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Manoussos Gavriil Athanassoulis

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Publications associées (21)

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The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. To alleviate the loading cost, in ...

SPRINGER2020

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VLDB Endowment2017

Online Updates on Data Warehouses via Judicious Use of Solid-State Storage

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Radu Ioan Stoica

Data warehouses have been traditionally optimized for read-only query performance, allowing only offline updates at night, essentially trading off data freshness for performance. The need for 24x7 operations in global markets and the rise of online and oth ...

Assoc Computing Machinery2015

Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics

Manoussos Gavriil Athanassoulis

Today, managing, storing and analyzing data continuously in order to gain additional insight is becoming commonplace. Data analytics engines have been traditionally optimized for read-only queries assuming that the main data reside on mechanical disks. The ...

EPFL2014

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Today an ever increasing amount of data is collected and analyzed by researchers, businesses, and scientists in data warehouses (DW). In addition to the data size, the number of users and applications querying data grows exponentially. The increasing concu ...

2014

BF-Tree: Approximate Tree Indexing

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis

The increasing volume of time-based generated data and the shift in storage technologies suggest that we might need to reconsider indexing. Several workloads - like social and service monitoring - often include attributes with implicit clustering because o ...

2014

Approximate Probabilistic Tree Indexing for Partitionable Data

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis

Today we experience a shift both in storage technologies and in workloads characteristics. Firstly, solid state disks (SSD) (using flash, PCM or other low-level technologies) emerge as viable competitors of hard disk drives (HDD). Secondly, the increasing ...

2013

Scaling up analytical queries with column-stores

Anastasia Ailamaki, Ioannis Alagiannis, Manoussos Gavriil Athanassoulis

As data analytics is used by an increasing number of applications, data analytics engines are required to execute workloads with increased concurrency, i.e., an increasing number of clients submitting queries. Data management systems designed for data anal ...

2013

Sharing Data and Work Across Concurrent Analytical Queries

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Iraklis Psaroudakis

Today's data deluge enables organizations to collect massive data, and analyze it with an ever-increasing number of concurrent queries. Traditional data warehouses (DW) face a challenging problem in executing this task, due to their query-centric model: ea ...

2013

Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs). Todays SSDs store data persistently using NAND flash memory. While SSDs are more expensive than hard disks when measured in dollars per gigabyte, they are ...

2013