Laurent d’Orazio

A Theoretical and Experimental Comparison of Filter-Based Equijoins in MapReduce.

2016

MapReduce has become an increasingly popular framework for large-scale data processing. However, complex operations such as joins are quite expensive and require sophisticated techniques. In this paper, we review state-of-the-art strategies for joining several relations …

ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources

2020

Cloud data center capacities are over-provisioned to handle demand peaks and hardware failures which leads to low resources' utilization. One way to improve resource utilization and thus reduce the total cost of ownership is to …

RISCLESS: A Reinforcement Learning Strategy to Exploit Unused Cloud\n Resources

2022 · arXiv (Cornell University)

One of the main objectives of Cloud Providers (CP) is to guarantee the\nService-Level Agreement (SLA) of customers while reducing operating costs. To\nachieve this goal, CPs have built large-scale datacenters. This leads, however,\nto underutilized resources and …

HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud – An Application to Deepfake Detection

2023

Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider's infrastructure as homogeneous, as well as …