activity
20182023
most citedThe Future is Big Graphs! A Community View on Graph Processing Systems

157 citations · 194 across the 12 of their papers we have counts for

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Showing cs.DCShow all

9 papers · 1 filter

cs.DC2022

Skyhook: Towards an Arrow-Native Storage System

Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez +3

With the ever-increasing dataset sizes, several file formats such as Parquet, ORC, and Avro have been developed to store data efficiently, save the network, and interconnect bandwi…

cs.DC2022★ 20 cited

Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions

Yuxuan Zhao, Alexandru Uta

In serverless computing, applications are executed under lightweight virtualization and isolation environments, such as containers or micro virtual machines. Typically, their memor…

cs.DC2021

In-Memory Indexed Caching for Distributed Data Processing

Alexandru Uta, Bogdan Ghit, Ankur Dave +2

Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suite…

cs.DC2021★ 2 cited

A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization -- Extended Technical Report

Laurens Versluis, Mehmet Cetin, Caspar Greeven +5

Improving datacenter operations is vital for the digital society. We posit that doing so requires our community to shift, from operational aspects taken in isolation to holistic an…

cs.DC2021★ 1 cited

Zero-Cost, Arrow-Enabled Data Interface for Apache Spark

Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu +4

Distributed data processing ecosystems are widespread and their components are highly specialized, such that efficient interoperability is urgent. Recently, Apache Arrow was chosen…

cs.DC2021

Towards an Arrow-native Storage System

Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez +3

With the ever-increasing dataset sizes, several file formats like Parquet, ORC, and Avro have been developed to store data efficiently and to save network and interconnect bandwidt…

cs.DC2020★ 157 cited

The Future is Big Graphs! A Community View on Graph Processing Systems

Sherif Sakr, Angela Bonifati, Hannes Voigt +38

Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…

cs.DC2020★ 3 cited

The LDBC Graphalytics Benchmark

Alexandru Iosup, Ahmed Musaafir, Alexandru Uta +15

In this document, we describe LDBC Graphalytics, an industrial-grade benchmark for graph analysis platforms. The main goal of Graphalytics is to enable the fair and objective compa…

cs.DC2018

Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems

Alexandru Iosup, Alexandru Uta, Laurens Versluis +6

Our society is digital: industry, science, governance, and individuals depend, often transparently, on the inter-operation of large numbers of distributed computer systems. Althoug…