START: Straggler Prediction and Mitigation for Cloud Computing
Environments using Encoder LSTM Networks

START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks

19 November 2021

Peter Garraghan

Rajkumar Buyya

Papers citing "START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks"

5 / 5 papers shown

Title
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers Chengxi Li Mikael Skoglund 52 3 0 19 Mar 2024
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud D. Saxena Jitendra Kumar Ashutosh Kumar Singh Stefan Schmid 22 30 0 05 Feb 2023
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions Sundas Iftikhar S. Gill Chenghao Song Minxian Xu M. Aslanpour ... Félix Cuadrado Blesson Varghese Omer F. Rana Schahram Dustdar Steve Uhlig 39 132 0 09 Dec 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems Shreshth Tuli G. Casale N. Jennings 26 36 0 14 Dec 2021