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Jannik Blähser

dblp:302/1861 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2021
—ORCID · none

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

Computer networks · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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
Edge and fog computing · 77% Internet of things and sensor networks · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Edge and fog computing
computing continuum
0.512021
ECCO-Box: An Edge Computing and Connectivity Framework · SenSys 2021

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

edge computing · 0.5artificial intelligence · 0.5
YearPublicationVenuePosition
2021 Thine - Approach for a fault tolerant distributed packet manager based on hypercore protocol
abstract
There are a range of package managers out there which are used in almost every software development project to integrate third party packages to a project. These packages are usually stored in central repositories in the cloud. This central cloud approach brings some downsides especially with regard to fault tolerance which we want to tackle with our approach inspired by thoughts of dew computing. In this paper we present a fully distributed package manager which can be used on cloud as well as on the edge or in a hybrid environment. The approach is based on a peer-to-peer network, implemented with hypercore protocol.
Jannik Blähser, Tim Göller, Matthias Böhmer 0001
COMPSAC1
2021 ECCO-Box: An Edge Computing and Connectivity Framework
abstract
The ECCO-Box is a framework to establish connectivity of heterogeneous devices and sensors and distribute computing on the computing continuum dynamically at runtime. The goal of the dissertation is to design an architecture concept and develop a working prototype as a proof of concept. There are several requirements to the application which have to be fulfilled and will be evaluated in the form of an experimental study in the end. The main use case of the application will be processing of sensor data and analysis with artificial intelligence in an industrial environment.
Jannik Blähser
SenSys1