no code implementations • 28 Jan 2024 • Chenhao Tong, Maria A. Rodriguez, Richard O. Sinnott
However, an optimal coordination strategy is often non-trivial to be manually defined due to the complex nature of patrolling environments.
no code implementations • 15 Aug 2023 • Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
It features serverless attributes by eliminating resource management responsibilities from developers and offers transparent and on-demand scalability of applications.
no code implementations • 11 Aug 2023 • Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
Therefore, in this paper, we investigate a model-free Recurrent RL agent for function autoscaling and compare it against the model-free Proximal Policy Optimisation (PPO) algorithm.
no code implementations • 16 Dec 2022 • Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott
In this approach, the agents are trained to patrol an environment with various unknown dynamics and factors.
1 code implementation • 22 May 2022 • Paola Merlo, Aixiu An, Maria A. Rodriguez
Current successes of machine learning architectures are based on computationally expensive algorithms and prohibitively large amounts of data.
no code implementations • CONLL 2020 • Maria A. Rodriguez, Paola Merlo
While they do show asymmetry of similarities, their asymmetries do not map those of human association norms.
no code implementations • 10 Oct 2018 • Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
In this paper, we propose an online incremental learning approach to predict the runtime of tasks in scientific workflows in clouds.