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A hybrid bi-objective scheduling algorithm for execution of scientific workflows on cloud platforms with execution time and reliability approach
Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution of scientific workflows requested from academics. Workflow...
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Visualization, transformation, and analysis of execution traces with the eclipse TRACE4CPS trace tool
An execution trace is a model of a single system behavior. Execution traces occur everywhere in the system’s lifecycle as they can typically be...
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Allok: a machine learning approach for efficient graph execution on CPU–GPU clusters
The unprecedented increase in interconnected data has driven the development of efficient graph analytics for extensive data analysis, resulting in...
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Prioritization and parallel execution of test cases for certification testing of embedded systems
Testing for certification of embedded systems is common in consumer electronics domain. Application vendors provide test suites that have to be...
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Secure sharing of industrial IoT data based on distributed trust management and trusted execution environments: a federated learning approach
Industrial Internet of Things (I-IoT) has become an emerging driver to operate industrial systems and a primary empowerer to future industries. With...
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Deep learning with accelerated execution: toward a real-time video analysis system
This paper demonstrates how deep learning (DL) pipeline can be accelerated by the use of field-programmable gate array (FPGA)-based accelerator. An...
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TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks
Predicting the performance of production code prior to actual execution is known to be highly challenging. In this paper, we propose a predictive...
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LoCoMotif: discovering time-warped motifs in time series
Time series motif discovery (TSMD) refers to the task of identifying patterns that occur multiple times (possibly with minor variations) in a time...
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The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study
CPython is the reference implementation of the Python programming language. Tools like machine learning frameworks, web development interfaces and...
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Jittor: a novel deep learning framework with meta-operators and unified graph execution
This paper introduces Jittor, a fully just-in-time (JIT) compiled deep learning framework. With JIT compilation, we can achieve higher performance...
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A heuristic-based package-aware function scheduling approach for creating a trade-off between cold start time and cost in FaaS computing environments
With the migration of enterprise applications to microservices and containers, cloud service providers, starting with Amazon in 2014, announced a new...
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MASS: distance profile of a query over a time series
Given a long time series, the distance profile of a query time series computes distances between the query and every possible subsequence of a long...
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Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
In the paper, the authors investigated and predicted the future environmental circumstances of a COVID-19 to minimize its effects using artificial...
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Hybrid Methods for Real-Time Video Sequence Identification of Human Soccer Referee Signals
We evaluate several real-time machine learning and hybrid symbolic algorithms to identify body-gestures of Human Soccer Referees as part of the 2022...
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Real-time distance field acceleration based free-viewpoint video synthesis for large sports fields
Free-viewpoint video allows the user to view objects from any virtual perspective, creating an immersive visual experience. This technology enhances...
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Offistretch: camera-based real-time feedback for daily stretching exercises
In this paper, we present OffiStretch, a camera-based system for optimal stretching guidance at home or in the workplace. It consists of a...
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Analysis and prediction of virtual machine boot time on virtualized computing environments
Starting a virtual machine (VM) is a common operation in cloud computing platforms. In order to achieve better management of resource provisioning, a...
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A rapidly trained DNN model for real-time flexible multibody dynamics simulations with a fixed-time increment
This study presents an efficient fixed-time increment-based approach for a data-driven analysis of flexible multibody dynamics (FMBD) problems,...
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A Comparison of Finger, Stylus and Mouse in Trajectory Tracing Task Execution on Touchscreen Mobile Devices
In this paper, we empirically investigate the performance of trajectory tracing on mobile touchscreen devices. Our main goal is to compare three...
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Regression test selection in test-driven development
The large number of unit tests produced in the test-driven development (TDD) method and the iterative execution of these tests extend the regression...
