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Data & Knowledge Engineering, 1996
Summary: A basic step towards flexibility in workflow systems is the consistent and effective management of workflow evolution, i.e. of changing existing workflows while they are operational. One of the most challenging issue is the handling of running instances when their schemata are modified: simple solutions can be devised, but they often imply ...
Fabio Casati +3 more
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Summary: A basic step towards flexibility in workflow systems is the consistent and effective management of workflow evolution, i.e. of changing existing workflows while they are operational. One of the most challenging issue is the handling of running instances when their schemata are modified: simple solutions can be devised, but they often imply ...
Fabio Casati +3 more
openaire +2 more sources
IEEE Transactions on Parallel and Distributed Systems, 2022
In recent years, more and more large-scale data processing and computing workflow applications run on heterogeneous clouds. Such cloud applications with precedence-constrained tasks are usually deadline-constrained and their scheduling is an essential ...
X. Tang +8 more
semanticscholar +1 more source
In recent years, more and more large-scale data processing and computing workflow applications run on heterogeneous clouds. Such cloud applications with precedence-constrained tasks are usually deadline-constrained and their scheduling is an essential ...
X. Tang +8 more
semanticscholar +1 more source
Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences, 2012
Task farming is often used to enable parameter sweep for exploration of large sets of initial conditions for large scale complex simulations. Available solutions enable to perform parameter sweep by creating multiple grid job submissions with different parameters.
Cushing, R. +5 more
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Task farming is often used to enable parameter sweep for exploration of large sets of initial conditions for large scale complex simulations. Available solutions enable to perform parameter sweep by creating multiple grid job submissions with different parameters.
Cushing, R. +5 more
openaire +2 more sources
An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules
IEEE/CAA Journal of Automatica Sinica, 2021Workflow scheduling is a key issue and remains a challenging problem in cloud computing. Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud users need to choose the most appropriate VM type for each task. Multiple
Yun Wang, Xingquan Zuo
semanticscholar +1 more source
Proceedings of the 2nd workshop on Workflows in support of large-scale science, 2007
This paper discusses the motivation for the design of a decentralised data-caching scheme for Internet scale distributed computing applications. We provide three target applications in distributed cycle sharing applications, music information retrieval workflows and for workflow-based audio visual searching across distributed information servers.
Taylor Ian +3 more
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This paper discusses the motivation for the design of a decentralised data-caching scheme for Internet scale distributed computing applications. We provide three target applications in distributed cycle sharing applications, music information retrieval workflows and for workflow-based audio visual searching across distributed information servers.
Taylor Ian +3 more
openaire +1 more source
A Workflow Change is a Workflow
2000Organizations that are geared for success within today's business environments must be capable of rapid and continuous change. This business reality is boosting the popularity of various types of workflow systems. However, current workflow systems are not yet capable of facing the ever-changing nature of their business environment.
Clarence A. Ellis, Karim Keddara
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IEEE Internet Computing, 1998
Software agents as user agents, resource agents, and brokers may be able to enhance usefulness of workflow applications. Workflow technology is important to network computing because workflows exist naturally wherever distributed resources are interrelated. The problem with current workflow technology is that it is often too rigid.
Michael N. Huhns, Munindar P. Singh
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Software agents as user agents, resource agents, and brokers may be able to enhance usefulness of workflow applications. Workflow technology is important to network computing because workflows exist naturally wherever distributed resources are interrelated. The problem with current workflow technology is that it is often too rigid.
Michael N. Huhns, Munindar P. Singh
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RLHF Workflow: From Reward Modeling to Online RLHF
Trans. Mach. Learn. Res.We present the workflow of Online Iterative Reinforcement Learning from Human Feedback (RLHF) in this technical report, which is widely reported to outperform its offline counterpart by a large margin in the recent large language model (LLM) literature ...
Hanze Dong +9 more
semanticscholar +1 more source
, 2020
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory.
A. Gelman +9 more
semanticscholar +1 more source
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory.
A. Gelman +9 more
semanticscholar +1 more source
AFlow: Automating Agentic Workflow Generation
International Conference on Learning RepresentationsLarge language models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains, typically by employing agentic workflows that follow detailed instructions and operational sequences.
Jiayi Zhang +13 more
semanticscholar +1 more source