Results 31 to 40 of about 48,436 (195)
Self‐adaptation on parallel stream processing: A systematic review
Concurrency and Computation: Practice and Experience, Volume 34, Issue 6, 10 March 2022., 2022 Summary A recurrent challenge in real‐world applications is autonomous management of the executions at run‐time. In this vein, stream processing is a class of applications that compute data flowing in the form of streams (e.g., video feeds, images, and data analytics), where parallel computing can help accelerate the executions. On the one hand, stream
Adriano Vogel +3 more
wiley +1 more source
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 The so‐called multimodal information refers to the information from different information sources on different or the same side of the same description target. These pieces of information are different in terms of storage structure, representation, semantic connotation, credibility, and emphasis, but there is a certain inevitable connection between ...
Guimei Yang, Fusheng Zhu
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With the rapid development of modern science and technology, we are now in an era of big data and digitalization of network, and people’s normal work and life are also implicitly influenced. Archives, as the information of various work examinations, are the imprints of the past and the basis for guiding the future.
Wenjingling Luo +2 more
wiley +1 more source
Motion and object detection from streaming video on Apache Flink
, 2023 Διπλωματική εργασία που υποβλήθηκε στη σχολή ΗΜΜΥ του Πολυτεχνείου Κρήτης για την πλήρωση των προυποθέσεων λήψης του προπτυχιακού διπλώματος σπουδών.Summarization: In this thesis, we present distributed video processing system, built with Apache Flink ...
Banelas Dimitrios http://users.isc.tuc.gr/~dbanelas +1 more
core +1 more source
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities
Journal of Big Data, 2019 The widespread growth of Big Data and the evolution of Internet of Things (IoT) technologies enable cities to obtain valuable intelligence from a large amount of real-time produced data.
Hamid Nasiri +2 more
doaj +1 more source
FML-kNN: scalable machine learning on Big Data using k-nearest neighbor joins
Journal of Big Data, 2018 Efficient management and analysis of large volumes of data is a demanding task of increasing scientific and industrial importance, as the ubiquitous generation of information governs more and more aspects of human life.
Georgios Chatzigeorgakidis +3 more
doaj +1 more source
Approximate Stream Analytics in Apache Flink and Apache Spark Streaming
CoRR, 2017 Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact output. The idea behind approximate computing is to compute over a representative sample instead of the entire input dataset.
Do Le Quoc +5 more
openaire +2 more sources
Resource Configuration Tuning for Stream Data Processing Systems via Bayesian Optimization
Intelligent Computing, 2022 Stream data processing systems are becoming increasingly popular in the big data era. Systems such as Apache Flink typically provide a number (e.g., 30) of configuration parameters to flexibly specify the amount of resources (e.g., CPU cores and memory ...
Shixin Huang +6 more
doaj +1 more source
Γεωμετρική παρακολούθηση ροών δεδομένων στο Apache Flink
, 2020 Summarization: The amount of data generated every day by online applications is continuously growing, which results in a demand for capable real-time stream processing frameworks. Numerous monitoring algorithms have been proposed over the years, yielding
Epoure Entouarnt http://users.isc.tuc.gr/~eepoure +1 more
core +1 more source
Applied Sciences, 2021 The real-time analysis of Big Data streams is a terrific resource for transforming data into value. For this, Big Data technologies for smart processing of massive data streams are available, but the facilities they offer are often too raw to be ...
Ilaria Bartolini, Marco Patella
doaj +1 more source