Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Steffen Zeuch"'
1
NebulaStream: Data Management for the Internet of Things
Autor: Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, Dimitrios Giouroukis, Philipp M. Grulich, Dwi Prasetyo Adi Nugroho, Ariane Ziehn, Volker Mark
Publikováno v: Datenbank-Spektrum. 22:131-141
The Internet of Things (IoT) presents a novel computing architecture for data management: a distributed, highly dynamic, and heterogeneous environment of massive scale. Applications for the IoT introduce new challenges for integrating the concepts of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::74bc171fc50767c4f01af9cf5e45697e
https://doi.org/10.1007/s13222-022-00415-0
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2
Babelfish
Autor: Philipp Marian Grulich, Steffen Zeuch, Volker Markl
Publikováno v: Proceedings of the VLDB Endowment. 15:196-210
Today's users of data processing systems come from different domains, have different levels of expertise, and prefer different programming languages. As a result, analytical workload requirements shifted from relational to polyglot queries involving
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5b87e1dd0054bc0f0582e962e462e92
https://doi.org/10.14778/3489496.3489501
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5
An Energy-Efficient Stream Join for the Internet of Things
Autor: Steffen Zeuch, Clemens Lutz, Philipp M. Grulich, Volker Markl, Adrian Michalke
Publikováno v: DaMoN
The Internet of Things (IoT) combines large data centers with (mobile, networked) edge devices that are constrained both in compute power and energy budget. Modern edge devices contribute to query processing by leveraging accelerated processing units
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f39c6ad94f51f7bd35167b7c755d4822
https://doi.org/10.1145/3465998.3466005
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6
ExDRa: Exploratory Data Science on Federated Raw Data
Autor: Kevin Innerebner, Michael Hildebrand, Alireza Rezaei Mahdiraji, Claus Neubauer, Sebastian Benjamin Wrede, Steffen Zeuch, Ankit Chaudhary, Sergey Redyuk, Philipp M. Grulich, Behrouz Derakhshan, Tobias Rieger, Sarah Osterburg, Olga Ovcharenko, Sebastian Baunsgaard, Stefan Geißelsöder, Volker Markl, Matthias Boehm
Publikováno v: SIGMOD Conference
Data science workflows are largely exploratory, dealing with under-specified objectives, open-ended problems, and unknown business value. Therefore, little investment is made in systematic acquisition, integration, and pre-processing of data. This la
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02247798e80b65cbcd99ed631c7a9848
https://doi.org/10.1145/3448016.3457549
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7
Parallelizing Intra-Window Join on Multicores
Autor: Richard T. B. Ma, Steffen Zeuch, Jiong He, Bingsheng He, Shuhao Zhang, Volker Markl, Yancan Mao, Philipp M. Grulich
Publikováno v: SIGMOD Conference
The intra-window join (IaWJ), i.e., joining two input streams over a single window, is a core operation in modern stream processing applications. This paper presents the first comprehensive study on parallelizing the IaWJ on modern multicore architec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fff68902d6e0b1e30c75290f3eadf00
https://doi.org/10.1145/3448016.3452793
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8
A survey of adaptive sampling and filtering algorithms for the internet of things
Autor: Volker Markl, Steffen Zeuch, Alexander Dadiani, Jonas Traub, Dimitrios Giouroukis
Publikováno v: DEBS
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems
DEBS '20: 14th ACM International Conference on Distributed and Event-Based Systems
DEBS '20: 14th ACM International Conference on Distributed and Event-Based Systems, Jul 2020, Montreal, Canada
International audience; The Internet of Things (IoT) represents one of the fastest emerging trends in the area of information and communication technology. The main challenge in the IoT is the timely gathering of data streams from potentially million
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42e4c84af9b58b34eb41848160991d3
https://doi.org/10.1145/3401025.3403777
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9
Pump Up the Volume
Autor: Sebastian Breß, Clemens Lutz, Tilmann Rabl, Volker Markl, Steffen Zeuch
Publikováno v: SIGMOD Conference
GPUs have long been discussed as accelerators for database query processing because of their high processing power and memory bandwidth. However, two main challenges limit the utility of GPUs for large-scale data processing: (1) the on-board memory c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08fbf890645bd55df7a6c168ad93adcd
https://doi.org/10.1145/3318464.3389705
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10
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation
Autor: Philipp M. Grulich, Jonas Traub, Tilmann Rabl, Volker Markl, Zongxiong Chen, Breß Sebastian, Janis von Bleichert, Steffen Zeuch
Publikováno v: SIGMOD Conference
Stream Processing Engines (SPEs) execute long-running queries on unbounded data streams. They follow an interpretation-based processing model and do not perform runtime optimizations. This limits the utilization of modern hardware and neglects changi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d6f26d1aa598310ede911a8a5819ee8
https://doi.org/10.1145/3318464.3389739
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