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20062026
most citedRandom Feature Expansions for Deep Gaussian Processes

83 citations · 343 across the 46 of their papers we have counts for

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10 papers · 1 filter

cs.DC2018★ 4 cited

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…

cs.DC2018

Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach

Damiano Carra, Giovanni Neglia, Pietro Michiardi

We consider elastic resource provisioning in the cloud, focusing on in-memory key-value stores used as caches. Our goal is to dynamically scale resources to the traffic pattern min…

cs.DC2017

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…

cs.DC2016

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…

cs.DC2016

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…

cs.DC2014

PSBS: Practical Size-Based Scheduling

Matteo Dell'Amico, Damiano Carra, Pietro Michiardi

Size-based schedulers have very desirable performance properties: optimal or near-optimal response time can be coupled with strong fairness guarantees. Despite this, such systems a…