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Process mining extends far beyond process discovery and conformance checking, and also provides techniques for bottleneck analysis and organizational mining. However, these techniques are mostly backward-looking. PMSD is a web application…

Software Engineering · Computer Science 2020-10-05 Mahsa Pourbafrani , Wil M. P. van der Aalst

Performance modeling can help to improve the resource efficiency of clusters and distributed dataflow applications, yet the available modeling data is often limited. Collaborative approaches to performance modeling, characterized by the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-24 Dominik Scheinert , Soeren Becker , Jonathan Will , Luis Englaender , Lauritz Thamsen

Declarative approaches to process modeling are regarded as well suited for highly volatile environments as they provide a high degree of flexibility. However, problems in understanding and maintaining declarative business process models…

Software Engineering · Computer Science 2015-11-12 Cornelia Haisjackl , Stefan Zugal , Pnina Soffer , Irit Hadar , Manfred Reichert , Jakob Pinggera , Barbara Weber

Almost all of the current process scheduling algorithms which are used in modern operating systems (OS) have their roots in the classical scheduling paradigms which were developed during the 1970's. But modern computers have different types…

Operating Systems · Computer Science 2010-12-16 Mohammad R Nikseresht , Anil Somayaji , Anil Maheshwari

Runtime scheduling and workflow systems are an increasingly popular algorithmic component in HPC because they allow full system utilization with relaxed synchronization requirements. There are so many special-purpose tools for task…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-03 David M. Rogers

Many project risks in distributed software development are very different from the ones in collocated development and therefore are often overlooked. At the same time, they depend to a large extent on project-specific characteristics. This…

Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales. In this manuscript…

Molecular Networks · Quantitative Biology 2015-06-23 Jan Hasenauer , Nick Jagiella , Sabrina Hross , Fabian J. Theis

Clusters, grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. The management of resources and scheduling of applications in such large-scale distributed systems is…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Rajkumar Buyya , Manzur Murshed

This study proposes a simulation framework of procurement operations in the container logistics industry that can support the development of dynamic procurement strategies. The idea is inspired by the success of Passenger Origin-Destination…

Applications · Statistics 2023-05-23 George Vassos , Klaus K. Holst , Pierre Pinson , Richard M. Lusby

The globalization of markets and world-wide competition forces manufacturing enterprises to enter into alliances leading to the creation of distributed manufacturing enterprises. Before forming a partnership it is essential to evaluate…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-14 Sameh M. Saad , Terrence Perera , Ruwan Wickramarachchi

Optimization via simulation has been well established to find optimal solutions and designs in complex systems. However, it still faces modeling and computational challenges when extended to the multi-stage setting. This survey reviews the…

Optimization and Control · Mathematics 2023-12-08 Zhuo Zhang , Dan Wang , Haoxiang Yang , Shubin Si

Due to the diversity of fuel cycle simulator modeling assumptions, direct comparison and benchmarking can be difficult. In 2012 the Organisation for Economic Co-operation and Development completed a benchmark study that is perhaps the most…

Computational Engineering, Finance, and Science · Computer Science 2016-05-05 Robert W. Carlsen , Paul P. H. Wilson

Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs).…

Artificial Intelligence · Computer Science 2018-07-03 Ario Santoso

Business process models are usually visualized using 2D representations. However, multiple attributes contained in the models such as time, data, and resources can quickly lead to cluttered and complex representations. To address these…

Human-Computer Interaction · Computer Science 2019-03-04 Manuel Gall , Stefanie Rinderle-Ma

Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge of operating characteristics of competing…

Computation · Statistics 2025-03-11 Michael Sweeting , Daniel Slade , Dan Jackson , Kristian Brock

Simulation is used extensively in autonomous systems, particularly in robotic manipulation. By far, the most common approach is to train a controller in simulation, and then use it as an initial starting point for the real system. We…

Machine Learning · Statistics 2021-10-06 Shirli Di Castro Shashua , Dotan Di Castro , Shie Mannor

Machine learning inference is increasingly being executed locally on mobile and embedded platforms, due to the clear advantages in latency, privacy and connectivity. In this paper, we present approaches for online resource management in…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Lei Xun , Long Tran-Thanh , Bashir M Al-Hashimi , Geoff V. Merrett

The rapid evolution of embedded systems, along with the growing variety and complexity of AI algorithms, necessitates a powerful hardware/software co-design methodology based on virtual prototyping technologies. The market offers a diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-20 Tim Kraus , Axel Sauer , Ingo Feldner

There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation…

Artificial Intelligence · Computer Science 2011-08-16 Peer-Olaf Siebers , Uwe Aickelin

Maintenance of multiple, distributed up-to-date copies of collections of changing Web resources is important in many application contexts and is often achieved using ad hoc or proprietary synchronization solutions. ResourceSync is a…