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Extensibility Challenges of Scientific Workflow Management Systems
Researchers compose scientific workflows for complex scientific experiments and simulations by connecting tools and data in a pipeline. The usability...
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Scientific workflow execution in the cloud using a dynamic runtime model
To explain specific phenomena, scientists perform a sequence of tasks, e.g., to gather, analyze and interpret data, forming a scientific workflow....
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Develo** a Workflow Management System Simulation for Capturing Internal IaaS Behavioural Knowledge
Scientific workflows are becoming increasingly important for complex scientific applications. Conducting real experiments for large-scale workflows...
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GEO-WMS: an improved approach to geoscientific workflow management system on HPC
With the increasing complexity of scientific computing, it is imperative to enhance the efficiency and ease of High Performance Computing (HPC)...
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Energy-aware scientific workflow scheduling in cloud environment
Cloud computing represents a significant shift in computer capability acquisition from the former ownership model to the current subscription...
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Scientific Workflow Management for Software Quality Assessment Replication: An Open Source Architecture
Replication of research experiments is important for establishing the validity and generalizability of findings, building a cumulative body of...
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EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment
The processing of scientific workflow (SW) in geo-distributed cloud computing holds significant importance in the placement of massive data between...
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PPTS-PSO: a new hybrid scheduling algorithm for scientific workflow in cloud environment
The use of complex scientific workflows in cloud computing environments, taking into account different interdependency criteria, is becoming a key...
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An autonomous blockchain-based workflow execution broker for e-science
Scientific workflows are essential for many applications, enabling the configuration and execution of complex tasks across distributed resources. In...
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Adaptive golden eagle optimization based multi-objective scientific workflow scheduling on multi-cloud environment
An exemplary for emerging knowledges and the capacity to provide reliable cloud services, cloud computing. Giving consumers on-demand access to...
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Precise makespan optimization via hybrid genetic algorithm for scientific workflow scheduling problem
Task scheduling in scientific workflows represents an NP-hard problem due to the number of interdependent tasks, data transfers, and the possible...
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FOCALB: Fog Computing Architecture of Load Balancing for Scientific Workflow Applications
Fog computing has a broad scope in real-time applications. It appears in the middle of Internet of Things (IoT) users and the cloud layer. The main...
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Cost-efficient Workflow as a Service using Containers
Workflows are special applications used to solve complex scientific problems. The emerging Workflow as a Service (WaaS) model provides scientists...
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Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances
Many real-world applications executed on distributed computing systems are organized as directed acyclic graphs (DAGs) of tasks. The algorithm...
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Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm
Fog computing paradigm attempts to provide diverse processing at the edge of IoT networks. Energy usage being one of the important elements that may...
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Allocating energy-objective aware workflow in distributed edge micro data centres
A workflow is sent from the internet of things (IoT) in the real world to a distributed edge micro data centre (EMDC), which is assigned to various...
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Offloading Coalition Formation for Scheduling Scientific Workflow Ensembles in Fog Environments
Fog computing provides a distributed computing paradigm that executes interactive and distributed applications, such as the Internet of Things (IoT)...
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Smart flow: a provenance-supported smart contract workflow architecture
As blockchain technology continues to mature, its potential for use in workflow systems has garnered considerable attention. However, the adoption of...
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Evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs
Predicting execution time of computational jobs helps improve resource management, reduce execution cost, and optimize energy consumption. In this...
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MAA: multi-objective artificial algae algorithm for workflow scheduling in heterogeneous fog-cloud environment
With the development of current computing technology, workflow applications have become more important in a variety of fields, including research,...
