17 papers · ranked by Valyu relevance
Zheng Chu, Xusheng Du, Jiong Yu
With the rapid growth in the number of devices of the Internet of Things (IoT), the volume and types of stream data are rapidly increasing in the real world. Unfortunately, the stream data has the characteristics of infinite and periodic volatility in the real world, which may leads to exceptions with the inefficient…
Xikui Wang, Michael J. Carey, Vassilis J. Tsotras
Today, data is being actively generated by a variety of devices, services, and applications. Such data is important not only for the information that it contains, but also for its relationships to other data and to interested users. Most existing Big Data systems focus on passively answering queries from users, rather…
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
'Asterios Katsifodimos'] Abstract Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. This survey provides a comprehensive overview of fundamental…
Giuseppe Coviello, Kunal Rao, Murugan Sankaradas, Srimat Chakradhar
The exponential growth in smart sensors and rapid progress in 5G networks is creating a world awash with data streams. However, a key barrier to building performant multi-sensor, distributed stream processing applications is high programming complexity. We propose DataX, a novel platform that improves programmer…
Zhenpeng Zhao, Niklas Elmqvist
Data videos—motion graphics that incorporate visualizations—have been recognized as an effective way to communicate ideas, but creating such video requires both time and expertise, precluding them from being created and streamed live. We introduce DataTV, a system for combining multiple media sources in real time. We…
G.P. Saggese, Paul Smith
| 1. | Introduction | 1 | |----|--------------------------------------------|----| | 2. | DataFlow at a Glance | 6 | | 3. | Challenges in time series machine learning | 7 | | 4. | Semantics | 11 | | 5. | DAGs | 29 | | 6. | Execution Engine | 38 | | 7. | Comparison to Related Work | 47 | | | References | 49 |
Rui Xie, T. N. Sriram, Wei Biao Wu, Ping Ma
Seismic data contain complex temporal information that arrives at high speed and has a large, even potentially unbounded volume. The explosion of temporally correlated streaming data from advanced seismic sensors poses analytical challenges due to its sheer volume and real-time nature. Sampling, or data reduction, is a…
Suluk Chaikhan, Suphakant Phimoltares, Chidchanok Lursinsap, Mohamed Hammad
'Mohamed Hammad'] Big streaming data environment concerns a complicated scenario where data to be processed continuously flow into a processing unit and certainly cause a memory overflow problem. This obstructs the adaptation of deploying all existing classic sorting algorithms because the data to be sorted must be…
Wen-Chung Shih, Zheng-Yao Wang, Endah Kristiani, Yi-Jun Hsieh + 4 more
'Yuan-Hsin Sung' 'Chia-Hsin Li' 'Chao-Tung Yang' 'Guanding Yu'] This paper addresses the increasing demand for efficient and scalable streaming service applications within the context of edge computing, utilizing NVIDIA Jetson Xavier NX hardware and Docker. The study evaluates the performance of DeepStream and Simple…
Siniša Veseli, John Hammonds, Steven Henke, Hannah Parraga + 3 more
'Barbara Frosik' 'Nicholas Schwarz' 'M. Yamamoto'] A computing framework for real-time analysis of X-ray detector data streamed directly to Python applications via the EPICS pvAccess protocol is described.
Christian Kothe, Seyed Yahya Shirazi, Tristan Stenner, David Medine + 6 more
Accurately recording the interactions of humans or other organisms with their environment and other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are often infeasible or prohibitively costly to build and run…
Rohith Rajasekaran, Thomas M. Galateo, Jing Pang, Zhejing Xu + 3 more
Wireless devices use frequency modulation (FM) to reliably transmit information. Here, we establish a biochemical analogue of this paradigm using genetically encoded protein oscillators (GEOs) as carrier signals for real-time streaming of single-cell data. The GEO platform leverages evolutionarily diverse MinDE-family…
Mustafa Umut Demirezen, Tuğba Selcen Navruz, Soodamani Ramalingam, Garzia Fabio
'Garzia Fabio'] This study introduces a novel methodology designed to assess the accuracy of data processing in the Lambda Architecture (LA), an advanced big-data framework qualified for processing streaming (data in motion) and batch (data at rest) data. Distinct from prior studies that have focused on hardware…
Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe
As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which are critical in…
Jamshed Khan, Rob Patro, Prashant Pandey
Hash tables are fundamental to computational genomics, where keys are often k-mers—fixed-length substrings that exhibit a “streaming” property: consecutive k-mers share k−1 nucleotides and are processed in order. Existing static data structures exploit this locality but cannot support dynamic updates, while…
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Bipolar electrode (BPE) systems have been attracting increasing attention owing to their cost-effectiveness and wireless design. Recently, we reported the concept of streaming potential-driven BPEs for the oxidative electropolymerization of aromatic monomers without the need for an electric power supply. However, our…
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Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…