Nebulastream: Complex analytics beyond the cloud

S Zeuch, ET Zacharatou, S Zhang… - Open Journal of …, 2020 - ronpub.com
The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …

Detecting rumours with latency guarantees using massive streaming data

TT Nguyen, TT Huynh, H Yin, M Weidlich, TT Nguyen… - The VLDB Journal, 2023 - Springer
Today's social networks continuously generate massive streams of data, which provide a
valuable starting point for the detection of rumours as soon as they start to propagate …

Eires: Efficient integration of remote data in event stream processing

B Zhao, H Van Der Aa, TT Nguyen… - Proceedings of the …, 2021 - dl.acm.org
To support reactive and predictive applications, complex event processing (CEP) systems
detect patterns in event streams based on predefined queries. To determine the events that …

Vid-win: Fast video event matching with query-aware windowing at the edge for the internet of multimedia things

P Yadav, D Salwala, E Curry - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Efficient video processing is a critical component in many IoMT applications to detect events
of interest. Presently, many window optimization techniques have been proposed in event …

DARLING: data-aware load shedding in complex event processing systems

K Chapnik, I Kolchinsky, A Schuster - Proceedings of the VLDB …, 2021 - dl.acm.org
Complex event processing (CEP) is widely employed to detect user-defined combinations,
or patterns, of events in massive streams of incoming data. Numerous applications such as …

INEv: in-network evaluation for event stream processing

S Akili, S Purtzel, M Weidlich - Proceedings of the ACM on Management …, 2023 - dl.acm.org
Complex event processing (CEP) detects situations of interest by evaluating queries over
event streams. Once CEP is used in networked applications, the distribution of query …

Admission Control with Response Time Objectives for Low-latency Online Data Systems

H Xu, JA Colmenares - arXiv preprint arXiv:2312.15123, 2023 - arxiv.org
To provide quick responses to users, Internet companies rely on online data systems able to
answer queries in milliseconds. These systems employ complementary overload …

CORE: a complex event recognition engine

M Bucchi, A Grez, A Quintana, C Riveros… - arXiv preprint arXiv …, 2021 - arxiv.org
Complex Event Recognition (CER) systems are a prominent technology for finding user-
defined query patterns over large data streams in real time. CER query evaluation is known …

Load-aware shedding in stream processing systems

N Rivetti, Y Busnel, L Querzoni - Proceedings of the 10th ACM …, 2016 - dl.acm.org
Load shedding is a technique employed by stream processing systems to handle
unpredictable spikes in the input load whenever available computing resources are not …

Some new observations on slo-aware edge stream processing

A Shahid, P Kang, P Lama… - 2023 IEEE Cloud Summit, 2023 - ieeexplore.ieee.org
The emergence of edge stream processing has created a new way of processing real-time
data from the Internet of Things (IoT), which comprises a plethora of geographically …