To tackle these challenges, we have designed and implemented Accordia, a system that enables Adaptive Cloud Configuration Optimization for Recurring Data- ...
We have designed and implemented Accordia, a system that enables Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications.
Nov 20, 2019 · Empirical measurements show that Accordia can find a near-cost-optimal configuration for a recurring job (i.e. within 10% of the optimal cost) ...
To tackle these challenges, we have designed and implemented Accordia, a system that enables Adaptive Cloud. Configuration Optimization for Recurring Data- ...
Accordia: Adaptive Cloud Configuration Optimization ... - GitHub
github.com › cuhk-mobitec › Accordia
To tackle these challenges, we have designed and implemented Accordia, a system that enables Adaptive Cloud Configuration Optimization for Recurring Data- ...
ABSTRACT. Recognizing the diversity of big data analytic jobs, cloud providers offer a wide range of virtual machine (VM) instances or even clusters.
Specifically, we first describe the history and development of the constraint line method. We then discuss the techniques to establish the constraint lines with ...
Nov 23, 2019 · Accordia: Adaptive Cloud Configuration Optimization for. Recurring Data-Intensive Applications. Yang Liu1, Huanle Xu1,2 and Wing Cheong Lau1. 1.
To tackle these challenges, we design and implement Accordia , a system that enables Adaptive Cloud Configuration Optimization for Recurring Data-Intensive ...
Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications ... Optimization for Recurring Data-Intensive Applications.