4 citations · 4 across the 4 of their papers we have counts for
4 papers
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters
Francesco Pace, Dimitrios Milios, Damiano Carra +2
Nowadays, data-centers are largely under-utilized because resource allocation is based on reservation mechanisms which ignore actual resource utilization. Indeed, it is common to r…
Stocator: A High Performance Object Store Connector for Spark
Gil Vernik, Michael Factor, Elliot K. Kolodner +3
We present Stocator, a high performance object store connector for Apache Spark, that takes advantage of object store semantics. Previous connectors have assumed file system semant…
Flexible Scheduling of Distributed Analytic Applications
Francesco Pace, Daniele Venzano, Damiano Carra +1
This work addresses the problem of scheduling user-defined analytic applications, which we define as high-level compositions of frameworks, their components, and the logic necessar…
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service
Francesco Pace, Marco Milanesio, Daniele Venzano +2
An increasing number of Analytics-as-a-Service solutions has recently seen the light, in the landscape of cloud-based services. These services allow flexible composition of compute…