Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Dorian Jean Perkins

dblp:199/6926 · DBLP profile ↗
← Back
4ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorComputer networks · 1Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 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
3 papers
Distributed systems · 57% Cloud and datacenter computing · 30% Storage systems · 13%
Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%

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

TopicWeightPapersLastEvidence papers
Distributed systems
data consistency
0.212015
Simba: tunable end-to-end data consistency for mobile apps · EuroSys 2015
Cloud and datacenter computing
mobile cloud computing
0.212015
Simba: tunable end-to-end data consistency for mobile apps · EuroSys 2015
Distributed systems › consistency models
tunable consistency
0.212015
Simba: tunable end-to-end data consistency for mobile apps · EuroSys 2015
Distributed and cloud data management › geo-distributed data management
geo-replicated database
0.212013
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013
Cloud and datacenter computing
cloud storage
0.212013
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013
Distributed systems › replication
data replication
0.212013
CSPAN: cost-effective geo-replicated storage spanning multiple cloud services · SIGCOMM 2013
Storage systems › distributed storage
geo-distributed storage
0.212013
CSPAN: cost-effective geo-replicated storage spanning multiple cloud services · SIGCOMM 2013
Distributed systems
fault tolerance
0.112015
Simba: tunable end-to-end data consistency for mobile apps · EuroSys 2015
Distributed systems
replication
0.012013
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013

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

geo-replication · 0.3consistency maintenance · 0.3
YearPublicationVenuePosition
2016 OSNI: Searching for Needles in a Haystack of Social Network Data
abstract
This paper presents the Online Social Network Investigator (OSNI), a scalable distributed system to search social net- work data, based on a spatiotemporal window and a list of keywords. Given that only 2% of tweets are geolocated, we have implemented and compared various state-of-art loca- tion estimation techniques. Further, to enrich the context of posts, associations of images to terms are estimated through various classication techniques. The accuracies of these es- timations are evaluated on large real datasets. OSNI's query interface is available on the Web.
Shiwen Cheng, James Fang, Vagelis Hristidis, Harsha V. Madhyastha, Niluthpol Chowdhury Mithun, Dorian Jean Perkins, Amit K. Roy-Chowdhury, Moloud Shahbazi, Vassilis J. Tsotras
EDBT6
2015 Simba: tunable end-to-end data consistency for mobile apps
abstract
Developers of cloud-connected mobile apps need to ensure the consistency of application and user data across multiple devices. Mobile apps demand different choices of distributed data consistency under a variety of usage scenarios. The apps also need to gracefully handle intermittent connectivity and disconnections, limited bandwidth, and client and server failures. The data model of the apps can also be complex, spanning inter-dependent structured and unstructured data, and needs to be atomically stored and updated locally, on the cloud, and on other mobile devices.
Dorian Jean Perkins, Nitin Agrawal 0001, Akshat Aranya, Curtis Yu, Younghwan Go, Harsha V. Madhyastha, Cristian Ungureanu
EuroSys1
2013 CSPAN: cost-effective geo-replicated storage spanning multiple cloud services
abstract
Existing cloud computing platforms leave it up to applications to deal with the complexities associated with data replication and propagation across data centers. In our work, we propose the CSPAN key-value store to instead export a unified view of storage services in several geographically distributed data centers. To minimize the cost incurred by application providers, we combine two principles. First, CSPAN spans the data centers of multiple cloud providers. Second, CSPAN judiciously trades off the lower latencies and the higher storage and data propagation costs based on an application's anticipated workload, latency goals, and consistency requirements.
Zhe Wu 0003, Michael Butkiewicz, Dorian Jean Perkins, Ethan Katz-Bassett, Harsha V. Madhyastha
SIGCOMM3
2013 SPANStore: cost-effective geo-replicated storage spanning multiple cloud services
abstract
By offering storage services in several geographically distributed data centers, cloud computing platforms enable applications to offer low latency access to user data. However, application developers are left to deal with the complexities associated with choosing the storage services at which any object is replicated and maintaining consistency across these replicas.
Zhe Wu 0003, Michael Butkiewicz, Dorian Jean Perkins, Ethan Katz-Bassett, Harsha V. Madhyastha
SOSP3