Publications by Adrian Daniel Popescu

Runtime Prediction for Scale-Out Data Analytics

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

EPFL2015

A Case for Specialized Processors for Scale-Out Workloads

Anastasia Ailamaki, Babak Falsafi, Mohammad Alisafaee, Michael Ferdman, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Adrian Daniel Popescu, Al Mutaz Adileh, Dorde Jevdic

Emerging scale-out workloads need extensive amounts of computational resources. However, datacenters using modern server hardware face physical constraints in space and power, limiting further expansion and requiring improvements in the computational densi ...

Ieee Computer Soc2014

PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics

Anastasia Ailamaki, Adrian Daniel Popescu

Machine learning algorithms are widely used today for analytical tasks such as data cleaning, data categorization, or data filtering. At the same time, the rise of social media motivates recent uptake in large scale graph processing. Both categories of alg ...

2013

Clearing the Clouds: A Study of Emerging Scale-out Workloads on Modern Hardware

Anastasia Ailamaki, Babak Falsafi, Mohammad Alisafaee, Michael Ferdman, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Al Mutaz Adileh, Dorde Jevdic, Adrian Daniel Popescu

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

2012

Same Queries, Different Data: Can we Predict Query Performance?

Anastasia Ailamaki, Adrian Daniel Popescu, Miguel Sérgio De Oliveira Branco

We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...

2012

Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman, Mohammad Alisafaee, Yusuf Onur Koçberber, Stavros Volos, Ilknur Cansu Kaynak, Adrian Daniel Popescu, Al Mutaz Adileh, Dorde Jevdic

Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational ...

Association for Computing Machinery2012

Adaptive query execution for data management in the cloud

Anastasia Ailamaki, Debabrata Dash, Adrian Daniel Popescu

A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those offered by parallel DBMS. These techniques however, cannot guarantee high pe ...

ACM Press2010