CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines

2 November 2018

Papers citing "CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines"

4 / 4 papers shown

Title
A Cost Effective Reliability Aware Scheduler for Task Graphs in Multi-Cloud System Atharva Tekawade Suman Banerjee 15 3 0 18 Dec 2022
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions Guangyao Zhou Wenhong Tian Rajkumar Buyya 76 78 0 10 May 2021
A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources Panagiotis Oikonomou Kostas Kolomvatsos Nikos Tziritas Georgios Theodoropoulos Thanasis Loukopoulos G. Stamoulis 16 2 0 22 Sep 2020
Reinforcement Learning-based Application Autoscaling in the Cloud: A Survey Yisel Garí David A. Monge Elina Pacini C. Mateos C. Garino OffRL 33 4 0 27 Jan 2020