Concept

BigQuery

Publications associées (6)

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HyperLogLog: Exponentially Bad in Adversarial Settings

Mathilde Aliénor Raynal

Computing the count of distinct elements in large data sets is a common task but naive approaches are memory-expensive. The HyperLogLog (HLL) algorithm (Flajolet et al., 2007) estimates a data set's cardinality while using significantly less memory than a ...

IEEE COMPUTER SOC2022

Toward timely, predictable and cost-effective data analytics

Renata Borovica-Gajic

Modern industrial, government, and academic organizations are collecting massive amounts of data at an unprecedented scale and pace. The ability to perform timely, predictable and cost-effective analytical processing of such large data sets in order to ext ...

EPFL2016

Optimal service pricing for a cloud cache

Anastasia Ailamaki, Grégory François, Debabrata Dash, Sofia Kyriakopoulou

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management nece ...

Institute of Electrical and Electronics Engineers2011

Optimal service pricing for a cloud cache

Anastasia Ailamaki, Grégory François, Debabrata Dash, Sofia Kyriakopoulou

2011

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

An Economic Model for Self-tuned Cloud Caching

Anastasia Ailamaki, Debabrata Dash

Cloud computing, the new trend for service infrastructures requires user multi-tenancy as well as minimal capital expenditure. In a cloud that services large amounts of data that are massively collected and queried, such as scientific data, users typically ...

2009