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Related papers: SecFlow: Adaptive Security-Aware Workflow Manageme…

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Cloud computing has emerged as a crucial solution for handling data- and compute-intensive workflows, offering scalability to address dynamic demands. However, ensuring the secure execution of workflows in the untrusted multi-cloud…

Cryptography and Security · Computer Science 2023-10-04 Nafiseh Soveizi , Dimka Karastoyanova

Workflow management systems (WMS) support the composition and deployment of workflow-oriented applications in distributed computing environments. They hide the complexity of managing large-scale applications, which includes the controlling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Muhammad H. Hilman , Maria A. Rodriguez , Rajkumar Buyya

We propose considering assurance as a model management enterprise: saying that a system is safe amounts to specifying three workflows modelling how the safety engineering process is defined and executed, and checking their conformance.…

Software Engineering · Computer Science 2019-12-23 Zinovy Diskin , Nicholas Annable , Alan Wassyng , Mark Lawford

Recent advances in generative modeling have led to promising results in robot motion planning, particularly through diffusion and flow matching (FM)-based models that capture complex, multimodal trajectory distributions. However, these…

Robotics · Computer Science 2025-11-13 Xiaobing Dai , Zewen Yang , Dian Yu , Fangzhou Liu , Hamid Sadeghian , Sami Haddadin , Sandra Hirche

A workflow describes the entirety of processing steps in an analysis, such as employed in many fields of physics. Workflow management makes the dependencies between individual steps of a workflow and their computational requirements…

Data Analysis, Statistics and Probability · Physics 2023-09-15 Caspar Schmitt , Boyang Yu , Thomas Kuhr

An established trend in software engineering insists on using components (sometimes also called services or packages) to encapsulate a set of related functionalities or data. By defining interfaces specifying what functionalities they…

Software Engineering · Computer Science 2015-07-29 Daniel Ricardo dos Santos , Silvio Ranise , Serena Elisa Ponta

Modern cloud architectures demand self-adaptive capabilities to manage dynamic operational conditions. Yet, existing solutions often impose centralized control models ill-suited to microservices decentralized nature. This paper presents…

Software Engineering · Computer Science 2025-12-30 Brice Arléon Zemtsop Ndadji , Simon Bliudze , Clément Quinton

Over the last two decades, scientific workflow management systems (SWfMS) have emerged as a means to facilitate the design, execution, and monitoring of reusable scientific data processing pipelines. At the same time, the amounts of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-03-29 Marc Bux , Ulf Leser

Serverless computing has emerged as a prominent paradigm, with a significant adoption rate among cloud customers. While this model offers advantages such as abstraction from the deployment and resource scheduling, it also poses limitations…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-26 Larissa Schmid , Marcin Copik , Alexandru Calotoiu , Laurin Brandner , Anne Koziolek , Torsten Hoefler

Blockchain technology, originally popularized by cryptocurrencies, has been proposed as an infrastructure technology with applications in many areas of business management. Blockchains provide an immutable record of transactions, which…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-30 Joerg Evermann , Henry Kim

Workflows specify collections of tasks that must be executed under the responsibility or supervision of human users. Workflow management systems and workflow-driven applications need to enforce security policies in the form of access…

Cryptography and Security · Computer Science 2017-06-23 Daniel Ricardo dos Santos , Silvio Ranise

Blockchain technology has been proposed as a new infrastructure technology for a wide variety of novel applications. Blockchains provide an immutable record of transactions, making them useful when business actors do not trust each other.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-27 Joerg Evermann , Henry Kim

Nextflow is a workflow management system commonly used in fields like bioinformatics and earth observation. It coordinates distributed data processing of various tools as an acyclic sequence of tasks while using, containerization (e.g.,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-01 Sami Kharma , Tobias Wies , Florian Schintke

In large distributed systems, failures are a daily event occurring frequently, especially with growing numbers of computation tasks and locations on which they are deployed. The advantage of representing an application with a workflow is…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Alberto Mulone , Doriana Medić , Marco Aldinucci

The growing adoption of distributed data processing frameworks in a wide diversity of application domains challenges end-to-end integration of properties like security, in particular when considering deployments in the context of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-07 Aurélien Havet , Rafael Pires , Pascal Felber , Marcelo Pasin , Romain Rouvoy , Valerio Schiavoni

Because of the open nature of the Wireless Sensor Networks (WSN), the Denial of the Service (DoS) becomes one of the most serious threats to the stability of the resourceconstrained sensor nodes. In this paper, we develop AccFlow which is…

Cryptography and Security · Computer Science 2019-03-18 Yuan Cao , Lijuan Han , Xiaojin Zhao , Xiaofang Pan

Decentralised workflow management systems are a new research area, where most work to-date has focused on the system's overall architecture. As little attention has been given to the security aspects in such systems, we follow a security…

Cryptography and Security · Computer Science 2010-06-09 Petteri Kaskenpalo

Applications in cyber-physical systems are increasingly coupled with online instruments to perform long running, continuous data processing. Such "always on" dataflow applications are dynamic, where they need to change the applications…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-24 Yogesh Simmhan , Alok Kumbhare
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