Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Philipp M. Grulich"'
Publikováno v:
The VLDB Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6e593f98618353fa987f98d7b824c1
https://doi.org/10.1007/s00778-023-00793-1
https://doi.org/10.1007/s00778-023-00793-1
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
https://doi.org/10.1007/s13222-022-00415-0
Publikováno v:
The VLDB Journal.
In this paper, we present the first comprehensive survey of window types for stream processing systems which have been presented in research and commercial systems. We cover publications from the most relevant conferences, journals, and system whitep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c7be6ea87a02fe57aff7f16f19bbd7b
https://doi.org/10.1007/s00778-022-00778-6
https://doi.org/10.1007/s00778-022-00778-6
Autor:
Sebastian Breß, Volker Markl, Alejandro Rodriguez Cuellar, Asterios Katsifodimos, Tilmann Rabl, Jonas Traub, Philipp M. Grulich
Publikováno v:
ACM Transactions on Database Systems. 46:1-46
Window aggregation is a core operation in data stream processing. Existing aggregation techniques focus on reducing latency, eliminating redundant computations, or minimizing memory usage. However, each technique operates under different assumptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::469d3da7f1e2292cde5944372ad952d3
https://doi.org/10.1145/3433675
https://doi.org/10.1145/3433675
Window aggregations and windowed joins are central operators of modern real-time analytic workloads and significantly impact the performance of stream processing systems.This paper gives an overview of state-of-the-art research in this area conducted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90737e265dcf83627622bfa8e17e47e3
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
https://doi.org/10.1145/3465998.3466005
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
https://doi.org/10.1145/3448016.3457549
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
https://doi.org/10.1145/3448016.3452793
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
https://doi.org/10.1145/3318464.3389739
Autor:
Faisal Nawab, Philipp M. Grulich
Publikováno v:
Proceedings of the VLDB Endowment. 11:2046-2049
The efficient processing of video streams is a key component in many emerging Internet of Things (IoT) and edge applications, such as Virtual and Augmented Reality (V/AR) and self-driving cars. These applications require real-time high-throughput vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc263f14a6fc2fd62b9e837d1e1d35c
https://doi.org/10.14778/3229863.3236256
https://doi.org/10.14778/3229863.3236256