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Dmitry Shirkalin

dblp:179/3212 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Computer networks · 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 networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
iot data analytics
0.212016
Poster Abstract: Scaling IoT Device APIs and Analytics · IPSN 2016
Internet of things and sensor networks › iot resource management
iot device management
0.212016
Poster Abstract: Scaling IoT Device APIs and Analytics · IPSN 2016

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

data analytics · 0.2
YearPublicationVenuePosition
2016 Poster Abstract: Scaling IoT Device APIs and Analytics
abstract
Many IoT applications consist of two types of actions: interaction with the device, which can be sensors or actuators, and interaction with the data, for example, to reveal insights. In this poster, we introduce a software stack that provides these functionalities in a scalable manner. The API for device interaction is designed with generality in mind so that widest possible array of devices are supported and in large numbers. The analytics framework, called Composer, is designed to allow user code to be easily integrated into data analytics. We present the design, describe the implementation and deployment, and present some evaluation results. We share the performance data from a live deployment with tens of thousands of active users to demonstrate the scalability of the design.
Omprakash Gnawali, David Moss, Dmitry Shirkalin, Russell J. Clark 0001, William Eason
IPSN3