42 citations · 42 across the 4 of their papers we have counts for
4 papers
RISCLESS: A Reinforcement Learning Strategy to Exploit Unused Cloud Resources
Sidahmed Yalles, Mohamed Handaoui, Jean-Emile Dartois +3
One of the main objectives of Cloud Providers (CP) is to guarantee the Service-Level Agreement (SLA) of customers while reducing operating costs. To achieve this goal, CPs have bui…
ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
Mohamed Handaoui, Jean-Emile Dartois, Jalil Boukhobza +2
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 an…
Cost Models for Selecting Materialized Views in Public Clouds
Romain Perriot, Jérémy Pfeifer, Laurent D 'Orazio +3
Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set o…
A large-scale and fault-tolerant approach of subgraph mining using density-based partitioning
Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri +1
Recently, graph mining approaches have become very popular, especially in domains such as bioinformatics, chemoinformatics and social networks. In this scope, one of the most chall…