Helen D. Karatza

TL;DR: This paper developed realistic log file analysis applications in both frameworks and performed SQL-type queries in real Apache Web Server log files and proposed a power consumption model and an utilization-based cost estimation.

TL;DR: This paper studies the performance of a distributed Cloud Computing model, based on the Amazon Elastic Compute Cloud (EC2) architecture that implements a Gang Scheduling scheme, and results reveal that Gang Scheduled can be effectively applied in a Cloud Computing environment both performance-wise and cost-wise.

TL;DR: A hybrid fog and cloud-aware heuristic for the dynamic scheduling of multiple real-time Internet of Things workflows in a three-tiered architecture that takes into account the communication cost incurred by the transfer of data from the sensors and devices in the IoT layer to the fog layer.

TL;DR: The goal is to provide timeliness and energy efficiency by trading off result precision, while keeping the result quality of the completed jobs at an acceptable standard and the monetary cost required for the execution of the jobs at a reasonable level.

TL;DR: Simulation results indicate that the use of simulated annealing and thermodynamic simulatedAnnealing in the scheduling of a dynamic multi-cloud system with virtual machines of heterogeneous performance serving Bag-of-Tasks applications can have a significant impact in performance while maintaining a good cost-performance trade-off.