Laurent d’Orazio
4 papers in the PaperMetrix corpus
Papers by this author
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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 …
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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 …
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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 …
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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 …