performance in Elastic Distributed Storage · ACM Trans. Storage 2014
Collaborative and social computing › user-generated content
photo sharing
0.112012
Tag, you can see it!: using tags for access control in photo sharing · CHI 2012
Collaborative and social computing › user-generated content
tagging
0.112012
Tag, you can see it!: using tags for access control in photo sharing · CHI 2012
Authentication and access control
access control policy
0.112012
Tag, you can see it!: using tags for access control in photo sharing · CHI 2012
Authentication and access control
access control
0.112010
Access control for home data sharing: evaluating social acceptability · CHI 2010
Distributed systems › resource sharing
data sharing
0.112014
Toward strong, usable access control for shared distributed data · FAST 2014
Privacy and data protection
privacy preferences
0.012012
Tag, you can see it!: using tags for access control in photo sharing · CHI 2012
Usable security › security tool usability
access control usability
0.012010
Access control for home data sharing: evaluating social acceptability · CHI 2010

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

laboratory study · 0.3trace analysis · 0.2read offloading · 0.2passive migration · 0.2bounded write offloading · 0.2semi-structured interviews · 0.1
YearPublicationVenuePosition
2014 Toward strong, usable access control for shared distributed data
Michelle L. Mazurek, William Melicher, Manya Sleeper, Lujo Bauer, Gregory R. Ganger, Nitin Gupta 0001, Michael K. Reiter
FAST7
2014 SpringFS: bridging agility and performance in elastic distributed storage
Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta 0001, Michael A. Kozuch, Gregory R. Ganger
FAST5
2014 Agility and Performance in Elastic Distributed Storage
abstract
Elastic storage systems can be expanded or contracted to meet current demand, allowing servers to be turned off or used for other tasks. However, the usefulness of an elastic distributed storage system is limited by its agility: how quickly it can increase or decrease its number of servers. Due to the large amount of data they must migrate during elastic resizing, state of the art designs usually have to make painful trade-offs among performance, elasticity, and agility. This article describes the state of the art in elastic storage and a new system, called SpringFS, that can quickly change its number of active servers, while retaining elasticity and performance goals. SpringFS uses a novel technique, termed bounded write offloading , that restricts the set of servers where writes to overloaded servers are redirected. This technique, combined with the read offloading and passive migration policies used in SpringFS, minimizes the work needed before deactivation or activation of servers. Analysis of real-world traces from Hadoop deployments at Facebook and various Cloudera customers and experiments with the SpringFS prototype confirm SpringFS’s agility, show that it reduces the amount of data migrated for elastic resizing by up to two orders of magnitude, and show that it cuts the percentage of active servers required by 67--82%, outdoing state-of-the-art designs by 6--120%.
Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta 0001, Michael A. Kozuch, Gregory R. Ganger
ACM Trans. Storage5
2012 Tag, you can see it!: using tags for access control in photo sharing
abstract
Users often have rich and complex photo-sharing preferences, but properly configuring access control can be difficult and time-consuming. In an 18-participant laboratory study, we explore whether the keywords and captions with which users tag their photos can be used to help users more intuitively create and maintain access-control policies. We find that (a) tags created for organizational purposes can be repurposed to create efficient and reasonably accurate access-control rules; (b) users tagging with access control in mind develop coherent strategies that lead to significantly more accurate rules than those associated with organizational tags alone; and (c) participants can understand and actively engage with the concept of tag-based access control.
Peter F. Klemperer, Michelle L. Mazurek, Manya Sleeper, Blase Ur, Lujo Bauer, Lorrie Faith Cranor, Nitin Gupta 0001, Michael K. Reiter
CHI8
2010 Access control for home data sharing: evaluating social acceptability
abstract
As digital content becomes more prevalent in the home, non-technical users are increasingly interested in sharing that content with others and accessing it from multiple devices. Not much is known about how these users think about controlling access to this data. To better understand this, we conducted semi-structured, in-situ interviews with 33 users in 15 households. We found that users create ad-hoc access-control mechanisms that do not always work; that their ideal policies are complex and multi-dimensional; that a priori policy specification is often insufficient; and that people's mental models of access control and security are often misaligned with current systems. We detail these findings and present a set of associated guidelines for designing usable access-control systems for the home environment.
Michelle L. Mazurek, J. P. Arsenault, Joanna Bresee, Nitin Gupta 0001, Iulia Ion, Christina Johns, Jenny Olsen, Brandon Salmon, Richard Shay, Kami Vaniea, Lujo Bauer, Lorrie Faith Cranor, Gregory R. Ganger, Michael K. Reiter
CHI4