Results 321 to 330 of about 1,158,172 (358)

Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds

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, Wenbiao Cao, Huiya Tang, Tan Deng, Jing Mei, Yi Liu, Cheng Shi, Meng Xia, Zeng Zeng   +8 more
semanticscholar   +1 more source

Workflow evolution

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, CERI, STEFANO, PERNICI, BARBARA, POZZI, GIUSEPPE   +3 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, 2021
Workflow 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

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, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang   +9 more
semanticscholar   +1 more source

Real-Time Multiple-Workflow Scheduling in Cloud Environments

IEEE Transactions on Network and Service Management, 2021
With the development of cloud computing, an increasing number of applications in different fields have been deployed to the cloud. In this process, the real-time scheduling of multiple workflows composed of tasks from these different applications must ...
Xiaojin Ma, Huahu Xu, Honghao Gao, Minjie Bian   +3 more
semanticscholar   +1 more source

AFlow: Automating Agentic Workflow Generation

International Conference on Learning Representations
Large 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, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bangbang Liu, Yuyu Luo, Chenglin Wu   +13 more
semanticscholar   +1 more source

Agent Workflow Memory

International Conference on Machine Learning
Despite the potential of language model-based agents to solve real-world tasks such as web navigation, current methods still struggle with long-horizon tasks with complex action trajectories.
Z. Z. Wang, Jiayuan Mao, Daniel Fried, Graham Neubig   +3 more
semanticscholar   +1 more source

Declarative Workflow

2009
During the design of any information system, it is important to balance between flexibility and support. This is of particular importance when designing process-aware information systems. On the one hand, userswant to have support from the system to conduct their daily activities in a more efficient and effective manner.
Pesic, M., Schonenberg, H., Aalst, van der, W.M.P.   +2 more
openaire   +2 more sources

AutoFlow: Automated Workflow Generation for Large Language Model Agents

arXiv.org
Recent advancements in Large Language Models (LLMs) have shown significant progress in understanding complex natural language. One important application of LLM is LLM-based AI Agent, which leverages the ability of LLM as well as external tools for ...
Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang   +8 more
semanticscholar   +1 more source