Monitoring of domain-related problems in distributed data streams
P Bemmann, F Biermeier, J Bürmann, A Kemper… - … Colloquium on Structural …, 2017 - Springer
Consider a network in which n distributed nodes are connected to a single server. Each
node continuously observes a data stream consisting of one value per discrete time step …
node continuously observes a data stream consisting of one value per discrete time step …
A Communication-Efficient Distributed Data Structure for Top-k and k-Select Queries
F Biermeier, B Feldkord, M Malatyali… - … and Online Algorithms …, 2018 - Springer
We consider the scenario of n sensor nodes observing streams of data. The nodes are
connected to a central server whose task it is to compute some function over all data items …
connected to a central server whose task it is to compute some function over all data items …
A Dynamic Distributed Data Structure for Top-k and k-Select Queries
B Feldkord, M Malatyali… - … on the Occasion of His 60th …, 2018 - Springer
We consider a scenario where n sensor nodes observe streams of data. The nodes are
connected to a central server whose task it is to compute some function over all data items …
connected to a central server whose task it is to compute some function over all data items …
[PDF][PDF] Distributed Data Streams
J Castenow, B Feldkord, J Hanselle… - Algorithms for Big …, 2023 - library.oapen.org
We consider a scenario where a server is wirelessly connected to countless sensor nodes
that continuously measure data. The task of the server is to monitor the sensors' data. More …
that continuously measure data. The task of the server is to monitor the sensors' data. More …
[PDF][PDF] Big data: sublinear algorithms for distributed data streams.
M Malatyali - 2019 - digital.ub.uni-paderborn.de
We consider a sensor network comprised of numerous nodes which sense the environment
and are equipped with communication capabilities to convey this information to a server …
and are equipped with communication capabilities to convey this information to a server …
DFG Priority Programme SPP 1736: Algorithms for Big Data
M Behdju, U Meyer - KI-Künstliche Intelligenz, 2018 - Springer
Abstract Volume, Velocity, and Variety are the three V s commonly used to define the term
big data. Simply put, those refer to the increasing amount of new data created, the …
big data. Simply put, those refer to the increasing amount of new data created, the …
Programming for open platforms at universities: Experience of joint activity of Petrozavodsk state university and Nokia university cooperation program
YA Bogoyavlenskiy, AV Voronin… - 2009 5th Central and …, 2009 - ieeexplore.ieee.org
In this paper, we show that Russian state educational standards “Applied Mathematics and
Computer Science” and “Information Systems and Technology” are appropriate for teaching …
Computer Science” and “Information Systems and Technology” are appropriate for teaching …
and Friedhelm Meyer auf der Heide Computer Science Department, Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany {felixbm, bjoernf, malatya …
F Biermeier, B Feldkord… - Approximation and Online …, 2018 - books.google.com
We consider the scenario of n sensor nodes observing streams of data. The nodes are
connected to a central server whose task it is to compute some function over all data items …
connected to a central server whose task it is to compute some function over all data items …